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IBM
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  - NLP@IBM
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  - Watson Speech-to-Text
Internet
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 - WordPress
 - Installing WordPress
 
 Installing Wordpress Locally Using MAMP — Michael Doig
 
 Tags:
 
 Installing WordPress
 
 2007-07-07 About
 
 WordPress on Mac Part 3: Installing WordPress All Forces
 
 Tags:
 
 Installing WordPress
 
 2007-07-07 About
 
 WordPress on Mac Part 1: PHP & MySQL All Forces
 
 Tags:
 
 Installing WordPress
 MySQL
 PHP
 
 2007-07-07 About
 
 Prepare Mac OS X for WordPress
 
 Tags:
 
 Installing WordPress
 
 Fortunately there are comprehensive instructions at MacZealots.com. Unfortunately, the instructions were written in May 2005 for WordPress 1.5, and are slightly dated. There’s also a small area of uncertainty around editing the file called httpd.conf. This entry provides some useful extra tips.
 
 2007-07-07 About
 
 Installing WordPress on Tiger
 
 Tags:
 
 Installing WordPress
 
 2007-07-07 About
 - SparqlPress
 
 SparqlPress - SPARQL-ing days
 
 Tags:
 
 SparqlPress
 
 SparqlPress explores the addition of an RDF store to the Wordpress weblogging system through PHP-based extensions, providing a basic Personal Semantic Web Aggregator that can integrate interesting data from nearby in the Web, exposing it to local and remote applications via the SPARQL query language and protocol. The primary goal is to populate the local store with an interesting subset of the nearby Semantic Web, through discovery and crawling of RDF data from the websites (typically blogs; initially Wordpress blogs running the FOAF/SKOS plugin).
 
 2008-02-17 About
 
 DanBriSlides - SPARQL-ing days
 
 Tags:
 
 Dan Brickley
 SPARQL
 SparqlPress
 
 Notes from danbri talk, and motivation for SparqlPress
 
 2008-02-17 About
 - Blogs Le Monde
 - Fake Blogs
 - Google AI Blog
 - Microblogs
 - CIMBA
 - Twitter
 - Twittérature
 
 Twitter Novels: Not Big Success Stories Yet – ReadWrite
 
 Tags:
 
 Twittérature
 
 2014-05-27 About
 
 Nouvelles en trois lignes — Wikipédia
 
 Tags:
 
 Twittérature
 
 Madame Fournier, M. Voisin, M. Septeuil se sont pendus : neurasthénie, cancer, chômage.
 
 2014-05-27 About
 
 Twittérature
 
 Tags:
 
 Twittérature
 
 2014-05-27 About
 - ML/NLP blog
 - Semantic Blog
 - semblog
 Danny Ayers, Raw Blog
 
 Tags:
 
 Semantic Blog
 
 2005-07-04 About
 - Semantic Web blog
 - Les petites cases
 - Transnets
- Cybersex
- Digital economy
 - Prolétaires2.0
- Droit et internet
 - Loi sur le téléchargement
 - HADOPI
 
 Plus fort qu'Hadopi ? Un site dévoile ce que vous avez piraté sur BitTorrent !
 
 Tags:
 
 BitTorrent
 HADOPI
 
 2011-12-17 About
 
 La NSA, la DGSE et la DCRI ne disent pas merci à l’Hadopi - BUG BROTHER - Blog LeMonde.fr
 
 Tags:
 
 Bug Brother
 HADOPI
 NSA
 
 2011-02-04 About
 
 Une loi scandaleuse et ridicule - Conversation avec Jacques Attali - Lexpress
 
 Tags:
 
 Bien envoyé
 HADOPI
 Jacques Attali
 
 2009-05-14 About
 
 Il est stupide d'aller contre Internet avec bâton, casque et ciseaux, par Eric Rochant
 
 Tags:
 
 Bien envoyé
 HADOPI
 
 Et voilà que nos parlementaires, d'anciens ministres de la culture, le gouvernement français, la France, quoi, s'avance, imbue d'elle-même... nous venons annoncer que nous sommes vieux, fatigués, affaiblis, apeurés, mais que - ô gloire - nous pouvons encore donner quelques coups de matraque. Cette loi non seulement ne protège pas les droits des créateurs, non seulement attente à la liberté sous de nombreux aspects, mais surtout agresse, voire insulte cette partie de la population qui - jeune peut-être - vit la mondialisation sans états d'âme, celle qui épouse le mouvement de l'histoire avec gaieté, curiosité, effronterie, qui utilise, crée, exploite, détourne l'outil du siècle.
 
 2009-05-12 About
 
 French anti-P2P law toughest in the world
 
 Tags:
 
 HADOPI
 
 2009-05-11 About
 
 Dénoncé par Albanel, viré par TF1
 
 Tags:
 
 Gouvernement Sarkozy
 HADOPI
 Sarkozyland
 TF1
 
 Un cadre de TF1 hostile à la loi Hadopi a écrit à sa députée, Françoise de Panafieu. Qui a fait suivre à la ministre de la Culture. Qui a transmis à la chaîne. Qui l’a licencié.
 
 2009-05-11 About
 
 Hadopi: lettre ouverte à un représentant de la nation | slate
 
 Tags:
 
 HADOPI
 
 2009-04-22 About
 
 HADOPI, « Riposte graduée » : Une réponse inefficace, inapplicable et dangereuse à un faux problème.
 
 Tags:
 
 HADOPI
 
 2009-02-18 About
- Freedom Box
- Google
 - Accelerated Mobile Pages (AMP)
 - AI@Google
 - DeepMind
 AlphaFold
 
 AlphaFold’s new rival? Meta AI predicts shape of 600 million proteins
 
 Tags:
 
 AI@Meta
 AlphaFold
 
 2023-01-11 About
 
 One of the Biggest Problems in Biology Has Finally Been Solved - Scientific American
 
 Tags:
 
 AlphaFold
 Demis Hassabis
 
 Google DeepMind CEO Demis Hassabis explains how its AlphaFold AI program predicted the 3-D structure of every known protein
 
 2022-11-01 About
 
 AlphaFold 2 is here: what’s behind the structure prediction miracle | Oxford Protein Informatics Group
 
 Tags:
 
 AlphaFold
 
 > to recap: AlphaFold 2 finds similar sequences to the input, extracts the information using an especial neural network architecture (a transformer), and then passes that information to another neural network that produces a structure.
 
 2021-10-20 About
 
 L’intelligence artificielle, génie de la biologie moléculaire
 
 Tags:
 
 AlphaFold
 DeepMind
 Molecular Biology
 
 2021-10-20 About
 
 Alphago
 AlphaZero
 
 Jim Fan sur Twitter : "Do you know that DeepMind has actually open-sourced the heart of AlphaGo & AlphaZero?... "
 
 Tags:
 
 Alphago
 AlphaZero
 DeepMind
 Open Source
 Tweet
 
 2023-02-15 About
 
 Jim Fan sur Twitter : "Do you know that DeepMind has actually open-sourced the heart of AlphaGo & AlphaZero?... "
 
 Tags:
 
 Alphago
 AlphaZero
 DeepMind
 Open Source
 Tweet
 
 2023-02-15 About
 
 AlphaGo Zero: Learning from scratch | DeepMind
 
 Tags:
 
 Alphago
 Reinforcement learning
 
 2017-10-18 About
 
 Intelligence artificielle : toujours plus puissant, AlphaGo apprend désormais sans données humaines
 
 Tags:
 
 Alphago
 
 2017-10-18 About
 
 Go humans: Lee Sedol scores first victory against supercomputer | World news | The Guardian
 
 Tags:
 
 Alphago
 Lee Sedol
 
 2016-03-13 About
 
 The Sadness and Beauty of Watching Google’s AI Play Go | WIRED
 
 Tags:
 
 Alphago
 
 2016-03-11 About
 
 Chichilla
 
 Andrej Karpathy sur Twitter : "Great post (5mo ago) "chinchilla's wild implications" giving context to LLM goldrush shifting from model size to dataset size..."
 
 Tags:
 
 Andrej Karpathy
 Chichilla
 Language Models: size
 LLM
 Tweet
 
 2023-01-05 About
 
 [2404.11018] Many-Shot In-Context Learning
 
 Tags:
 
 Arxiv Doc
 DeepMind
 Hugo Larochelle
 LLMs: extended context window
 Many-Shot In-Context Learning
 NLP@Google
 
 2024-04-21 About
 
 Diffusion language models – Sander Dieleman
 
 Tags:
 
 DeepMind
 Diffusion model
 Generative Transformer LM
 Language Model
 
 > Diffusion models have completely taken over generative modelling of perceptual signals -- why is autoregression still the name of the game for language modelling? And can we do anything about that?
 
 2023-04-06 About
 
 Jim Fan sur Twitter : "Do you know that DeepMind has actually open-sourced the heart of AlphaGo & AlphaZero?... "
 
 Tags:
 
 Alphago
 AlphaZero
 DeepMind
 Open Source
 Tweet
 
 2023-02-15 About
 
 An empirical analysis of compute-optimal large language model training
 
 Tags:
 
 DeepMind
 Language Models: size
 LLM
 LM Training
 NLP@Google
 
 > the current large language models are far too large for their compute budget and are not being trained on enough data.
 
 2023-01-26 About
 
 [2301.08210] Everything is Connected: Graph Neural Networks
 
 Tags:
 
 Arxiv Doc
 DeepMind
 Graph neural networks
 Survey / Review
 
 > **it is likely that the very cognition processes driving our reasoning and decision-making are, in some sense, graph-structured.** That is, paraphrasing a quote from Forrester (1971), nobody really imagines in their head all the information known to them; rather, they imagine only selected concepts, and relationships between them, and use those to represent the real system. (yep, that's why I made semanlink) > Transformers are themselves a special case of GNNs
 
 2023-01-21 About
 
 Leshem Choshen sur Twitter : "Computational (Chomskian) hierarchies can predict OOD capabilities..."
 
 Tags:
 
 DeepMind
 Generalization
 Memory in deep learning
 Tweet
 
 About a paper by DeepMind ["Neural Networks and the Chomsky Hierarchy"](https://arxiv.org/abs/2207.02098) > for our subset of tasks, RNNs and Transformers fail to generalize on non-regular tasks... only networks augmented with structured memory (such as a stack or memory tape) can successfully generalize on context-free and context-sensitive tasks
 
 2022-07-11 About
 
 Andrew Trask about large language models: The "bigness" is a temporary flaw, not a permanent feature of progress"
 
 Tags:
 
 DeepMind
 Language
 Language Models: size
 Tweet
 
 2022-03-13 About
 
 Improving Language Models by Retrieving from Trillions of Tokens | DeepMind
 
 Tags:
 
 DeepMind
 Language Model
 Retrieval augmented LM
 
 > Retrieval-Enhanced Transformer (Retro)
 
 2021-12-09 About
 
 L’intelligence artificielle, génie de la biologie moléculaire
 
 Tags:
 
 AlphaFold
 DeepMind
 Molecular Biology
 
 2021-10-20 About
 
 Making sense of raw input
 
 Tags:
 
 Artificial general intelligence
 DeepMind
 
 >... this way we are able to **jointly learn** how to perceive (**mapping raw sensory information to concepts**) and apperceive (**combining concepts into declarative rules**) cf. [Making sense of sensory input](doc:2021/04/1910_02227_making_sense_of_se)
 
 2021-05-21 About
 
 [1910.02227] Making sense of sensory input
 
 Tags:
 
 Artificial general intelligence
 Arxiv Doc
 DeepMind
 
 > what does it mean to “make sense” of a sensory sequence? Our answer is that making sense means constructing a symbolic theory containing a set of objects that persist over time, with attributes that change over time, according to general laws. This theory must both explain the sensory input, and satisfy unity conditions [the constituents of our theory – objects, properties, and atoms – must be integrated into a coherent whole] Sequel: [Making sense of raw input](doc:2021/05/making_sense_of_raw_input)
 
 2021-04-10 About
 
 [1911.05507] Compressive Transformers for Long-Range Sequence Modelling
 
 Tags:
 
 Arxiv Doc
 DeepMind
 Long documents
 Memory in deep learning
 Sequence-to-sequence learning
 Transformers
 
 > the Compressive Transformer, an attentive sequence model which compresses past memories for long-range sequence learning. [Blog post](/doc/2020/02/a_new_model_and_dataset_for_lon)
 
 2020-02-11 About
 
 A new model and dataset for long-range memory | DeepMind
 
 Tags:
 
 DeepMind
 Memory in deep learning
 
 the use of memory in deep learning, and how modelling language may be an ideal task for developing better memory architectures [paper](/doc/2020/02/_1911_05507_compressive_transf)
 
 2020-02-11 About
 
 Restoring ancient text using deep learning: a case study on Greek epigraphy | DeepMind
 
 Tags:
 
 Archéologie
 Deep Learning
 DeepMind
 Ecriture
 Grèce antique
 Histoire + NLP
 
 2019-10-18 About
 
 Language and Perception in Deep Learning - Florian Strub DeepMind, Univ. Lille, Inria
 
 Tags:
 
 DeepMind
 Grounded Language Learning
 Paris NLP meetup
 Slides
 
 A [Related paper](/doc/2019/10/feature_wise_transformations)
 
 2019-10-07 About
 
 Intelligence artificielle : DeepMind s’intéresse au jeu de cartes français Hanabi
 
 Tags:
 
 DeepMind
 Jeux
 
 2019-02-07 About
 
 The Kanerva Machine: A Generative Distributed Memory | OpenReview (2018)
 
 Tags:
 
 DeepMind
 Memory in deep learning
 Sparse distributed memory
 Variational autoencoder (VAE)
 
 A generative memory model that combines slow-learning neural networks and a fast-adapting linear Gaussian model as memory
 
 2018-12-06 About
 
 [1807.03748] Representation Learning with Contrastive Predictive Coding
 
 Tags:
 
 Arxiv Doc
 Contrastive Self-Supervised Learning
 DeepMind
 Representation learning
 Unsupervised machine learning
 
 > a universal unsupervised learning approach to extract useful representations from high-dimensional data, which we call Contrastive Predictive Coding. The key insight of our model is to learn such representations by predicting the future in latent space by using powerful [autoregressive models](/tag/autoregressive_model). We use a probabilistic contrastive loss which induces the latent space to capture information that is maximally useful to predict future samples. It also makes the model tractable by using [negative sampling](/tag/negative_sampling). a contrastive method that can be applied to any form of data that can be expressed in an ordered sequence: text, speech, video...
 
 2018-07-21 About
 
 [1806.01261] Relational inductive biases, deep learning, and graph networks
 
 Tags:
 
 AI@Google
 Artificial general intelligence
 Arxiv Doc
 Combinatorial generalization
 DeepMind
 Frequently cited paper
 Graph neural networks
 NN / Symbolic AI hybridation
 Relational inductive biases
 TODO-READ!
 
 > generalizing beyond one's experiences--a hallmark of human intelligence from infancy--remains a formidable challenge for modern AI > A key signature of human intelligence is the ability to make infine use of finite means" (Humboldt, 1836; Chomsky, 1965) (ex: words / sentences > Here we explore how to improve modern AI's capacity for **combinatorial generalization** by biasing learning towards structured representations and computations, and in particular, systems that operate on graphs. (papier recommandé par [Peter Bloem](tag:peter_bloem))
 
 2018-06-13 About
 
 Learning to write programs that generate images | DeepMind
 
 Tags:
 
 DeepMind
 Reinforcement learning
 
 This ability to interpret objects through the tools that created them gives us a richer understanding of the world and is an important aspect of our intelligence.
 
 2018-03-28 About
 
 Game-playing software holds lessons for neuroscience : Nature News & Comment
 
 Tags:
 
 DeepMind
 
 2016-01-12 About
 
 How friendly is your AI? It depends on the rewards | Robohub
 
 Tags:
 
 DeepMind
 Multiagent AI
 
 2016-01-09 About
 
 Artificial General Intelligence that plays Atari video games: How did DeepMind do it? | Robohub
 
 Tags:
 
 DeepMind
 Video games
 
 2014-09-26 About
 - Gemini
 
 Jeff Dean (@🏡) sur X : "Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length..."
 
 Tags:
 
 Gemini
 Multimodal Models
 
 2024-02-15 About
 - Google AI Blog
 - Google Brain
 
 Google explores AI's mysterious polytope | ZDNet
 
 Tags:
 
 Abstractions in AI
 AI@Google
 Google Brain
 
 2019-02-09 About
 
 Durk Kingma sur Twitter : about likelihood-based generative models
 
 Tags:
 
 Bayesian Deep Learning
 Google Brain
 Likelihood
 Machine learning
 
 Durk Kingma sur Twitter > "It is my personal belief is that sufficiently powerful likelihood-based generative models will usher in a new era of machine learning, allowing us to tackle important limitations of current machine learning, such as lacking data efficiency and generalization. [7/8]"
 
 2018-12-07 About
 
 Time-Contrastive Networks: Self-Supervised Learning from Video (2017)
 
 Tags:
 
 France is AI 2018
 Google Brain
 Learning by imitation
 Reinforcement learning
 Robotic imitation
 Self-Supervised Learning
 
 Self-supervised approach for learning representations and robotic behaviors entirely from unlabeled videos recorded from multiple viewpoints, and study how this representation can be used in two robotic imitation settings: imitating object interactions from videos of humans, and imitating human poses. > We train our representations using a metric learning loss, where multiple simultaneous viewpoints of the same observation are attracted in the embedding space, while being repelled from temporal neighbors which are often visually similar but functionally different. In other words, the model simultaneously learns to recognize what is common between different-looking images, and what is different between similar-looking images. > This signal causes our model to discover attributes that do not change across viewpoint, but do change across time, while ignoring nuisance variables such as occlusions, motion blur, lighting and background. We demonstrate that this representation can be used by a robot to directly mimic human poses without an explicit correspondence, and that it can be used as a reward function within a reinforcement learning algorithm.
 
 2018-10-27 About
 
 [1703.03129] Learning to Remember Rare Events
 
 Tags:
 
 Arxiv Doc
 Few-shot learning
 Google Brain
 k-nearest neighbors
 Memory in deep learning
 Rare events
 
 > a large-scale life-long memory module for use in deep learning. The module exploits fast nearest-neighbor algorithms for efficiency and thus scales to large memory sizes. Except for the nearest-neighbor query, the module is fully differentiable and trained end-to-end with no extra supervision. It operates in a life-long manner, i.e., without the need to reset it during training. > Our memory module can be easily added to any part of a supervised neural network
 
 2018-10-23 About
 
 Machine Learning for Systems and Systems for Machine Learning (NIPS 2017)
 
 Tags:
 
 Google Brain
 Machine learning
 NIPS 2017
 
 2017-12-12 About
 
 Google's neural networks invent their own encryption | New Scientist
 
 Tags:
 
 Deep Learning
 Encryption
 Google Brain
 
 2016-11-06 About
 - Google car
 
 Google Introduces New Self Driving Car at the Code Conference | Re/code
 
 Tags:
 
 Driverless car
 Google car
 
 2014-05-28 About
 
 Google’s Self-Driving Cars Are Going to Change Everything (Vancouver Data Blog by Neil McGuigan)
 
 Tags:
 
 Google car
 
 2013-09-05 About
 
 Google investit dans le service de taxis Uber
 
 Tags:
 
 Google car
 
 2013-08-26 About
 
 Google’s Driver-less Car and Morality : The New Yorker
 
 Tags:
 
 Asimov
 Driverless car
 Google car
 Moral machines
 New Yorker
 
 “Ethical subroutines” may sound like science fiction, but once upon a time, so did self-driving cars.
 
 2012-11-30 About
 - NLP@Google
 ALBERT
 
 Meet ALBERT: a new ‘Lite BERT’ from Google & Toyota with State of the Art NLP performance and 18x fewer parameters.
 
 Tags:
 
 ALBERT
 BERT
 NLP@Google
 Toyota
 
 2019-10-01 About
 
 Bard
 
 Google announces ChatGPT rival Bard, with wider availability in ‘coming weeks’ - The Verge
 
 Tags:
 
 Bard
 ChatGPT
 Google
 
 2023-02-07 About
 
 BERT
 ALBERT
 BERT + KB
 BLP
 CKB
 
 raphaelsty/ckb: Contextual knowledge bases
 
 Tags:
 
 CKB
 GitHub project
 Raphaël Sourty
 Semanlink Tag Finder
 
 Une implémentation de [BLP](tag:blp) [[2010.03496] Inductive Entity Representations from Text via Link Prediction](doc:2020/11/2010_03496_inductive_entity_r)
 
 2020-11-09 About
 
 Daniel Daza sur Twitter : "BioBLP, a method for learning embeddings on multimodal knowledge graphs...."
 
 Tags:
 
 BLP
 Tweet
 
 2023-06-07 About
 
 [2010.03496] Inductive Entity Representations from Text via Link Prediction
 
 Tags:
 
 Arxiv Doc
 Attention + Knowledge Graphs
 BLP
 Discuté avec Raphaël
 Entity embeddings
 Good
 Link Prediction
 Text-Aware KG embedding
 TheWebConf 2021
 
 BLP "BERT for Link Prediction". Central idea: **training an entity encoder with a link prediction objective** (using the textual descriptions of entities when computing entity representations - hence not failing with entities unknown in training) > a method for **learning representations of entities**, that uses a **pre-trained Transformer** based architecture as an entity encoder, and **link prediction training on a knowledge graph with textual entity descriptions**. > using entity descriptions, an entity encoder is trained for link prediction in a knowledge graph. The encoder can then be used without fine-tuning to obtain features for entity classification and information retrieval Cites [Xie et al](doc:2020/10/representation_learning_of_know) and [Kepler](doc:2020/11/1911_06136_kepler_a_unified_). They claim that their objective targeted exclusively for link prediction (and not an objective that combines language modeling and link prediction as Kepler) performs better than Kepler's more complex one.
 
 2020-11-03 About
 
 KnowBert
 
 [1909.04164] Knowledge Enhanced Contextual Word Representations
 
 Tags:
 
 Allen Institute for AI (AI2)
 Arxiv Doc
 Contextualized word representations
 EMNLP 2019
 Entities and LM
 Good
 Grounded Language Learning
 KD-MKB biblio
 KG-augmented Language Models
 KnowBert
 Knowledge-augmented Language Models
 Knowledge-driven embeddings
 Knowledge Graphs in NLP
 Multiple Knowledge Bases
 
 General method to **embed multiple knowledge bases into pre-trained language models** (KB in the sense as fixed collection of entity nodes) > The key idea is to explicitly model entity spans in the input text and use an **entity linker** to retrieve relevant entity embeddings from a KB to form knowledge enhanced entity-span representations. > Then, update contextual word representations via a form of **word-to-entity attention**. > In contrast to previous approaches, the entity linkers and self-supervised language modeling objective are jointly trained end-to-end in a multitask setting that **combines a small amount of entity linking supervision with a large amount of raw text**.
 
 2020-05-13 About
 
 LUKE
 
 [2110.08151] mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
 
 Tags:
 
 Arxiv Doc
 Entities and LM
 Ikuya Yamada
 LUKE
 Masked entity prediction
 Multilingual NLP
 
 [Ikuya Yamada sur Twitter : "Is entity representation effective to improve multilingual language models?..."](doc:2022/04/ikuya_yamada_sur_twitter_is_) > Recent studies have shown that multilingual pretrained language models can be effectively improved with cross-lingual alignment information from Wikipedia entities. However, **existing methods only exploit entity information in pretraining and do not explicitly use entities in downstream tasks**. In this study, we explore the **effectiveness of leveraging entity representations for downstream cross-lingual tasks**. > > the key insight is that incorporating entity representations into the input allows us to extract more language-agnostic features. [Github](https://github.com/studio-ousia/luke) > Entity representations are known to enhance language models in mono-lingual settings (Zhang et al., 2019: [ERNIE](tag:ernie.html); Peters et al., 2019: [[1909.04164] Knowledge Enhanced Contextual Word Representations](doc:2020/05/1909_04164_knowledge_enhanced); Wang et al., 2021 [[1911.06136] KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation](doc:2020/11/1911_06136_kepler_a_unified_); Xiong et al., 2020; Yamada et al., 2020: [[2010.01057] LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention](doc:2020/11/2010_01057_luke_deep_context)) presumably by introducing real-world knowledge. We show that using entity representations facilitates cross-lingual transfer by providing languageindependent features. > > Multilingual extension of LUKE. The model is trained with the multilingual masked language modeling (MLM) task as well as the masked entity prediction (MEP) task with Wikipedia entity embeddings > We investigate two ways of using the entity representations in cross-lingual transfer tasks: > 1. perform entity linking for the input text, and append the detected entity tokens to the input sequence. The entity tokens are expected to provide language independent features to the model > 2. use the entity [MASK] token from the MEP task as a languageindependent feature extractor.
 
 2022-04-17 About
 
 Ikuya Yamada sur Twitter : "Is entity representation effective to improve multilingual language models?..."
 
 Tags:
 
 Entities and LM
 Ikuya Yamada
 LUKE
 Multilingual Language Models
 Tweet
 
 [[2110.08151] mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models](doc:2022/04/2110_08151_mluke_the_power_o) > mLUKE, an extension of [LUKE](tag:luke) based on 1M Wikidata entity embeddings shared across languages > mLUKE solves downstream tasks by using its language-agnostic entity embeddings as inputs. > entity representations are shared across languages during pretraining -> they are much more language-agnostic than word representations
 
 2022-04-13 About
 
 Studio Ousia sur Twitter : "Now using LUKE is easier than ever!" / Twitter
 
 Tags:
 
 LUKE
 Named Entity Recognition
 Tweet
 
 2022-03-15 About
 
 [2010.01057] LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
 
 Tags:
 
 Arxiv Doc
 BERT + KB
 EMNLP 2020
 Entity embeddings
 Ikuya Yamada
 LUKE
 Self-Attention
 Text-Aware KG embedding
 
 > LUKE is based on bidirectional Transformer, treats words and entities in a text as independent tokens, and outputs contextualized representations of them. The representations can be used to address downstream tasks similarly to BERT. [src](https://twitter.com/ikuyamada/status/1312947499141750786) > LUKE is trained using a novel pretraining task that involves predicting randomly masked words (equivalent to BERT’s masked language model) and entities in an entity-annotated corpus obtained from Wikipedia. (Hum, ça me rappelle quelque chose) > LUKE also uses a new *entity-aware* self-attention mechanism that considers the types of tokens (words or entities) when computing attention scores. [github](https://github.com/studio-ousia/luke), [at Hugging Face](https://twitter.com/AkariAsai/status/1389428550298525696), [doc](https://huggingface.co/transformers/model_doc/luke.html), [tweet](https://twitter.com/ikuyamada/status/1392742990586683392?s=20)
 
 2020-11-26 About
 
 [2205.00820] Entity-aware Transformers for Entity Search
 
 Tags:
 
 Arxiv Doc
 BERT + KB
 Discuté avec Raphaël
 Entities and LM
 Entity Retrieval
 KG-aware low-resource learning
 SIGIR 2022
 
 > **Do BERT-based entity retrieval models benefit from additional entity information stored in knowledge graphs?** To address this research question, we map entity embeddings into the same input space as a pre-trained BERT model and inject these entity embeddings into the BERT model. This entity-enriched language model is then employed on the entity retrieval task. > we observe empirically that the entity-enriched BERT models **enable fine-tuning on limited training data**, which otherwise would not be feasible due to the known instabilities of BERT in few-sample fine-tuning Uses [Wikipedia2Vec](tag:wikipedia2vec) as graph embedding method
 
 2022-07-12 About
 
 [1911.03681] E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT
 
 Tags:
 
 Arxiv Doc
 BERT
 BERT + KB
 Discuté avec Raphaël
 Entity embeddings
 Text, KG and embeddings
 
 > way of **injecting factual knowledge about entities into the pretrained BERT model**. (Feeding entity vectors into BERT as if they were wordpiece vectors without additional encoder pretraining) > > **We align [Wikipedia2Vec](tag:wikipedia2vec) entity vectors (Yamada et al., 2016) with BERT's native wordpiece vector space and use the aligned entity vectors as if they were wordpiece vectors**. The resulting entity-enhanced version of BERT (called E-BERT) is similar in spirit to [ERNIE](tag:ernie) (Zhang et al., 2019) and [KnowBert](tag:knowbert) (Peters et al., 2019), but it **requires no expensive further pretraining of the BERT encoder**. > > Our vector space alignment strategy is inspired by cross-lingual word vector alignment Related work on Entity-enhanced BERT: > ([ERNIE](doc:2019/08/_1905_07129_ernie_enhanced_la) and [Knowbert](doc:2020/05/1909_04164_knowledge_enhanced)) are based on the design principle that BERT be adapted to entity vectors. They introduce new encoder layers to feed pretrained entity vectors into the Transformer, and they require additional pretraining to integrate the new parameters. In contrast, E-BERT’s design principle is that entity vectors be adapted to BERT. > > Two other knowledge-enhanced MLMs are [KEPLER](doc:2020/11/1911_06136_kepler_a_unified_) (Wang et al., 2019c) and K-Adapter (Wang et al., 2020)... Their factual knowledge does not stem from entity vectors – instead, they are trained in a multi-task setting on relation classification and knowledge base completion. Not to be cofounded with [[2009.02835] E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce](doc:2020/12/2009_02835_e_bert_a_phrase_a)
 
 2021-01-12 About
 
 [2009.02835] E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce
 
 Tags:
 
 Arxiv Doc
 Aspect Detection
 BERT + KB
 Domain-Specific BERT
 Product data & NLP
 
 E-BERT, pre-training framework for product data. 1. to benefit from phrase-level knowledge: Adaptive Hybrid Masking, a new masking strategy, which allows the model to adaptively switch from learning preliminary word knowledge to learning complex phrases 2. leveraging product-level knowledge: training E-BERT to predict a product’s associated neighbors (product association) Resources used: - description of millions of products from the amazon dataset (title, description, reviews) - e-commerce phrases: extracted from above dataset using [AutoPhrase](doc:2020/12/autophrase_automated_phrase_mi) - product association graph: pairs of substitutable and complementary products extracted from amazon dataset Not to be confounded with [[1911.03681] E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT](doc:2021/01/1911_03681_e_bert_efficient_)
 
 2020-12-14 About
 
 Supporting content decision makers with machine learning | Dec, 2020 | Netflix TechBlog
 
 Tags:
 
 BERT + KB
 Entity embeddings
 Link Prediction
 Netflix
 Transfer learning
 
 2020-12-11 About
 
 [2010.01057] LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
 
 Tags:
 
 Arxiv Doc
 BERT + KB
 EMNLP 2020
 Entity embeddings
 Ikuya Yamada
 LUKE
 Self-Attention
 Text-Aware KG embedding
 
 > LUKE is based on bidirectional Transformer, treats words and entities in a text as independent tokens, and outputs contextualized representations of them. The representations can be used to address downstream tasks similarly to BERT. [src](https://twitter.com/ikuyamada/status/1312947499141750786) > LUKE is trained using a novel pretraining task that involves predicting randomly masked words (equivalent to BERT’s masked language model) and entities in an entity-annotated corpus obtained from Wikipedia. (Hum, ça me rappelle quelque chose) > LUKE also uses a new *entity-aware* self-attention mechanism that considers the types of tokens (words or entities) when computing attention scores. [github](https://github.com/studio-ousia/luke), [at Hugging Face](https://twitter.com/AkariAsai/status/1389428550298525696), [doc](https://huggingface.co/transformers/model_doc/luke.html), [tweet](https://twitter.com/ikuyamada/status/1392742990586683392?s=20)
 
 2020-11-26 About
 
 Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge (ACL Anthology 2020)
 
 Tags:
 
 ACL 2020
 BERT + KB
 Few-shot learning
 Knowledge Graphs in NLP
 OOV
 Slot filling
 
 Aim to leverage both contextual representation of input text (deep LMs) and knowledge derived from curated KBs ([Wordnet](tag:wordnet)) to improve [slot tagging](tag:slot_tagging) in the presence of [out-of-vocab](tag:oov) words ([few-shot scenario](tag:few_shot_learning)) Method: 1. retrieve potentially relevant KB entities and encode them into distributed representations that describe global graph-structured information 2. BERT encoder layer to capture context-aware representations of the sequence and attend to the KB embeddings using multi-level graph attention 3. integrate BERT embeddings and the KB embeddings to predict the slot type Contributions: 1. feasibility of applying lexical ontology to facilitate recognizing OOV words. First to consider the large-scale background knowledge for enhancing context-aware slot tagging models. 2. a knowledge integration mechanism that uses multi-level graph attention to model explicit lexical relations. 3.experiments on two benchmark datasets > our method makes a notable difference in a scenario where samples are linguistically diverse, and large vocab exists. (Better improvements when using RNN than BERT, because BERT already contains a lot of background knowledge)
 
 2020-07-04 About
 
 BERT + Sentence Embeddings
 Sentence-BERT
 sBERT fine-tuning
 SetFit (SBERT fine-tuning)
 
 UKP Lab sur X : "a lightweight solution for few-shot domain-specific sentence classification: AdaSent!..."
 
 Tags:
 
 Adapter modules (LM finetuning)
 EMNLP 2023
 Few-shot text classification
 Sentence-BERT: Domain adaptation
 Sentence embeddings: Domain adaptation
 SetFit (SBERT fine-tuning)
 Tweet
 
 AdaSent is an approach to creating domain-specialized sentence encoders for few-shot sentence classification > Reusable general sentence adapter across domains > AdaSent decouples DAPT (Domain Adaptative Pre-Training) & SEPT (Sentence Embedding Pre-Training) **by storing the sentence encoding abilities into an adapter**, which is trained only once in the general domain and plugged into various DAPT-ed PLMs [Github](https://github.com/UKPLab/AdaSent)
 
 2023-12-09 About
 
 Daniel Vila Suero sur Twitter : "Data quality is key for LLMs, but we're building Open Source LLMs with data of "unknown" quality... Introducing Alpaca GarbageCollector..."
 
 Tags:
 
 Alpaca
 Dataset quality
 SetFit (SBERT fine-tuning)
 Tweet
 
 > a cross-lingual SetFit model to identify potential bad instructions in Alpaca-like datasets
 
 2023-04-05 About
 
 ValueError "invalid literal for int() with base 10" in trainer.evaluate (dataset created from pandas) · Issue #228 · huggingface/setfit
 
 Tags:
 
 fps' post
 SetFit (SBERT fine-tuning)
 
 see <https://github.com/huggingface/setfit/blob/main/notebooks/zero-shot-classification.ipynb> > Note: some datasets on the Hugging Face Hub don't have a ClassLabel feature for the label column. In these cases, you should compute the candidate labels manually by first computing the id2label mapping as follows:
 
 2022-12-13 About
 
 Lewis Tunstall sur Twitter : "The SetFit library for few-shot learning with Sentence Transformers now supports *multi-label text classification*..."
 
 Tags:
 
 Multi-label Text classification
 SetFit (SBERT fine-tuning)
 Tweet
 
 Multilabel support [github issue](https://github.com/huggingface/setfit/issues/65)
 
 2022-10-14 About
 
 huggingface/setfit: Efficient few-shot learning with Sentence Transformers
 
 Tags:
 
 GitHub project
 SetFit (SBERT fine-tuning)
 
 2022-10-12 About
 
 [2209.11055] Efficient Few-Shot Learning Without Prompts
 
 Tags:
 
 Arxiv Doc
 Few-shot learning
 Moshe Wasserblat
 Nils Reimers
 SetFit (SBERT fine-tuning)
 
 [tweet](https://twitter.com/_akhaliq/status/1573109469646561280?s=20&t=RTpK9dh90az0zT1Xg2ohpQ): > So if I have 4 classes and say 2 labels per class, I would first fine tune an ST on these 4 pairs and then vectorize the 8 total examples for fine-tuning the classifier
 
 2022-09-23 About
 
 Sentence Transformer Fine-Tuning (SetFit): Outperforming GPT-3 on few-shot Text-Classification while being 1600 times smaller | by Moshe Wasserblat (2021-12)
 
 Tags:
 
 Few-shot text classification
 Moshe Wasserblat
 sBERT fine-tuning
 SetFit (SBERT fine-tuning)
 
 Finetuning d'un SBERT sur une tâche de classification (in fine, produit un SBERT) > **Few-shot text classification based on fine-tuning a Sentence Transformer with task-specific data** that can easily be implemented with the sentence-transformers library > Surprisingly, we did not find any work that performed an end-to-end ST fine-tuning for text classification in a Siamese manner. [COLAB](https://colab.research.google.com/github/MosheWasserb/SetFit/blob/main/SetFit_SST_2.ipynb) [Nils Reimers sur Twitter](doc:2022/03/nils_reimers_sur_twitter_gre)
 
 2022-03-31 About
 
 Nils Reimers sur Twitter : "Great post on SetFit"
 
 Tags:
 
 Nils Reimers
 SetFit (SBERT fine-tuning)
 Tweet
 
 About [Sentence Transformer Fine-Tuning (SetFit): Outperforming GPT-3 on few-shot Text-Classification while being 1600 times smaller | by Moshe Wasserblat](doc:2022/03/sentence_transformer_fine_tunin) > - Outperforms GPT-3 in few-shot text-classification (50 labeled examples, secret test set) > - 1600 times smaller > - Can be run on your CPU > - No limitation on the number of training examples > - Just few lines of code needed
 
 2022-03-31 About
 
 LlamaIndex 🦙 sur X : "Fine-tuning Embedding Models for RAG with LoRA'
 
 Tags:
 
 LlamaIndex
 LoRA
 sBERT fine-tuning
 
 2024-04-23 About
 
 [2008.11228] A simple method for domain adaptation of sentence embeddings
 
 Tags:
 
 Arxiv Doc
 Domain adaptation (NLP)
 sBERT fine-tuning
 Sentence-BERT: Domain adaptation
 Universal Sentence Encoder
 
 2022-04-01 About
 
 [2004.05119] Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer
 
 Tags:
 
 ACL 2020
 Arxiv Doc
 Low-Resource NLP
 NLP@Amazon
 NLP@Microsoft
 sBERT fine-tuning
 
 > Fine-tuning (FT) pre-trained sentence embedding models on small datasets has been shown to have limitations. In this paper we show that concatenating the embeddings from the pre-trained model with those from a simple sentence embedding model trained only on the target data, can improve over the performance of FT for few-sample tasks
 
 2022-03-31 About
 
 Sentence Transformer Fine-Tuning (SetFit): Outperforming GPT-3 on few-shot Text-Classification while being 1600 times smaller | by Moshe Wasserblat (2021-12)
 
 Tags:
 
 Few-shot text classification
 Moshe Wasserblat
 sBERT fine-tuning
 SetFit (SBERT fine-tuning)
 
 Finetuning d'un SBERT sur une tâche de classification (in fine, produit un SBERT) > **Few-shot text classification based on fine-tuning a Sentence Transformer with task-specific data** that can easily be implemented with the sentence-transformers library > Surprisingly, we did not find any work that performed an end-to-end ST fine-tuning for text classification in a Siamese manner. [COLAB](https://colab.research.google.com/github/MosheWasserb/SetFit/blob/main/SetFit_SST_2.ipynb) [Nils Reimers sur Twitter](doc:2022/03/nils_reimers_sur_twitter_gre)
 
 2022-03-31 About
 
 Sentence Embedding Fine-tuning for the French Language | by La Javaness R&D | Feb, 2022 | Medium
 
 Tags:
 
 CamemBERT
 NLP: French
 NLP sample code
 sBERT fine-tuning
 
 2022-03-31 About
 
 [2203.14655] Few-Shot Learning with Siamese Networks and Label Tuning
 
 Tags:
 
 Arxiv Doc
 Few-shot text classification
 sBERT fine-tuning
 Sentence-BERT
 Siamese networks
 
 > the problem of building text classifiers with little or no training data. > > In recent years, an approach based on neural textual entailment models has been found to give strong results on a diverse range of tasks. (cf. #[NLI](tag:nli), using the input text as the premise and the text representing the label as the hypothesis) > In this work, we show that **with proper pre-training, Siamese Networks that embed texts and labels** offer a competitive alternative. > > We introduce **label tuning: fine-tuning the label embeddings only**. While giving lower performance than model fine-tuning (which updates all params of the model), this approach has the architectural advantage that a single encoder can be shared by many different tasks (we only fine-tune the label embeddings) > The drop in quality can be compensated by using a variant of **[Knowledge distillation](tag:knowledge_distillation)** [Github](https://tinyurl.com/label-tuning), [Tweet](doc:2022/03/thomas_muller_sur_twitter_pa)
 
 2022-03-30 About
 
 Sentence-BERT: Domain adaptation
 GPL (Generative Pseudo Labeling)
 
 Domain Adaptation with Generative Pseudo-Labeling (GPL) | Pinecone
 
 Tags:
 
 GPL (Generative Pseudo Labeling)
 Pinecone
 
 2023-04-09 About
 
 [2205.11498] Domain Adaptation for Memory-Efficient Dense Retrieval
 
 Tags:
 
 Arxiv Doc
 Dense retriever
 Domain adaptation
 GPL (Generative Pseudo Labeling)
 Nils Reimers
 
 Refers to [Binary Passage Retriever (BPR)](doc:2021/06/2106_00882_efficient_passage_)
 
 2022-09-26 About
 
 Domain transfer with GGPL: German Generative Pseudo Labeling 🥨 | by Matthias Richter | Jun, 2022 | ML6team
 
 Tags:
 
 GPL (Generative Pseudo Labeling)
 Multilingual NLP
 
 2022-06-02 About
 
 Nils Reimers sur Twitter : "GPL goes multi-lingual..."
 
 Tags:
 
 GPL (Generative Pseudo Labeling)
 Nils Reimers
 Tweet
 
 [Domain transfer with GGPL: German Generative Pseudo Labeling](doc:2022/06/domain_transfer_with_ggpl_germ)
 
 2022-06-01 About
 
 Ramsri Goutham Golla sur Twitter : "Hi @Nils_Reimers For GPL you used "msmarco-distilbert-base-tas-b" model and ..."
 
 Tags:
 
 GPL (Generative Pseudo Labeling)
 Nils Reimers
 Tweet
 
 2022-04-27 About
 
 Domain Adaptation — Sentence-Transformers documentation
 
 Tags:
 
 Documentation
 Domain adaptation (NLP)
 GPL (Generative Pseudo Labeling)
 Sentence-BERT: Domain adaptation
 TSDAE
 
 2022-03-31 About
 
 NAVER LABS Europe : "@Nils_Reimers of @huggingface on 'Unsupervised domain adaptation for neural search'"
 
 Tags:
 
 GPL (Generative Pseudo Labeling)
 J'y étais
 Neural Search
 Nils Reimers
 Unsupervised Domain Adaptation (NLP)
 
 2022-03-09 About
 
 [2112.07577] GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval
 
 Tags:
 
 Arxiv Doc
 Dense Passage Retrieval
 GPL (Generative Pseudo Labeling)
 Nils Reimers
 Synthetic QA data
 Unsupervised Domain Adaptation (NLP)
 
 An unsupervised domain adaptation technique for dense retrieval models 1. synthetic queries are generated for each passage from the target corpus (using an existing pre-trained [T5](tag:text_to_text_transfer_transformer) encoder-decoder) 2. the generated queries are used for mining negative passages (retrieving the most similar paragraphs using an existing dense retrieval model == hard negatives!) 3. the query-passage pairs are labeled by a cross-encoder and used to train the domain-adapted dense retriever (using method described in [Hofstätter et al., 2020](doc:2021/12/2010_02666_improving_efficien)) [Nils Reimers sur Twitter](doc:2021/12/nils_reimers_sur_twitter_do_), [GitHub](https://github.com/UKPLab/gpl), by the author of [TSDAE](doc:2021/09/2104_06979_tsdae_using_trans) Claims to improve "Doc2Query" [Document Expansion by Query Prediction](doc:2022/01/1904_08375_document_expansion): ([src](https://twitter.com/KexinWang2049/status/1471435779415150598)) > - GPL: Uses doc2query to construct synthetic data and does knowledge distillation (i.e. training) on that data. > - Doc2query: Generates queries to extend the documents and use BM25 on top of them w/o training.
 
 2021-12-15 About
 
 sBERT fine-tuning
 
 UKP Lab sur X : "a lightweight solution for few-shot domain-specific sentence classification: AdaSent!..."
 
 Tags:
 
 Adapter modules (LM finetuning)
 EMNLP 2023
 Few-shot text classification
 Sentence-BERT: Domain adaptation
 Sentence embeddings: Domain adaptation
 SetFit (SBERT fine-tuning)
 Tweet
 
 AdaSent is an approach to creating domain-specialized sentence encoders for few-shot sentence classification > Reusable general sentence adapter across domains > AdaSent decouples DAPT (Domain Adaptative Pre-Training) & SEPT (Sentence Embedding Pre-Training) **by storing the sentence encoding abilities into an adapter**, which is trained only once in the general domain and plugged into various DAPT-ed PLMs [Github](https://github.com/UKPLab/AdaSent)
 
 2023-12-09 About
 
 [2008.11228] A simple method for domain adaptation of sentence embeddings
 
 Tags:
 
 Arxiv Doc
 Domain adaptation (NLP)
 sBERT fine-tuning
 Sentence-BERT: Domain adaptation
 Universal Sentence Encoder
 
 2022-04-01 About
 
 Domain Adaptation — Sentence-Transformers documentation
 
 Tags:
 
 Documentation
 Domain adaptation (NLP)
 GPL (Generative Pseudo Labeling)
 Sentence-BERT: Domain adaptation
 TSDAE
 
 2022-03-31 About
 
 Unsupervised Training for Sentence Transformers | Pinecone
 
 Tags:
 
 Pinecone
 Sentence-BERT: Domain adaptation
 TSDAE
 Unsupervised Sentence Embedding Learning
 
 Blog post about [[2104.06979] TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning](doc:2021/09/2104_06979_tsdae_using_trans) > Fine-tuning with TSDAE simply cannot compete in terms of performance against supervised methods. However, **the point and value of TSDAE is that it allows us to fine-tune models for use-cases where we have no data**. Specific domains with unique terminology or low resource languages.
 
 2021-11-24 About
 
 SentenceBERT and Words
 
 Few-Shot Text Classification (Cloudera 2020)
 
 Tags:
 
 Few-shot text classification
 SentenceBERT and Words
 
 > Sentence-BERT has been optimized… well, for sentences! It’s reasonable to suspect that SBERT’s representations of single words or short phrases like “Business” or “Science & Technology” won’t be as semantically relevant as representations derived from a word-level method, like word2vec or GloVe
 
 2022-11-24 About
 
 skeskinen/bert.cpp: ggml implementation of BERT
 
 Tags:
 
 .cpp
 BERT
 Frugal LLMs
 Quantization
 Sentence-BERT
 Sentence Embeddings
 
 > ggml inference of BERT neural net architecture with pooling and normalization from SentenceTransformers (sbert.net). High quality sentence embeddings in pure C++ (with C API). > > The main goal of bert.cpp is to run the BERT model using **4-bit integer quantization on CPU**
 
 2023-05-09 About
 
 Multilingual Sentence Transformers | Pinecone
 
 Tags:
 
 Multilingual embeddings
 Pinecone
 Sentence-BERT
 
 Focus on **Multilingual Knowledge Distillation** > recent method introduced by Nils Reimers and Iryna Gurevych in 2020 > The teacher model is an already fine-tuned sentence transformer used for creating embeddings in a single language (most likely English). The student model is a transformer that has been pretrained on a multilingual corpus.
 
 2023-01-13 About
 
 Unsupervised Learning — Sentence-Transformers documentation
 
 Tags:
 
 Sentence-BERT
 TSDAE
 Unsupervised Sentence Embedding Learning
 
 > In our paper TSDAE we compare approaches for sentence embedding tasks, and in GPL we compare them for semantic search tasks (given a query, find relevant passages). While the unsupervised approach achieve acceptable performances for sentence embedding tasks, they perform poorly for semantic search tasks.
 
 2022-08-20 About
 
 Train and Fine-Tune Sentence Transformers Models
 
 Tags:
 
 Sentence-BERT
 
 2022-08-13 About
 
 sentence bert model in onnx format · Issue #46 · UKPLab/sentence-transformers
 
 Tags:
 
 ONNX
 Raphaël Sourty
 Sentence-BERT
 
 2022-06-13 About
 
 [2205.15952] Knowledge Graph -- Deep Learning: A Case Study in Question Answering in Aviation Safety Domain
 
 Tags:
 
 Arxiv Doc
 Knowledge Graph + Deep Learning
 Question Answering
 Sentence-BERT
 
 2022-06-11 About
 
 [2205.04260] EASE: Entity-Aware Contrastive Learning of Sentence Embedding
 
 Tags:
 
 Arxiv Doc
 Contrastive Learning
 Entities
 Entities and LM
 Entity type
 Ikuya Yamada
 Sentence-BERT
 Sentence Embeddings
 
 > we explore a type of supervision that has been under-explored in the literature: entity hyperlink annotations from Wikipedia. > > entities have been shown to be a strong indicator of text semantics > > a method for mining hard negatives based on the entity type Uses wikipedia2vec > the reliance on Wikipedia for training data may limit the application of the models to specific domains (e.g., general or encyclopedia domains). To apply EASE to other domains, one may need to annotate text from the domain either manually or automatically.
 
 2022-05-11 About
 
 [2203.14655] Few-Shot Learning with Siamese Networks and Label Tuning
 
 Tags:
 
 Arxiv Doc
 Few-shot text classification
 sBERT fine-tuning
 Sentence-BERT
 Siamese networks
 
 > the problem of building text classifiers with little or no training data. > > In recent years, an approach based on neural textual entailment models has been found to give strong results on a diverse range of tasks. (cf. #[NLI](tag:nli), using the input text as the premise and the text representing the label as the hypothesis) > In this work, we show that **with proper pre-training, Siamese Networks that embed texts and labels** offer a competitive alternative. > > We introduce **label tuning: fine-tuning the label embeddings only**. While giving lower performance than model fine-tuning (which updates all params of the model), this approach has the architectural advantage that a single encoder can be shared by many different tasks (we only fine-tune the label embeddings) > The drop in quality can be compensated by using a variant of **[Knowledge distillation](tag:knowledge_distillation)** [Github](https://tinyurl.com/label-tuning), [Tweet](doc:2022/03/thomas_muller_sur_twitter_pa)
 
 2022-03-30 About
 
 Document Matching for Job Descriptions | Semantic Scholar (2021)
 
 Tags:
 
 NLP@Stanford
 NLP + Human Resources
 Sentence-BERT
 
 > We train a document encoder to match online job descriptions to one of many standardized job roles from Singapore’s Skills Framework. The encoder generates semantically meaningful document encodings from textual descriptions of job roles, which are then compared using Cosine Similarity to determine matching. During training, we implement the methodology used by Sentence-BERT, fine tuning pre-trained BERT models using a siamese network architecture on labelled document pairs.
 
 2022-03-09 About
 
 Nils Reimers sur Twitter : "Creating intent classes for chatbots is challenging This tutorial shows how to use sentence-transformers to find potentially overlapping intent classes and how to improve your data annotation work." / Twitter
 
 Tags:
 
 Annotations (ML)
 Chatbots
 Nils Reimers
 Sentence-BERT
 Spectral clustering
 Tutorial
 Tweet
 
 2022-02-19 About
 
 Nils Reimers sur Twitter : "how to use the fast clustering algorithm from sentence-transformers..."
 
 Tags:
 
 Nils Reimers
 Sentence-BERT
 Short Text Clustering
 Tweet
 
 Clustering millions of sentences to optimize the ML-workflow
 
 2022-02-19 About
 
 sentence-transformers/fast_clustering.py at master · UKPLab/sentence-transformers
 
 Tags:
 
 Clustering
 Nils Reimers
 Sentence-BERT
 
 > This is a more complex example on performing clustering on large scale dataset. This examples find in a large set of sentences local communities, i.e., groups of sentences that are highly similar. You can freely configure the threshold what is considered as similar. A high threshold will only find extremely similar sentences, a lower threshold will find more sentence that are less similar. A second parameter is 'min_community_size': Only communities with at least a certain number of sentences will be returned. The method for finding the communities is extremely fast, for clustering 50k sentences it requires only 5 seconds (plus embedding comuptation). In this example, we download a large set of questions from Quora and then find similar questions in this set.
 
 2022-02-18 About
 
 gsarti/scibert-nli · Hugging Face
 
 Tags:
 
 Hugging Face
 NLP for scientific documents
 Sentence-BERT
 
 SciBERT fine-tuned on the SNLI and the MultiNLI datasets using the sentence-transformers library to produce universal sentence embeddings
 
 2022-01-29 About
 
 Semantic Search — Sentence-Transformers documentation
 
 Tags:
 
 Documentation
 Semantic Search
 Sentence-BERT
 
 **symmetric** semantic search vs **asymmetric** semantic search > - Suitable models for symmetric semantic search: Pre-Trained Sentence Embedding > - Suitable models for asymmetric semantic search: Pre-Trained MS MARCO Models
 
 2022-01-29 About
 
 Using pretrained SBERT model in cross-encoder · Issue #726 · UKPLab/sentence-transformers
 
 Tags:
 
 Cross-Encoders
 Sentence-BERT
 
 > so would it be a good idea to finetune a SBERT model on a cross-encoder task? > > The SBERT models are regular transformers model and hence can be used as base for cross encoders. Sometimes it could be helpful, otherwise it is better to use the original models. ([Nils Reimers](tag:nils_reimers))
 
 2021-12-17 About
 
 Advance BERT model via transferring knowledge from Cross-Encoders to Bi-Encoders | by Chien Vu | Towards Data Science
 
 Tags:
 
 BERT
 Cross-Encoders
 Data Augmentation
 Sentence-BERT
 Sentence Similarity
 
 Data Augmentation Method to improve SBERT Bi-Encoders for Pairwise Sentence Scoring Tasks (Semantic sentence tasks)
 
 2021-12-17 About
 
 Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine
 
 Tags:
 
 Semantic Search
 Sentence-BERT
 Similarity queries / Vector search
 Weaviate
 Wikipedia
 
 2021-12-05 About
 
 Unsupervised_Extractive_Summarization - a Hugging Face Space by Hellisotherpeople
 
 Tags:
 
 Extractive Text Summarization
 GitHub project
 Sentence-BERT
 
 Unsupervised Extractive Text Summarization and Semantic Search [Github](https://github.com/Hellisotherpeople/CX_DB8)
 
 2021-12-03 About
 
 How to Fine-Tune Sentence-BERT for Question Answering | Capital One
 
 Tags:
 
 Question Answering
 Sentence-BERT
 Tutorial
 
 > tutorial on using the sentence-transformers library to fine-tune Sentence-BERT for question matching
 
 2021-11-21 About
 
 Multilingual Sentence Transformers | Pinecone
 
 Tags:
 
 Knowledge distillation
 Multilingual Language Models
 Pinecone
 Sentence-BERT
 Transformers
 
 How to make a text encoder multilingual using sentence transformers and multilingual knowledge distillation.
 
 2021-11-04 About
 
 Next-Gen Sentence Embeddings with Multiple Negatives Ranking Loss | Pinecone
 
 Tags:
 
 Multiple negatives ranking (MNR) loss
 Pinecone
 Sentence-BERT
 Sentence Embeddings
 
 > the world of sentence embeddings was ignited with the introduction of SBERT in 2019. Since then, many more sentence transformers have been introduced. These models quickly made the original SBERT obsolete. How did these newer sentence transformers manage to outperform SBERT so quickly? The answer is **multiple negatives ranking (MNR) loss**. > In short; **fine-tune your models with MNR loss, and do it with the [sentence-transformers](tag:sbert) library**. (mentionned in a [tweet](https://twitter.com/Nils_Reimers/status/1453001422400856086) by [Nils Reimers](tag:nils_reimers))
 
 2021-10-27 About
 
 Sentence Embeddings and Transformers | Pinecone
 
 Tags:
 
 Pinecone
 Sentence-BERT
 
 2021-10-23 About
 
 Sahajtomar/french_semantic · Hugging Face
 
 Tags:
 
 CamemBERT
 Discuté avec Raphaël
 huggingface / transformers
 NLP: French
 Sentence-BERT
 
 2021-10-14 About
 
 Semantic Search with S-BERT is all you need
 
 Tags:
 
 Howto
 Semantic Search
 Sentence-BERT
 
 > SentenceTransformers is designed in such way that fine-tuning your own sentence / text embeddings models is easy.
 
 2021-06-05 About
 
 Nils Reimers sur Twitter : "SBERT Release v1.1.0"
 
 Tags:
 
 Nils Reimers
 Sentence-BERT
 Tweet
 
 2021-04-22 About
 
 Nils Reimers sur Twitter : "New models for Neural Information Retrieval..."
 
 Tags:
 
 Information retrieval
 Nils Reimers
 Sentence-BERT
 Tweet
 
 2021-04-17 About
 
 SentenceTransformers Documentation
 
 Tags:
 
 Documentation
 Sentence-BERT
 
 2021-03-25 About
 
 Zero-Shot Learning in Modern NLP | Joe Davison Blog (2020-05)
 
 Tags:
 
 Hugging Face
 Natural Language Inference
 Sentence-BERT
 Text Classification
 Zero-Shot Learning
 Zero-shot Text Classifier
 
 > state-of-the-art NLP models for sequence classification without large annotated training sets. Simple idea: use a single model (eg. [Sentence-BERT](tag:sbert)) to embed both the text data and the class names into the same space. Pb: Sentence-BERT is designed to learn effective sentence-level, not single- or multi-word representations like our class names -> the label embeddings may not be as semantically salient as word-level embedding methods (i.e. word2vec). Solution 1: Learn a projection from sentence level embeddings of words to word2vec embeddings, use it for encoding when learning classifier. Can be adapted to few short learning Solution 2: "Classification as [#Natural Language Inference](tag:nli)". > A method which not only embeds sequences and labels into the same latent space where their distance can be measured, but that can actually tell us something about the compatibility of two distinct sequences out of the box.
 
 2021-02-23 About
 
 UKPLab/sentence-transformers: Sentence Embeddings with BERT & XLNet
 
 Tags:
 
 GitHub project
 huggingface / transformers
 Sentence-BERT
 XLNet
 
 [paper](doc:2019/08/_1908_10084_sentence_bert_sen)
 
 2020-07-14 About
 
 Richer Sentence Embeddings using Sentence-BERT — Part I
 
 Tags:
 
 Sentence-BERT
 
 Simplistic (and often used) methods for sentence embeddings with BERT are too simplistic to be good (avearaging the word vectors, or using the \[CLS\] special vector (start of sequence). [About this paper](/doc/2019/08/_1908_10084_sentence_bert_sen)
 
 2020-01-06 About
 
 [1908.10084] Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
 
 Tags:
 
 Arxiv Doc
 EMNLP 2019
 huggingface / transformers
 Nearest neighbor search
 Sentence-BERT
 Sentence Similarity
 Siamese networks
 
 > Sentence-BERT (SBERT), a modification of the pretrained BERT network that use siamese and triplet network structures to derive **semantically meaningful sentence embeddings** that can be compared using cosine-similarity. Important because - BERT ist unsuitable for semantic similarity search as well as for unsupervised tasks like clustering. - simple methods such as using the CLS token give low quality sentence embeddings However, the purpose of SBERT sentence embeddings are **not to be used for transfer learning for other tasks**. [Related blog post](/doc/2020/01/richer_sentence_embeddings_usin); [Github](https://github.com/UKPLab/sentence-transformers)
 
 2019-08-28 About
 
 PromptBERT improving BERT sentence embeddings with prompts - Ethan Kim
 
 Tags:
 
 BERT + Sentence Embeddings
 
 2022-09-16 About
 
 [2201.04337] PromptBERT: Improving BERT Sentence Embeddings with Prompts
 
 Tags:
 
 Arxiv Doc
 BERT + Sentence Embeddings
 Prompting/In-context learning
 
 [PromptBERT improving BERT sentence embeddings with prompts - Ethan Kim](doc:2022/09/promptbert_improving_bert_sente)
 
 2022-09-16 About
 
 [2011.05864] On the Sentence Embeddings from Pre-trained Language Models
 
 Tags:
 
 Anisotropy in LM space
 Arxiv Doc
 BERT + Sentence Embeddings
 EMNLP 2020
 
 > **the sentence embeddings from the pre-trained language models without fine-tuning have been found to poorly capture semantic meaning of sentences.** > > We find that **BERT always induces a non-smooth anisotropic semantic space of sentences**, which harms its performance of semantic similarity. To address this issue, we propose to transform the anisotropic sentence embedding distribution to a smooth and isotropic Gaussian distribution through normalizing flows that are learned with an unsupervised objective > normalizing flows (Dinh et al., 2015): invertible function parameterized by neural networks. > **During training, only the flow network is optimized while the BERT parameters remain unchanged** > When combined with external supervision from natural language inference tasks (Bowman et al., 2015; Williams et al., 2018), our method outperforms the [Sentence-BERT](tag:sbert) embeddings [GitHub](https://github.com/bohanli/BERT-flow)
 
 2021-04-19 About
 
 SimCSE: Simple Contrastive Learning of Sentence Embeddings
 
 Tags:
 
 BERT + Sentence Embeddings
 Contrastive Learning
 Sentence Embeddings
 
 (by one of the authors of [KEPLER](doc:2020/11/1911_06136_kepler_a_unified_)) a contrastive sentence embedding framework, which can be used to produce sentence embeddings, from either unlabeled or labeled data. > 1. **an unsupervised approach, which takes an input sentence and predicts itself in a contrastive objective, with only standard dropout** used as noise > 2. we draw inspiration from the recent success of learning sentence embeddings from natural language inference (NLI) datasets and incorporate annotated pairs from NLI datasets into contrastive learning by using “entailment” pairs as positives and “contradiction” pairs as hard negatives Cites [[2011.05864] On the Sentence Embeddings from Pre-trained Language Models](doc:2021/04/2011_05864_on_the_sentence_em) (question of the anisotropic semantic space of BERT's sentences)
 
 2021-04-18 About
 
 How to use BERT for finding similar sentences or similar news? · Issue #876 · huggingface/transformers
 
 Tags:
 
 BERT + Sentence Embeddings
 huggingface / transformers
 
 links to [UKPLab/sentence-transformers](doc:2020/07/ukplab_sentence_transformers_s) [Another answer](https://github.com/huggingface/transformers/issues/2986)
 
 2020-07-12 About
 
 BERT-based entity linking
 
 [1911.03814] Scalable Zero-shot Entity Linking with Dense Entity Retrieval
 
 Tags:
 
 Arxiv Doc
 BERT-based entity linking
 BLINK
 Entity Retrieval
 NLP@Facebook
 Retriever-Reader
 Zero-shot Entity Linking
 
 > a two stage approach, based on fine-tuned BERT architectures. In the first stage, we do retrieval in a dense space defined by a bi-encoder that independently embeds the mention context and the entity descriptions (Humeau et al., 2019; Gillick et al., 2019). Each retrieved candidate is then examined more carefully with a cross-encoder that concatenates the mention and entity text,
 
 2020-05-02 About
 
 BERT fine-tuning
 BERT fine-tuning: instabilities
 
 On Stability of Few-Sample Transformer Fine-Tuning | Kaggle
 
 Tags:
 
 BERT fine-tuning: instabilities
 Fine-tuning
 Kaggle
 
 [[2006.05987] Revisiting Few-sample BERT Fine-tuning](doc:2022/03/2006_05987_revisiting_few_sam)
 
 2022-08-29 About
 
 [2006.05987] Revisiting Few-sample BERT Fine-tuning
 
 Tags:
 
 ADAM (ML)
 Arxiv Doc
 BERT fine-tuning
 BERT fine-tuning: instabilities
 NLP@Stanford
 
 > A study of fine-tuning of BERT contextual representations, with focus on commonly observed instabilities in few-sample scenarios. > The most commonly used optimizer for fine-tuning BERT is BERTADAM, a modified version of the ADAM first-order stochastic optimization method. It differs from the original ADAM algorithm (Kingma & Ba, 2014) in omitting a bias correction step. > > ... We observe that the bias correction omission influences the learning rate, especially early in the fine-tuning process, and is one of the primary reasons for instability in fine-tuning BERT and this is bad when finetuning with less than 10K samples. Pb included in many > open source libraries, including the official implementation huggingface’s Transformers How to solve pb in HuggingFace? > HuggingFace Transformers AdamW has correct_bias parameter set to True by default. Still it's worth noting the importance this parameter serves. [src](doc:2022/08/on_stability_of_few_sample_tran)
 
 2022-03-21 About
 
 On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines (2021)
 
 Tags:
 
 BERT fine-tuning
 BERT fine-tuning: instabilities
 Catastrophic forgetting
 Vanishing gradient
 
 > **an analysis of the fine-tuning instability of BERT-based models and a simple method to fix it** > > Despite the strong empirical performance of fine-tuned models, fine-tuning is an unstable process: training the same model with multiple random seeds can result in a large variance of the task performance. > > 2 potential reasons identified in (Devlin et al., 2019; Lee et al., 2020; Dodge et al., 2020) : > - catastrophic forgetting > - small size of the fine-tuning datasets. > > we show that both hypotheses fail to explain the fine-tuning instability, which is caused by optimization difficulties / **vanishing gradients**). > > A simple but strong baseline that makes fine-tuning BERT-based models significantly more stable than the previously proposed approaches. > > [Github](https://github.com/uds-lsv/bert-stable-fine-tuning)
 
 2021-10-30 About
 
 [2106.10199] BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
 
 Tags:
 
 Allen Institute for AI (AI2)
 Arxiv Doc
 BERT fine-tuning
 Parameter-efficient fine-tuning (PEFT)
 Yoav Goldberg
 
 > BitFit, a sparse-finetuning method where only the bias-terms of the model (or a subset of them) are being modified. We show that **with small-to-medium training data, applying BitFit on pre-trained BERT models is competitive with (and sometimes better than) fine-tuning the entire model.** > **these findings support the hypothesis that finetuning is mainly about exposing knowledge induced by language-modeling training, rather than learning new task-specific linguistic knowledge** -- ???!!! > The focus on modifying a small group of parameters eases deployment, as the vast majority of the parameters of the model are shared between various NLP tasks [GitHub](https://github.com/benzakenelad/BitFit)
 
 2022-09-01 About
 
 [2006.05987] Revisiting Few-sample BERT Fine-tuning
 
 Tags:
 
 ADAM (ML)
 Arxiv Doc
 BERT fine-tuning
 BERT fine-tuning: instabilities
 NLP@Stanford
 
 > A study of fine-tuning of BERT contextual representations, with focus on commonly observed instabilities in few-sample scenarios. > The most commonly used optimizer for fine-tuning BERT is BERTADAM, a modified version of the ADAM first-order stochastic optimization method. It differs from the original ADAM algorithm (Kingma & Ba, 2014) in omitting a bias correction step. > > ... We observe that the bias correction omission influences the learning rate, especially early in the fine-tuning process, and is one of the primary reasons for instability in fine-tuning BERT and this is bad when finetuning with less than 10K samples. Pb included in many > open source libraries, including the official implementation huggingface’s Transformers How to solve pb in HuggingFace? > HuggingFace Transformers AdamW has correct_bias parameter set to True by default. Still it's worth noting the importance this parameter serves. [src](doc:2022/08/on_stability_of_few_sample_tran)
 
 2022-03-21 About
 
 On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines (2021)
 
 Tags:
 
 BERT fine-tuning
 BERT fine-tuning: instabilities
 Catastrophic forgetting
 Vanishing gradient
 
 > **an analysis of the fine-tuning instability of BERT-based models and a simple method to fix it** > > Despite the strong empirical performance of fine-tuned models, fine-tuning is an unstable process: training the same model with multiple random seeds can result in a large variance of the task performance. > > 2 potential reasons identified in (Devlin et al., 2019; Lee et al., 2020; Dodge et al., 2020) : > - catastrophic forgetting > - small size of the fine-tuning datasets. > > we show that both hypotheses fail to explain the fine-tuning instability, which is caused by optimization difficulties / **vanishing gradients**). > > A simple but strong baseline that makes fine-tuning BERT-based models significantly more stable than the previously proposed approaches. > > [Github](https://github.com/uds-lsv/bert-stable-fine-tuning)
 
 2021-10-30 About
 
 Bertology
 
 Unveiling Transformers with LEGO - YouTube
 
 Tags:
 
 Bertology
 Emergence (AI)
 LM: reasonning
 Reasoning
 Sebastien Bubeck
 Transformers
 Transformers explained
 YouTube video
 
 > To me, what's good about transformers is that they have relative filters. I mean **a standard NN tests an input against a fixed filter w, but here we test part of x against another part of x**. (#[Self-Attention](tag:self_attention)) > > This potentially allows for reasonning to emerge: the network can associate concepts that it encounters, compare them, make analogies > LEGO: Learning Equality and Group Operations. It's a very **basic reasoning task**, where a sentence is made of clauses defining variables as a function of some other variable, and the goal is to **resolve the value of the variables**.
 
 2022-06-30 About
 
 Chris Olah sur Twitter : "I'm excited to *finally* be making progress on understanding the first MLP layer in large transformer LMs. I've tried really hard and prior to SoLU had little success." / Twitter
 
 Tags:
 
 Bertology
 Chris Olah
 Tweet
 
 2022-06-27 About
 
 Anthropic sur Twitter : "a mathematical framework for trying to reverse engineer transformer language models..."
 
 Tags:
 
 Bertology
 Catherine Olsson
 Chris Olah
 Transformers
 Tweet
 
 2021-12-23 About
 
 BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? | SAIL Blog
 
 Tags:
 
 Bertology
 Contextualized word representations
 EMNLP 2019
 NLP@Stanford
 
 2020-03-28 About
 
 [2002.12327] A Primer in BERTology: What we know about how BERT works
 
 Tags:
 
 Arxiv Doc
 BERT
 Bertology
 Survey / Review
 
 (article praised on [twitter](https://twitter.com/dennybritz/status/1233343170596917248?s=20) by D Britz and Y. Goldberg)
 
 2020-02-28 About
 
 NLP's Clever Hans Moment has Arrived
 
 Tags:
 
 Benjamin Heinzerling
 Bertology
 
 Do neural networks learn what we think they learn? @benbenhh reviews research that suggests that they often instead fall prey to the so-called Clever Hans effect and discusses its implications for NLP.
 
 2020-01-10 About
 
 [2003.05473] Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking (CoNNL 2019)
 
 Tags:
 
 Arxiv Doc
 BERT
 Bertology
 Discuté avec Raphaël
 End-To-End Entity Linking
 Good
 
 Training BERT-base-uncased on English Wikipedia and then fine-tuned and evaluating it on an entity linking (EL) benchmark (EL implemented as a token classification over the entity vocabulary) > BERT+Entity is a straightforward extension on top of BERT, i.e. we initialize BERT with the publicly available weights from the BERT-base-uncased model and add an output classification layer on top of the architecture. Given a contextualized token, the classifier computes the probability of an entity link for each entry in the entity vocabulary. Can BERT’s architecture learn all entity linking steps jointly? To answer: > an extreme simplification of the **entity linking setup that works surprisingly well**: simply cast it as **a per token classification over the entire entity vocabulary** (over 700K classes in our case). > the model is the first that performs entity linking without any pipeline or any heuristics, compared to all prior approaches. We found that with our approach we can learn additional entity knowledge in BERT that helps in entity linking. **However, we also found that almost none of the downstream tasks really required entity knowledge**. ### Related work - > [Durrett and Klein (2014)](/doc/2020/01/a_joint_model_for_entity_analys) were the first to propose jointly modelling Mention detection, Candidate generation and Entity disambiguation in a graphical model and could show that each of those steps are interdependent and benefit from a joint objective This paper uses neural techniques instead of CRF. - > [Yamada](/showprop.do?pptyuri=http%3A%2F%2Fwww.semanlink.net%2F2001%2F00%2Fsemanlink-schema%23arxiv_author&pptyval=Ikuya%2BYamada) (2016, 2017) was the first to investigate neural text representations and entity linking, but their approach is limited to ED. cf. [#Wikipedia2Vec](tag:wikipedia2vec). Compare with [newer work by Yamada](doc:2020/09/1909_01259_neural_attentive_b)
 
 2020-01-09 About
 
 [1911.01464] Emerging Cross-lingual Structure in Pretrained Language Models
 
 Tags:
 
 Arxiv Doc
 Bertology
 Cross-lingual NLP
 NLP@Facebook
 Pre-Trained Language Models
 
 2019-11-06 About
 
 BERT is now part of Google Search, so let’s understand how it reasons
 
 Tags:
 
 BERT
 Bertology
 NLP: negation
 
 2019-10-31 About
 
 Evolution of Representations in the Transformer (2019)
 
 Tags:
 
 Bertology
 EMNLP 2019
 Information bottleneck method
 Information theory AND Deep Learning
 Transformers
 
 Blog post about [this paper](http://127.0.0.1:8080/semanlink/doc/2019/09/_1909_01380_the_bottom_up_evol)
 
 2019-09-16 About
 
 BERT's success in some benchmarks tests may be simply due to the exploitation of spurious statistical cues in the dataset. Without them it is no better then random. : MachineLearning
 
 Tags:
 
 BERT
 Bertology
 
 2019-07-24 About
 
 [1907.07355] Probing Neural Network Comprehension of Natural Language Arguments
 
 Tags:
 
 Arxiv Doc
 BERT
 Bertology
 
 what has BERT learned about argument comprehension? [Comments](/doc/2019/07/bert_s_success_in_some_benchmar)
 
 2019-07-24 About
 
 [1906.04341] What Does BERT Look At? An Analysis of BERT's Attention
 
 Tags:
 
 Arxiv Doc
 Attention mechanism
 BERT
 Bertology
 Chris Manning
 What's encoded by a NN
 
 2019-06-21 About
 
 [1906.02715] Visualizing and Measuring the Geometry of BERT
 
 Tags:
 
 Arxiv Doc
 BERT
 Bertology
 Geometry of language embeddings
 NLP@Google
 Thèse IRIT-Renault: biblio
 Tree embeddings
 
 > At a high level, linguistic features seem to be represented in separate semantic and syntactic subspaces. We find evidence of a fine-grained geometric representation of word senses. We also present empirical descriptions of syntactic representations in both attention matrices and individual word embeddings, as well as a mathematical argument to explain the geometry of these representations
 
 2019-06-07 About
 
 [1905.05950] BERT Rediscovers the Classical NLP Pipeline
 
 Tags:
 
 Arxiv Doc
 Bertology
 
 > We find that the model represents the steps of the traditional NLP pipeline in an interpretable and localizable way, and that the regions responsible for each step appear in the expected sequence: POS tagging, parsing, NER, semantic roles, then coreference. Qualitative analysis reveals that the model can and often does adjust this pipeline dynamically, revising lower-level decisions on the basis of disambiguating information from higher-level representations.
 
 2019-05-18 About
 
 BERTopic
 
 Maarten Grootendorst sur X : "BERTopic + LLMs + DataMapPlot"
 
 Tags:
 
 BERTopic
 Tweet
 
 2024-01-06 About
 
 Maarten Grootendorst sur Twitter : "The v0.14 release of BERTopic is here. Fine-tune your topic keywords and labels with models from @OpenAI, @huggingface, @CohereAI, @spacy_io, and @LangChainAI... An overview thread"
 
 Tags:
 
 BERTopic
 Tweet
 
 2023-02-15 About
 
 BERTopic: The Future of Topic Modeling | Pinecone
 
 Tags:
 
 BERTopic
 Pinecone
 
 2022-05-12 About
 
 MaartenGr/BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics.
 
 Tags:
 
 BERT
 BERTopic
 GitHub project
 Topic Modeling
 
 > topic modeling technique that leverages 🤗 transformers and [c-TF-IDF](https://github.com/MaartenGr/cTFIDF) to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions. refers to [Top2Vec](doc:2022/03/ddangelov_top2vec_top2vec_lear) [youtube](https://www.youtube.com/watch?v=Qub3PrFvauI) [tweet](https://twitter.com/JayAlammar/status/1594681648121102336?s=20&t=R0G_LrajK9WBtzypwXtD7Q)
 
 2022-03-10 About
 
 CamemBERT
 
 Sentence Embedding Fine-tuning for the French Language | by La Javaness R&D | Feb, 2022 | Medium
 
 Tags:
 
 CamemBERT
 NLP: French
 NLP sample code
 sBERT fine-tuning
 
 2022-03-31 About
 
 Sahajtomar/french_semantic · Hugging Face
 
 Tags:
 
 CamemBERT
 Discuté avec Raphaël
 huggingface / transformers
 NLP: French
 Sentence-BERT
 
 2021-10-14 About
 
 Paris NLP Season 4 Meetup #3 – Paris NLP (2020)
 
 Tags:
 
 CamemBERT
 Job matching
 Paris NLP meetup
 Siamese networks
 Triplet Loss
 
 - Siamese CNN for jobs-candidate matching: learning document embeddings with triplet loss. - Sesame street-based naming schemes must fade out, long live CamemBERT et le French fromage!
 
 2020-01-23 About
 
 CamemBERT
 
 Tags:
 
 CamemBERT
 
 language model for French based on the RoBERTa architecture pretrained on the French subcorpus of the OSCAR multilingual corpus
 
 2019-11-10 About
 
 DistilBERT
 
 Hugging Face sur Twitter : DistilBERT-cased for Question Answering w/ just 3 lines of javascript
 
 Tags:
 
 DistilBERT
 Hugging Face
 JavaScript
 Question Answering
 Tweet
 
 2020-02-14 About
 
 Domain-Specific BERT
 
 NLP | How to add a domain-specific vocabulary (new tokens) to a subword tokenizer already trained like BERT WordPiece | by Pierre Guillou | Medium
 
 Tags:
 
 Domain adaptation: vocabulary
 Domain-Specific BERT
 huggingface / transformers
 Language Model: domain adaptation
 
 2022-03-18 About
 
 [2007.15779] Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
 
 Tags:
 
 Arxiv Doc
 Biomedical NLP
 Domain-Specific BERT
 NLP@Microsoft
 
 > A prevailing assumption is that even domain-specific pretraining can benefit by starting from general-domain language models. In this paper, we challenge this assumption by showing that **for domains with abundant unlabeled text, such as biomedicine, pretraining language models from scratch results in substantial gains over continual pretraining of general-domain language models**
 
 2021-04-11 About
 
 exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources - ACL Anthology
 
 Tags:
 
 BERT
 Biomedical NLP
 Domain adaptation (NLP)
 Domain-Specific BERT
 EMNLP 2020
 NLP@Harvard
 
 **Focus on the Embedding of Domain-specific Vocabulary.** > exBERT adds a new domain-specific vocabulary and the corresponding embedding layer, as well as a small extension module to the original unmodified model > a pretraining method allowing **low-cost embedding of domain-specific vocabulary in the context of an existing large pre-trained model such as BERT** > exBERT... explicitly incorporates the new domain’s vocabulary, while being able to **reuse the original pre-trained model’s weights as is** to reduce required computation and training data. Specifically, exBERT extends BERT by augmenting its embeddings for the original vocabulary with new embeddings for the domain-specific vocabulary via **a learned small “extension” module**. **The output of the original and extension modules are combined via a trainable weighted sum operation** In a way similar to concept developed in > [[1902.00751] Parameter-Efficient Transfer Learning for NLP](doc:2021/04/1902_00751_parameter_efficien), but not in the fine-tuning paradigm. [Github](https://github.com/cgmhaicenter/exBERT)
 
 2021-04-11 About
 
 [2009.02835] E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce
 
 Tags:
 
 Arxiv Doc
 Aspect Detection
 BERT + KB
 Domain-Specific BERT
 Product data & NLP
 
 E-BERT, pre-training framework for product data. 1. to benefit from phrase-level knowledge: Adaptive Hybrid Masking, a new masking strategy, which allows the model to adaptively switch from learning preliminary word knowledge to learning complex phrases 2. leveraging product-level knowledge: training E-BERT to predict a product’s associated neighbors (product association) Resources used: - description of millions of products from the amazon dataset (title, description, reviews) - e-commerce phrases: extracted from above dataset using [AutoPhrase](doc:2020/12/autophrase_automated_phrase_mi) - product association graph: pairs of substitutable and complementary products extracted from amazon dataset Not to be confounded with [[1911.03681] E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT](doc:2021/01/1911_03681_e_bert_efficient_)
 
 2020-12-14 About
 
 Domain-Specific BERT Models · Chris McCormick
 
 Tags:
 
 Domain-Specific BERT
 
 Chances are you won’t be able to pre-train BERT on your own dataset, for the following reasons: 1. Pre-training BERT requires a huge corpus 2. Huge Model + Huge Corpus = Lots of GPUs
 
 2020-12-01 About
 
 KeyBERT
 
 Maarten Grootendorst sur X : "Introducing KeyLLM. An extension to KeyBERT that can create, extract, and fine-tune keywords using Large Language Models!
 
 Tags:
 
 KeyBERT
 Keyword/keyphrase extraction
 
 2023-09-30 About
 
 MaartenGr/KeyBERT: Minimal keyword extraction with BERT
 
 Tags:
 
 KeyBERT
 Keyword/keyphrase extraction
 
 2022-10-06 About
 
 KnowBert
 
 An efficient long-text semantic retrieval approach via utilizing presentation learning on short-text | Complex & Intelligent Systems (2023)
 
 Tags:
 
 BERT
 Information retrieval
 Long documents
 
 long-text retrieval model based on BERT (called LTR-BERT)
 
 2024-01-31 About
 
 Rethinking Query Expansion for BERT Reranking | Advances in Information Retrieval (2020)
 
 Tags:
 
 BERT
 Information retrieval
 Query Expansion
 
 using BERT for Information Retrieval: > We find that traditional word-based query expansion is not entirely applicable
 
 2023-10-29 About
 
 [2002.06275] TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval
 
 Tags:
 
 Arxiv Doc
 BERT
 Knowledge distillation
 Neural Search
 NLP@Microsoft
 
 2023-08-27 About
 
 skeskinen/bert.cpp: ggml implementation of BERT
 
 Tags:
 
 .cpp
 BERT
 Frugal LLMs
 Quantization
 Sentence-BERT
 Sentence Embeddings
 
 > ggml inference of BERT neural net architecture with pooling and normalization from SentenceTransformers (sbert.net). High quality sentence embeddings in pure C++ (with C API). > > The main goal of bert.cpp is to run the BERT model using **4-bit integer quantization on CPU**
 
 2023-05-09 About
 
 Classifying long textual documents (up to 25 000 tokens) using BERT | by Sinequa | (2020)
 
 Tags:
 
 BERT
 Long documents
 Representation of text + metadata
 Sinequa
 Text Classification
 
 > long text + additional textual metadata (such as title, abstract …) and categories (location, authors …).
 
 2023-04-07 About
 
 Prompt Tuning BERT🎯:CommonLit Readability | Kaggle
 
 Tags:
 
 BERT
 NLP sample code
 Prompting/In-context learning
 
 > Prompt-tuning is a simple yet effective mechanism for learning “soft prompts” to condition frozen language models to perform specific downstream tasks.Soft prompts are learned through backpropagation and can be tuned to incorporate signal from any number of labeled examples. Finally, we show that conditioning,a frozen model with soft prompts confers benefits in robustness to domain transfer, as compared to full model tuning.
 
 2022-09-16 About
 
 Active Learning for BERT: An Empirical Study - ACL Anthology
 
 Tags:
 
 Active learning
 BERT
 EMNLP 2020
 Imbalanced Data
 NLP@IBM
 Text Classification
 
 > The use of Actice Learning (AL) with deep pre-trained models has so far received little consideration. > > We study the potential of (i) various AL strategies; (ii) in conjunction with BERT, (iii) within a highly challenging – yet common – real-world scenario of class imbalance and scarce labeled data. focused on binary classification > AL can boost BERT performance, especially in the most realistic scenario in which the initial set of labeled examples is created using keyword-based queries, resulting in a biased sample of the minority class. [Github](https://github.com/IBM/low-resource-text-classification-framework)
 
 2022-09-02 About
 
 Using BERT For Classifying Documents with Long Texts | by Armand Olivares | Medium
 
 Tags:
 
 BERT
 Long documents
 
 2022-06-29 About
 
 [1909.00426] Global Entity Disambiguation with BERT
 
 Tags:
 
 Arxiv Doc
 BERT
 Entity Disambiguation
 Ikuya Yamada
 
 2022-04-18 About
 
 MaartenGr/BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics.
 
 Tags:
 
 BERT
 BERTopic
 GitHub project
 Topic Modeling
 
 > topic modeling technique that leverages 🤗 transformers and [c-TF-IDF](https://github.com/MaartenGr/cTFIDF) to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions. refers to [Top2Vec](doc:2022/03/ddangelov_top2vec_top2vec_lear) [youtube](https://www.youtube.com/watch?v=Qub3PrFvauI) [tweet](https://twitter.com/JayAlammar/status/1594681648121102336?s=20&t=R0G_LrajK9WBtzypwXtD7Q)
 
 2022-03-10 About
 
 [2109.06304] Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
 
 Tags:
 
 Arxiv Doc
 BERT
 Phrase embeddings
 
 2022-02-25 About
 
 Domain Transfer with BERT | Pinecone
 
 Tags:
 
 BERT
 Domain adaptation (NLP)
 Pinecone
 
 2022-01-04 About
 
 Making the Most of Data: Augmentation with BERT | Pinecone
 
 Tags:
 
 BERT
 Cross-Encoders
 Pinecone
 Synthetic data (NLP)
 
 2021-12-18 About
 
 Advance BERT model via transferring knowledge from Cross-Encoders to Bi-Encoders | by Chien Vu | Towards Data Science
 
 Tags:
 
 BERT
 Cross-Encoders
 Data Augmentation
 Sentence-BERT
 Sentence Similarity
 
 Data Augmentation Method to improve SBERT Bi-Encoders for Pairwise Sentence Scoring Tasks (Semantic sentence tasks)
 
 2021-12-17 About
 
 [2007.12603] IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles
 
 Tags:
 
 Arxiv Doc
 BERT
 BM25
 Embeddings in Information Retrieval
 Semantic Search
 
 2021-04-12 About
 
 [1902.00751] Parameter-Efficient Transfer Learning for NLP
 
 Tags:
 
 Adapter modules (LM finetuning)
 Arxiv Doc
 BERT
 Continual Learning
 NLP@Google
 Transfer learning in NLP
 
 **Adapter tuning for NLP**. A strategy for tuning a large text model on several downstream tasks, that permits training on tasks sequentially, and that adds only a small number of additional parameters per task. New modules added between layers of a pre-trained network. Parameters of the original network are frozen and therefore may be shared by many tasks. [GitHub google-research/adapter-bert](https://github.com/google-research/adapter-bert)
 
 2021-04-11 About
 
 exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources - ACL Anthology
 
 Tags:
 
 BERT
 Biomedical NLP
 Domain adaptation (NLP)
 Domain-Specific BERT
 EMNLP 2020
 NLP@Harvard
 
 **Focus on the Embedding of Domain-specific Vocabulary.** > exBERT adds a new domain-specific vocabulary and the corresponding embedding layer, as well as a small extension module to the original unmodified model > a pretraining method allowing **low-cost embedding of domain-specific vocabulary in the context of an existing large pre-trained model such as BERT** > exBERT... explicitly incorporates the new domain’s vocabulary, while being able to **reuse the original pre-trained model’s weights as is** to reduce required computation and training data. Specifically, exBERT extends BERT by augmenting its embeddings for the original vocabulary with new embeddings for the domain-specific vocabulary via **a learned small “extension” module**. **The output of the original and extension modules are combined via a trainable weighted sum operation** In a way similar to concept developed in > [[1902.00751] Parameter-Efficient Transfer Learning for NLP](doc:2021/04/1902_00751_parameter_efficien), but not in the fine-tuning paradigm. [Github](https://github.com/cgmhaicenter/exBERT)
 
 2021-04-11 About
 
 [1901.04085] Passage Re-ranking with BERT
 
 Tags:
 
 Arxiv Doc
 BERT
 Learning to rank
 NLP@Facebook
 Ranking (information retrieval)
 
 a simple re-implementation of BERT for query-based passage re-ranking ["Slides of our WSDM 2021 tutorial "Pretrained Transformers for Text Ranking: BERT and Beyond"](doc:2021/03/rodrigo_nogueira_sur_twitter_)
 
 2021-03-26 About
 
 Rodrigo Nogueira sur Twitter : "Slides of our WSDM 2021 tutorial "Pretrained Transformers for Text Ranking: BERT and Beyond"
 
 Tags:
 
 BERT
 Learning to rank
 Ranking (information retrieval)
 Slides
 Tutorial
 Tweet
 
 2021-03-09 About
 
 kamalkraj/BERT-NER: Pytorch-Named-Entity-Recognition-with-BERT
 
 Tags:
 
 BERT
 GitHub project
 Named Entity Recognition
 
 Use google BERT to do CoNLL-2003 NER !
 
 2021-02-07 About
 
 [1911.03681] E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT
 
 Tags:
 
 Arxiv Doc
 BERT
 BERT + KB
 Discuté avec Raphaël
 Entity embeddings
 Text, KG and embeddings
 
 > way of **injecting factual knowledge about entities into the pretrained BERT model**. (Feeding entity vectors into BERT as if they were wordpiece vectors without additional encoder pretraining) > > **We align [Wikipedia2Vec](tag:wikipedia2vec) entity vectors (Yamada et al., 2016) with BERT's native wordpiece vector space and use the aligned entity vectors as if they were wordpiece vectors**. The resulting entity-enhanced version of BERT (called E-BERT) is similar in spirit to [ERNIE](tag:ernie) (Zhang et al., 2019) and [KnowBert](tag:knowbert) (Peters et al., 2019), but it **requires no expensive further pretraining of the BERT encoder**. > > Our vector space alignment strategy is inspired by cross-lingual word vector alignment Related work on Entity-enhanced BERT: > ([ERNIE](doc:2019/08/_1905_07129_ernie_enhanced_la) and [Knowbert](doc:2020/05/1909_04164_knowledge_enhanced)) are based on the design principle that BERT be adapted to entity vectors. They introduce new encoder layers to feed pretrained entity vectors into the Transformer, and they require additional pretraining to integrate the new parameters. In contrast, E-BERT’s design principle is that entity vectors be adapted to BERT. > > Two other knowledge-enhanced MLMs are [KEPLER](doc:2020/11/1911_06136_kepler_a_unified_) (Wang et al., 2019c) and K-Adapter (Wang et al., 2020)... Their factual knowledge does not stem from entity vectors – instead, they are trained in a multi-task setting on relation classification and knowledge base completion. Not to be cofounded with [[2009.02835] E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce](doc:2020/12/2009_02835_e_bert_a_phrase_a)
 
 2021-01-12 About
 
 Keyword Extraction with BERT | Towards Data Science
 
 Tags:
 
 BERT
 Keyword/keyphrase extraction
 
 A minimal method for extracting keywords and keyphrases. [GitHub](https://github.com/MaartenGr/KeyBERT/) > uses BERT-embeddings and simple cosine similarity to find the sub-phrases in a document that are the most similar to the document itself.
 
 2020-12-06 About
 
 Salmon Run: Word Sense Disambiguation using BERT as a Language Model
 
 Tags:
 
 BERT
 huggingface / transformers
 NLP sample code
 Word-sense disambiguation
 
 2020-12-01 About
 
 Which flavor of BERT should you use for your QA task? | by Olesya Bondarenko | Towards Data Science
 
 Tags:
 
 BERT
 huggingface / transformers
 Question Answering
 Tutorial
 
 A guide to choosing and benchmarking BERT models for question answering
 
 2020-10-04 About
 
 BERT Word Embeddings Tutorial · Chris McCormick
 
 Tags:
 
 BERT
 Tutorial
 Word embeddings
 
 2020-07-06 About
 
 [1909.03193] KG-BERT: BERT for Knowledge Graph Completion
 
 Tags:
 
 Arxiv Doc
 BERT
 Discuté avec Raphaël
 Knowledge Graph Completion
 Pre-Trained Language Models
 Transformers
 
 Pre-trained language models for knowledge graph completion. **Triples are treated as textual sequences**. (Hum, j'ai déjà vu ça quelque part. Ah, peut-être [RDF2VEC](tag:rdf2vec)? // TODO à voir) Takes entity and relation descriptions of a triple as input and computes scoring function of the triple with the KG-BERT language model > we first treat entities, relations and triples as textual sequences and turn knowledge graph completion into a sequence classification problem. We then fine-tune BERT model on these sequences for predicting the plausibility of a triple or a relation. The method [GitHub](https://github.com/yao8839836/kg-bert)
 
 2020-03-22 About
 
 [1909.07606] K-BERT: Enabling Language Representation with Knowledge Graph
 
 Tags:
 
 Arxiv Doc
 BERT
 Knowledge Graph + Deep Learning
 Knowledge Graphs in NLP
 Language Model
 
 a knowledge-enabled language representation model (K-BERT) with knowledge graphs (KGs), in which triples are injected into the sentences as domain knowledge (Summarized in [Domain adaptation of word embeddings through the exploitation of in-domain corpora and knowledge bases (PhD Thesis 2021)](doc:2022/03/domain_adaptation_of_word_embed), p43)
 
 2020-03-08 About
 
 Unsupervised NER using BERT - Hands-on NLP model review - Quora
 
 Tags:
 
 BERT
 Named Entity Recognition
 
 [GitHub](https://github.com/ajitrajasekharan/unsupervised_NER)
 
 2020-03-06 About
 
 [2002.12327] A Primer in BERTology: What we know about how BERT works
 
 Tags:
 
 Arxiv Doc
 BERT
 Bertology
 Survey / Review
 
 (article praised on [twitter](https://twitter.com/dennybritz/status/1233343170596917248?s=20) by D Britz and Y. Goldberg)
 
 2020-02-28 About
 
 [2002.11402] Detecting Potential Topics In News Using BERT, CRF and Wikipedia
 
 Tags:
 
 Arxiv Doc
 BERT
 Conditional random fields
 Named Entity Recognition
 Wikipedia
 
 2020-02-27 About
 
 Distilling BERT models with spaCy - Towards Data Science (2019)
 
 Tags:
 
 BERT
 Knowledge distillation
 spaCy
 Transfer learning in NLP
 Yves Peirsman
 
 2020-02-15 About
 
 [2002.02925] BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
 
 Tags:
 
 Arxiv Doc
 BERT
 Knowledge distillation
 NLP@Microsoft
 
 approach to compress BERT by progressive module replacing. > Compared to the previous knowledge distillation approaches for BERT compression, our approach leverages only one loss function and one hyper-parameter [Github](https://github.com/JetRunner/BERT-of-Theseus)
 
 2020-02-10 About
 
 Canwen Xu sur Twitter : "WTF? We brutally dismember BERT and replace all his organs?"
 
 Tags:
 
 BERT
 Knowledge distillation
 NLP@Microsoft
 
 [paper](/doc/2020/02/_2002_02925_bert_of_theseus_c)
 
 2020-02-10 About
 
 Building a Search Engine with BERT and TensorFlow - Towards Data Science
 
 Tags:
 
 BERT
 Nearest neighbor search
 NLP and Search
 Search Engines
 TensorFlow
 
 [somewhat related](/doc/2020/01/elasticsearch_meets_bert_build)
 
 2020-01-12 About
 
 Elasticsearch meets BERT: Building Search Engine with Elasticsearch and BERT
 
 Tags:
 
 BERT
 ElasticSearch
 GitHub project
 NLP and Search
 Text Similarity
 
 - Links to [this ES blog post](/doc/2020/01/text_similarity_search_in_elast) - [somewhat related](/doc/2020/01/building_a_search_engine_with_b)
 
 2020-01-10 About
 
 [2003.05473] Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking (CoNNL 2019)
 
 Tags:
 
 Arxiv Doc
 BERT
 Bertology
 Discuté avec Raphaël
 End-To-End Entity Linking
 Good
 
 Training BERT-base-uncased on English Wikipedia and then fine-tuned and evaluating it on an entity linking (EL) benchmark (EL implemented as a token classification over the entity vocabulary) > BERT+Entity is a straightforward extension on top of BERT, i.e. we initialize BERT with the publicly available weights from the BERT-base-uncased model and add an output classification layer on top of the architecture. Given a contextualized token, the classifier computes the probability of an entity link for each entry in the entity vocabulary. Can BERT’s architecture learn all entity linking steps jointly? To answer: > an extreme simplification of the **entity linking setup that works surprisingly well**: simply cast it as **a per token classification over the entire entity vocabulary** (over 700K classes in our case). > the model is the first that performs entity linking without any pipeline or any heuristics, compared to all prior approaches. We found that with our approach we can learn additional entity knowledge in BERT that helps in entity linking. **However, we also found that almost none of the downstream tasks really required entity knowledge**. ### Related work - > [Durrett and Klein (2014)](/doc/2020/01/a_joint_model_for_entity_analys) were the first to propose jointly modelling Mention detection, Candidate generation and Entity disambiguation in a graphical model and could show that each of those steps are interdependent and benefit from a joint objective This paper uses neural techniques instead of CRF. - > [Yamada](/showprop.do?pptyuri=http%3A%2F%2Fwww.semanlink.net%2F2001%2F00%2Fsemanlink-schema%23arxiv_author&pptyval=Ikuya%2BYamada) (2016, 2017) was the first to investigate neural text representations and entity linking, but their approach is limited to ED. cf. [#Wikipedia2Vec](tag:wikipedia2vec). Compare with [newer work by Yamada](doc:2020/09/1909_01259_neural_attentive_b)
 
 2020-01-09 About
 
 Named Entity Recognition with Bert – Depends on the definition
 
 Tags:
 
 BERT
 Hugging Face
 Named Entity Recognition
 NLP sample code
 
 > how you can finetune the Bert model to do state-of-the art named entity recognition Same author: [NER with Lime](/doc/2020/01/interpretable_named_entity_reco)
 
 2020-01-09 About
 
 [1902.10909] BERT for Joint Intent Classification and Slot Filling
 
 Tags:
 
 Arxiv Doc
 BERT
 Intent classification and slot filling
 NLP@Alibaba
 
 > Experimental results show that our proposed joint BERT model outperforms BERT models modeling intent classification and slot filling separately, demonstrating the efficacy of exploiting the relationship between the two tasks. Adding a CRF on top of the model doesn't improve the results.
 
 2020-01-09 About
 
 Lecture 14 – Contextual Vectors | Stanford CS224U: Natural Language Understanding | Spring 2019
 
 Tags:
 
 BERT
 Contextualized word representations
 ELMo
 NLP@Stanford
 
 2020-01-05 About
 
 BERT is now part of Google Search, so let’s understand how it reasons
 
 Tags:
 
 BERT
 Bertology
 NLP: negation
 
 2019-10-31 About
 
 Meet ALBERT: a new ‘Lite BERT’ from Google & Toyota with State of the Art NLP performance and 18x fewer parameters.
 
 Tags:
 
 ALBERT
 BERT
 NLP@Google
 Toyota
 
 2019-10-01 About
 
 Smaller, faster, cheaper, lighter: Introducing DistilBERT, a distilled version of BERT
 
 Tags:
 
 BERT
 Hugging Face
 Knowledge distillation
 
 2019-08-28 About
 
 [1905.07129] ERNIE: Enhanced Language Representation with Informative Entities
 
 Tags:
 
 ACL 2019
 Arxiv Doc
 BERT
 Discuté avec Raphaël
 ERNIE
 Knowledge Graphs in NLP
 Text, KG and embeddings
 Transformers
 
 > We argue that informative entities in **KGs can enhance language representation with external knowledge**. In this paper, we utilize both large-scale textual corpora and KGs to train an enhanced language representation model (ERNIE), which can take full advantage of lexical, syntactic, and knowledge information simultaneously. > ERNIE achieves significant improvements on various knowledge-driven tasks, and meanwhile is comparable with the state-of-the-art model BERT on other common NLP tasks [GitHub](https://github.com/thunlp/ERNIE) WARNING, there is another ERNIE (by [NLP@Baidu](tag:nlp_baidu)): Yu Sun, Shuohuan Wang, Yukun Li, Shikun Feng, Xuyi Chen, Han Zhang, Xin Tian, Danxiang Zhu, Hao Tian, and Hua Wu. 2019. Ernie: Enhanced representation through knowledge integration. This doesn't happen when you choose François-Paul as the name for your child.
 
 2019-08-05 About
 
 What is XLNet and why it outperforms BERT - Towards Data Science
 
 Tags:
 
 BERT
 XLNet
 
 2019-08-02 About
 
 BERT's success in some benchmarks tests may be simply due to the exploitation of spurious statistical cues in the dataset. Without them it is no better then random. : MachineLearning
 
 Tags:
 
 BERT
 Bertology
 
 2019-07-24 About
 
 [1907.07355] Probing Neural Network Comprehension of Natural Language Arguments
 
 Tags:
 
 Arxiv Doc
 BERT
 Bertology
 
 what has BERT learned about argument comprehension? [Comments](/doc/2019/07/bert_s_success_in_some_benchmar)
 
 2019-07-24 About
 
 [1906.04341] What Does BERT Look At? An Analysis of BERT's Attention
 
 Tags:
 
 Arxiv Doc
 Attention mechanism
 BERT
 Bertology
 Chris Manning
 What's encoded by a NN
 
 2019-06-21 About
 
 NLP: Contextualized word embeddings from BERT – Towards Data Science
 
 Tags:
 
 BERT
 
 2019-06-12 About
 
 [1906.02715] Visualizing and Measuring the Geometry of BERT
 
 Tags:
 
 Arxiv Doc
 BERT
 Bertology
 Geometry of language embeddings
 NLP@Google
 Thèse IRIT-Renault: biblio
 Tree embeddings
 
 > At a high level, linguistic features seem to be represented in separate semantic and syntactic subspaces. We find evidence of a fine-grained geometric representation of word senses. We also present empirical descriptions of syntactic representations in both attention matrices and individual word embeddings, as well as a mathematical argument to explain the geometry of these representations
 
 2019-06-07 About
 
 "I made a bet that a Naive Bayes classifier would work as well on humor recognition as a neural net with fine-tuned Bert embeddings. I won"
 
 Tags:
 
 BERT
 Humour
 Naive Bayes classifier
 Rada Mihalcea
 
 [Jeremy Howard's answer](https://forums.fast.ai/t/nlp-challenge-project/44153)
 
 2019-06-06 About
 
 Introducing FastBert — A simple Deep Learning library for BERT Models
 
 Tags:
 
 BERT
 fast.ai
 huggingface / transformers
 
 2019-05-23 About
 
 Robust Language Representation Learning via Multi-task Knowledge Distillation - Microsoft Research
 
 Tags:
 
 BERT
 Ensemble learning
 NLP@Microsoft
 
 Related to [this](/doc/?uri=https%3A%2F%2Farxiv.org%2Fabs%2F1901.11504).
 
 2019-05-19 About
 
 [1904.08398] DocBERT: BERT for Document Classification
 
 Tags:
 
 Arxiv Doc
 BERT
 Text Classification
 
 2019-04-18 About
 
 huggingface/pytorch-pretrained-BERT: The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
 
 Tags:
 
 BERT
 GitHub project
 PyTorch
 
 2019-03-15 About
 
 [1901.11504] Multi-Task Deep Neural Networks for Natural Language Understanding
 
 Tags:
 
 Arxiv Doc
 BERT
 KD-MKB biblio
 Multi-task learning
 NLP@Microsoft
 NLU
 Pre-Trained Language Models
 
 outperforms BERT in nine of eleven benchmark NLP tasks
 
 2019-02-17 About
 
 Using BERT for state-of-the-art pre-training for natural language processing
 
 Tags:
 
 BERT
 Howto
 
 2019-02-14 About
 
 Jacob Devlin talks about BERT at the Stanford NLP seminar
 
 Tags:
 
 BERT
 Slides
 
 Includes new results such as the effect of the masking strategy, using synthetic training data,...
 
 2019-02-11 About
 
 Romain Vial (Hyperlex) at Paris NLP meetup, slides
 
 Tags:
 
 BERT
 Good
 Information extraction
 Knowledge Graph Completion
 Knowledge Graph Construction
 Long documents
 NLP + juridique
 Paris NLP meetup
 Slides
 
 > Hyperlex is a contract analytics and management solution powered by artificial intelligence. Hyperlex helps companies manage and make the most of their contract portfolio by identifying relevant information and data to manage key contractual commitments. > Take-home message: > > - Sentence representation starts to be well understood empirically > - Large document representation is still an open (and interesting) problem!
 
 2019-01-24 About
 
 The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar
 
 Tags:
 
 BERT
 Contextualized word representations
 ELMo
 Transfer learning in NLP
 ULMFiT
 
 2018-12-03 About
 
 Google AI Blog: Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing
 
 Tags:
 
 BERT
 
 2018-11-05 About
 
 GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT
 
 Tags:
 
 BERT
 GitHub
 
 Code and pretrained weights for BERT. Includes scripts to reproduce results. BERT-Base can be fine-tuned on a standard GPU; for BERT-Large, a Cloud TPU is required
 
 2018-11-05 About
 
 [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
 
 Tags:
 
 Arxiv Doc
 BERT
 Language Model
 Neural machine translation
 Sequence-to-sequence learning
 Transformers
 
 **The "Devlin et al 2019" paper** [Paper Dissected](https://datasciencetoday.net/index.php/en-us/nlp/211-paper-dissected-bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-explained)
 
 2018-10-12 About
 
 Dialogflow
 
 Train embeddings by using the Two-Tower built-in algorithm | Vertex AI
 
 Tags:
 
 Dialogflow
 Two-Tower neural network
 
 > The Two-Tower model pairs similar types of objects, such as user profiles, search queries, web documents, answer passages, or images, in the same vector space, so that related items are close to each other. **The Two-Tower model consists of two encoder towers: the query tower and the candidate tower**. These towers embed independent items into a shared embedding space, which lets Matching Engine retrieve similarly matched items. > > To train a Two-Tower model, Google uses **pairs of relevant items**. Each pair consists of a query document and a candidate document. Documents contain arbitrary customer-defined features including text, numeric, and categorical features. After training, the Two-Tower built-in algorithm exports two TensorFlow SavedModels—a query encoder and a candidate encoder... Given a query item, Matching Engine uses the query encoder to generate a query embedding, and uses the index to find similar candidate embeddings. Matching Engine uses the candidate encoder to index all the items and serve them by using an approximate nearest neighbor solution.
 
 2021-11-04 About
 
 Gemini
 Google LaMDA
 
 LaMDA: our breakthrough conversation technology
 
 Tags:
 
 Google LaMDA
 
 2023-01-28 About
 
 PaLM
 PaLM 2
 
 Google AI PaLM 2 – Google AI
 
 Tags:
 
 PaLM 2
 
 2023-05-15 About
 
 Google AI Blog: Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance
 
 Tags:
 
 Google AI Blog
 PaLM
 
 2022-04-05 About
 
 SGNN
 
 Self-Governing Neural Networks for On-Device Short Text Classification - Sujith Ravi | Zornitsa Kozareva (2018)
 
 Tags:
 
 EMNLP 2018
 NLP@Google
 SGNN
 
 [same paper](https://aclweb.org/anthology/papers/D/D18/D18-1092/)
 
 2018-11-02 About
 
 T5 (Text-To-Text Transfer Transformer)
 Flan-T5
 
 Ramsri Goutham Golla sur Twitter : "The most practical open-source competitor to @OpenAI 's GPT-3 is Google's Flan-T5 Here are 5 Flan-T5 resources to try out easily, deploy, or fine-tune it! 🧵" / Twitter
 
 Tags:
 
 Flan-T5
 GPT-3
 Open-source LLM
 Tweet
 
 2023-02-04 About
 
 Shayne Longpre sur Twitter : "What’s the best completely public competitor to #ChatGPT? Flan-T5 beats all public models we tested..."
 
 Tags:
 
 ChatGPT: competitors
 Flan-T5
 Instruction tuning
 Tweet
 
 > It's promising these results don't use any [#RLHF](tag:reinforcement_learning_from_human_feedback) data, or human "alignment", which is expensive to collect and less publicly available. > Key takeaway: finetuning Flan-T5 is better and more compute-efficient than finetuning T5.[src](https://twitter.com/_jasonwei/status/1620864198262804481?s=20&t=hMXLCdqcOFAEbjsfwc_yog)
 
 2023-02-01 About
 
 [2108.08877] Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
 
 Tags:
 
 Arxiv Doc
 Sentence Embeddings
 T5 (Text-To-Text Transfer Transformer)
 
 2023-02-17 About
 
 [2205.08184] SKILL: Structured Knowledge Infusion for Large Language Models
 
 Tags:
 
 Arxiv Doc
 KG-augmented Language Models
 NLP@Google
 Structured knowledge
 T5 (Text-To-Text Transfer Transformer)
 
 > a method to infuse structured knowledge into LLMs, by directly training T5 models on factual triples of knowledge graphs > The models pre-trained on factual triples compare competitively with the ones on natural language sentences that contain the same knowledge. > The proposed method has an advantage that no alignment between the knowledge graph and text corpus is required
 
 2022-05-18 About
 
 Omer Levy sur Twitter : "What if I told you that fine-tuning T5-Large (0.8B params) on a couple hundred examples could outperform GPT-3 (175B params) on a bunch of tasks?"
 
 Tags:
 
 GPT-3
 Language Models: size
 T5 (Text-To-Text Transfer Transformer)
 Tweet
 
 2021-10-13 About
 
 Google AI Blog: Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer (2020)
 
 Tags:
 
 Google AI Blog
 T5 (Text-To-Text Transfer Transformer)
 Transfer learning in NLP
 
 > With T5, we propose reframing all NLP tasks into a unified text-to-text-format where the input and output are always text strings, in contrast to BERT-style models that can only output either a class label or a span of the input. Our text-to-text framework allows us to use the same model, loss function, and hyperparameters on any NLP task, including machine translation, document summarization, question answering, and classification tasks
 
 2021-10-13 About
 
 Universal Sentence Encoder
 
 [2008.11228] A simple method for domain adaptation of sentence embeddings
 
 Tags:
 
 Arxiv Doc
 Domain adaptation (NLP)
 sBERT fine-tuning
 Sentence-BERT: Domain adaptation
 Universal Sentence Encoder
 
 2022-04-01 About
 
 [1803.11175] Universal Sentence Encoder
 
 Tags:
 
 Arxiv Doc
 DANs (Deep Averaging Neural Networks)
 Google Research
 Ray Kurzweil
 Transfer learning
 Universal Sentence Encoder
 
 models for encoding sentences into embedding vectors that specifically target transfer learning to other NLP tasks. > With transfer learning via sentence embeddings, we observe surprisingly good performance with minimal amounts of supervised training data for a transfer task mixes an unsupervised task using a large corpus together with the supervised SNLI task, leveraging the [#Transformer](/tag/attention_is_all_you_need) architecture
 
 2018-05-29 About
 
 Word2vec
 Doc2Vec
 
 A gentle introduction to Doc2Vec – ScaleAbout – Medium
 
 Tags:
 
 Doc2Vec
 
 2018-02-14 About
 
 Explanation for Doc2Vec - Quora
 
 Tags:
 
 Doc2Vec
 
 2018-02-14 About
 
 [1507.07998] Document Embedding with Paragraph Vectors
 
 Tags:
 
 Arxiv Doc
 Chris Olah
 Doc2Vec
 
 2017-08-20 About
 
 [1405.4053] Distributed Representations of Sentences and Documents
 
 Tags:
 
 Arxiv Doc
 Doc2Vec
 Tomas Mikolov
 
 Paragraph Vector: an unsupervised algorithm that learns fixed-length feature representations from variable-length pieces of texts, such as sentences, paragraphs, and documents.Represents each document by a dense vector which is trained to predict words in the document. Overcomes the weaknesses of the [Bag Of Words](/tag/bag_of_words) model (order of words, semantic of words)
 
 2017-07-10 About
 
 Word2vec: howto
 
 More Fun With Word Vectors - Bag of Words Meets Bags of Popcorn | Kaggle
 
 Tags:
 
 Word2vec: howto
 
 > We found that the code above gives about the same (or slightly worse) results compared to the Bag of Words
 
 2017-07-20 About
 
 Can I use word2vec representation to train a weka classifier? - Quora
 
 Tags:
 
 Word2vec: howto
 
 2017-07-20 About
 
 Can I use word2vec to train a machine learning classifier? - Quora
 
 Tags:
 
 Word2vec: howto
 
 2017-07-20 About
 
 An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec
 
 Tags:
 
 gensim
 NLP sample code
 Using word embeddings
 Word2vec: howto
 Word embeddings
 
 Types of word embeddings: - Frequency based Embedding - Count Vector - TF-IDF Vector - Co-Occurrence Vector - Co_occurence matrix (with a fixed context window), size V*V or V * N (Vocab size * subset of V size) matrix. - PCA or SVD: keeping the k most important eigenvalues - Prediction based Embedding - CBOW (Continuous Bag Of Words). 1 hidden layer, one output layer. Predict the probability of a word given a context - Skip-gram. Predict the proba of the context given a word Sample code using gensim
 
 2017-06-09 About
 
 On word embeddings
 
 Tags:
 
 Sebastian Ruder
 Word2vec
 Word embeddings
 
 History of word embeddings in the context of language modelling. [Next post in serie](doc:2020/06/approximating_the_softmax_for_l)
 
 2020-06-05 About
 
 Contrastive Unsupervised Learning of Semantic Representations: A Theoretical Framework – Off the convex path (2019-03)
 
 Tags:
 
 Contrastive Self-Supervised Learning
 Embeddings
 Sanjeev Arora
 Word2vec
 
 [paper](/doc/?uri=https%3A%2F%2Farxiv.org%2Fabs%2F1902.09229). Why do objectives similar the one used by word2vec succeed in such diverse settings? ("Contrastive Unsupervised Representation Learning" (CURL): **methods that leverage similar pairs of data points**) > In contrastive learning the objective used at test time is very different from the training objective: generalization error is not the right way to think about this. -> a framework that formalizes the notion of semantic similarity that is implicitly used by these algorithms > **if the unsupervised loss happens to be small at the end of contrastive learning then the resulting representations perform well on downstream classification**
 
 2019-03-20 About
 
 Keywords2vec
 
 Tags:
 
 GitHub project
 Keyword/keyphrase extraction
 Medical IR, ML, IA
 Phrase mining
 RAKE
 Simple idea
 Word2vec
 
 To generate a word2vec model, but using keywords instead of one word. Tokenize on stopwords + non word characters (This remembers me author of [FlashText algorithm](tag:flashtext_algorithm.html) saying he had developed it to create word2vec models)
 
 2019-02-09 About
 
 How sampling works in Word2vec? Can someone please make me understand NCE and negative sampling? - Cross Validated
 
 Tags:
 
 Noise contrastive estimation
 Word2vec
 
 > In order to deal with the issue of the expensive computation of the softmax, Word2Vec uses a technique called noise-contrastive estimation... **The basic idea is to convert a multinomial classification problem (as it is the problem of predicting the next word) to a binary classification problem.**
 
 2018-07-07 About
 
 [1803.05651] Word2Bits - Quantized Word Vectors
 
 Tags:
 
 Arxiv Doc
 Word2vec
 Word embeddings
 
 We show that high quality quantized word vectors using 1-2 bits per parameter can be learned by introducing a quantization function into Word2Vec. We furthermore show that training with the quantization function acts as a regularizer
 
 2018-03-20 About
 
 GitHub - anvaka/word2vec-graph: Exploring word2vec embeddings as a graph of nearest neighbors
 
 Tags:
 
 GitHub project
 Graph visualization
 Word2vec
 
 2018-03-12 About
 
 [1710.04099] Wembedder: Wikidata entity embedding web service
 
 Tags:
 
 Arxiv Doc
 gensim
 Knowledge Graphs
 Word2vec
 
 web service for querying an embedding of entities in the Wikidata knowledge graph. The embedding is trained on the Wikidata dump using Gensim's Word2Vec implementation and a simple graph walk
 
 2018-02-13 About
 
 [1712.09405] Advances in Pre-Training Distributed Word Representations
 
 Tags:
 
 Arxiv Doc
 FastText
 NLP@Facebook
 Tomas Mikolov
 Word2vec
 Word embeddings
 
 > we show how to train high-quality word vector representations by using a combination of known tricks that are however rarely used together. The main result of our work is the new set of publicly available pre-trained models that outperform the current state of the art by a large margin on a number of tasks
 
 2017-12-29 About
 
 gensim/WMD_tutorial.ipynb
 
 Tags:
 
 gensim
 Word2vec
 Word Mover’s Distance
 
 Finding similar documents with Word2Vec and WMD (Word Mover’s Distance)
 
 2017-12-23 About
 
 Spell Checker using Word2vec | Kaggle
 
 Tags:
 
 Spellchecker
 Word2vec
 
 2017-11-03 About
 
 LSTM with word2vec embeddings | Kaggle
 
 Tags:
 
 Keras embedding layer
 LSTM
 NLP sample code
 Using word embeddings
 Word2vec
 
 2017-10-25 About
 
 Using Gensim Word2Vec Embeddings in Keras | Ben Bolte's Blog
 
 Tags:
 
 gensim
 Keras
 NLP sample code
 Word2vec
 
 2017-10-23 About
 
 A Word2Vec Keras tutorial
 
 Tags:
 
 Keras
 Tutorial
 Word2vec
 
 2017-10-23 About
 
 Distributed Word Representations for Information Retrieval
 
 Tags:
 
 Chris Manning
 Embeddings in Information Retrieval
 Word2vec
 Word embeddings
 
 includes description of word2vec
 
 2017-10-01 About
 
 Word2Vec Resources · Chris McCormick
 
 Tags:
 
 Links
 Word2vec
 
 2017-09-12 About
 
 Word2Vec Tutorial Part 2 - Negative Sampling · Chris McCormick
 
 Tags:
 
 Negative Sampling
 Tutorial
 Word2vec
 
 the tweaks to make training feasible
 
 2017-09-10 About
 
 Word2Vec Tutorial - The Skip-Gram Model · Chris McCormick
 
 Tags:
 
 Good
 Tutorial
 Word2vec
 
 skip-gram
 
 2017-09-10 About
 
 How does word2vec work? Can someone walk through a specific example? - Quora
 
 Tags:
 
 Word2vec
 
 2017-08-28 About
 
 Vector Representations of Words | TensorFlow
 
 Tags:
 
 TensorFlow
 Tutorial
 Word2vec
 Word embeddings
 
 2017-08-28 About
 
 An overview of word embeddings and their connection to distributional semantic models - AYLIEN (2016)
 
 Tags:
 
 Distributional semantics
 GloVe
 Good
 Sebastian Ruder
 Word2vec
 Word embedding: evaluation
 Word embeddings
 
 > While on the surface DSMs and word embedding models use varying algorithms to learn word representations – the former count, the latter predict – both types of model fundamentally act on the same underlying statistics of the data, i.e. the co-occurrence counts between words... > These results are in contrast to the general consensus that word embeddings are superior to traditional methods. Rather, they indicate that it typically makes no difference whatsoever whether word embeddings or distributional methods are used. What really matters is that your hyperparameters are tuned and that you utilize the appropriate pre-processing and post-processing steps.
 
 2017-07-20 About
 
 Some pre-trained word2vec models for French
 
 Tags:
 
 NLP: French
 Word2vec
 
 2017-07-20 About
 
 word2vec-api
 
 Tags:
 
 François Scharffe
 gensim
 GitHub project
 Word2vec
 
 Simple web service providing a word embedding API. The methods are based on Gensim Word2Vec implementation. List of word2vec datasets
 
 2017-06-09 About
 
 gensim: models.word2vec – Deep learning with word2vec
 
 Tags:
 
 gensim
 Word2vec
 
 2017-06-01 About
 
 Word2vec in gensim Tutorial | RaRe Technologies
 
 Tags:
 
 gensim
 Tutorial
 Word2vec
 
 2017-06-01 About
 
 alternatives to word2vec? - Quora
 
 Tags:
 
 Word2vec
 Word embeddings
 
 2017-05-23 About
 
 Improving Topic Models with Latent Feature Word Representations | Nguyen | Transactions of the Association for Computational Linguistics
 
 Tags:
 
 Topic Models + Word embedding
 Word2vec
 
 2017-05-20 About
 
 Using Word2Vec for topic modeling - Stack Overflow
 
 Tags:
 
 Stack Overflow
 Topic Modeling
 Word2vec
 
 2017-05-19 About
 
 Text Classification With Word2Vec - DS lore (2016)
 
 Tags:
 
 NLP sample code
 Python sample code
 Text Classification
 Word2vec
 
 > Overall, we won’t be throwing away our SVMs any time soon in favor of word2vec but it has it’s place in text classification. > > 1. SVM’s are pretty great at text classification tasks > 2. Models based on simple averaging of word-vectors can be surprisingly good too (given how much information is lost in taking the average) > 3. but they only seem to have a clear advantage when there is ridiculously little labeled training data > > Update 2017: actually, the best way to utilise the pretrained embeddings would probably be this [using keras](https://blog.keras.io/using-pre-trained-word-embeddings-in-a-keras-model.html) Sample code to benchmark a few text categorization models to test whehter word embeddings like word2vec can improve text classification accuracy. Sample code (based on scikit-learn) includes an embedding vectorizer that is given embedding dataset and vectorizes texts by taking the mean of all the vectors corresponding to individual words.
 
 2017-05-18 About
 
 Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors (2014)
 
 Tags:
 
 GloVe
 Word2vec
 Word embedding: evaluation
 Word embeddings
 
 (good presentation in the intro of context-counting vs. context-predicting vectors)
 
 2017-05-18 About
 
 How is GloVe different from word2vec? - Quora
 
 Tags:
 
 GloVe
 Word2vec
 Word embeddings
 
 Both learn geometrical encodings (vectors) of words from their co-occurrence information. Word2vec is a "predictive" model, whereas GloVe is a "count-based" model.
 
 2017-05-18 About
 
 Using Cognonto to Generate Domain Specific word2vec Models | Frederick Giasson
 
 Tags:
 
 Frederick Giasson
 Word2vec
 
 creating domain-specific training corpuses to use with word2vec can have a dramatic impact on the results and how results can be much more meaningful within the scope of that domain. Another advantage of the domain-specific training corpuses is that they create much smaller models.
 
 2016-09-29 About
 
 2Vec or Not 2Vec?
 
 Tags:
 
 Word2vec
 Word embeddings
 
 2016-03-05 About
 
 Word2vec: Neural Word Embeddings in Java - Deeplearning4j: Open-source, distributed deep learning for the JVM
 
 Tags:
 
 Java
 Word2vec
 
 2016-02-26 About
 
 [1301.3781] Efficient Estimation of Word Representations in Vector Space
 
 Tags:
 
 Arxiv Doc
 Tomas Mikolov
 Word2vec
 Word embeddings
 
 We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to the previously best performing techniques based on different types of neural networks. We observe large improvements in accuracy at much lower computational cost, i.e. it takes less than a day to learn high quality word vectors from a 1.6 billion words data set. Furthermore, we show that these vectors provide state-of-the-art performance on our test set for measuring syntactic and semantic word similarities.
 
 2016-01-13 About
 
 [2404.11018] Many-Shot In-Context Learning
 
 Tags:
 
 Arxiv Doc
 DeepMind
 Hugo Larochelle
 LLMs: extended context window
 Many-Shot In-Context Learning
 NLP@Google
 
 2024-04-21 About
 
 [2307.15936] A Theory for Emergence of Complex Skills in Language Models
 
 Tags:
 
 Arxiv Doc
 Emergence in LLMs
 NLP@Google
 Sanjeev Arora
 
 [New Theory Suggests Chatbots Can Understand Text | Quanta Magazine](doc:2024/02/new_theory_suggests_chatbots_ca)
 
 2024-02-24 About
 
 Rachit Bansal sur X : "An LLM can be efficiently *composed* with specialized (L)LMs to enable new tasks"
 
 Tags:
 
 Avoiding Catastrophic Forgetting
 LLM Composition
 Multilingual NLP
 NLP@Google
 Twitter thread
 
 [[2401.02412] LLM Augmented LLMs: Expanding Capabilities through Composition](doc:2024/01/2401_02412_llm_augmented_llms) > CALM—Composition to Augment Language Models: > 1. Scales up LLMs on new tasks by *re-using* existing (L)LMs w/ very few new parameters & data, > 2. Keeps existing model weights intact, hence **preserves original capabilities**, > 3. Applies to diverse domains and settings. > Rather than a shallow combination, CALM introduces a small set of cross-attention parameters over models’ layer representations. Use-case example, Multilinguality: > We reuse an LM trained on a bunch of low-resource languages (LRLs) w/ an LLM that has never seen some of these LRLs.
 
 2024-01-06 About
 
 Getting started with DeepMatcher.ipynb - Colaboratory
 
 Tags:
 
 Deep Matcher
 NLP@Google
 
 2023-09-20 About
 
 Modular and Parameter-Efficient Fine-Tuning for NLP Models
 
 Tags:
 
 NLP@Google
 Parameter-efficient fine-tuning (PEFT)
 Sebastian Ruder
 
 2023-08-08 About
 
 SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval
 
 Tags:
 
 Discuté avec Raphaël
 Embeddings in Information Retrieval
 Information retrieval
 Learning sparse representations
 NLP@Google
 SIGIR 2023
 Sparse+Dense
 Sparse retrieval
 
 retrieval model that learns sparse lexical representations with contextual embeddings > we **combine the strengths of both the sparse and dense representations** for first-stage retrieval. > > Compared with [SPLADE](tag:splade), our model leverages the contextual embeddings to improve model expressiveness. Compared with [ColBERT](tag:colbert), our sparse representations are trained end-to-end to optimize both efficiency and effectiveness.
 
 2023-07-26 About
 
 [2305.14128] Dr.ICL: Demonstration-Retrieved In-context Learning
 
 Tags:
 
 Arxiv Doc
 NLP@Google
 Prompting/In-context learning
 
 > While early studies primarily used a fixed or random set of demonstrations for all test queries, recent research suggests that retrieving semantically similar demonstrations to the input from a pool of available demonstrations results in better performance. This work expands the applicability of retrieval-based ICL approaches by demonstrating that even simple word-overlap similarity measures such as BM25 outperform randomly selected demonstrations.
 
 2023-07-14 About
 
 Generative AI support on Vertex AI generally available | Google Cloud Blog
 
 Tags:
 
 Generative AI
 Google Cloud Platform
 NLP@Google
 VertexAI
 
 2023-06-09 About
 
 [2305.11778] Cross-Lingual Supervision improves Large Language Models Pre-training
 
 Tags:
 
 Arxiv Doc
 Machine translation
 Multilingual NLP
 NLP@Google
 Pre-Trained Language Models
 
 > We demonstrate that pre-training Large Language Models on a mixture of a self-supervised Language Modeling objective and the supervised Machine Translation objective, therefore including cross-lingual parallel data during pre-training, yields models with better in-context learning abilities.
 
 2023-05-22 About
 
 Peter J. Liu sur Twitter : "RLHF-alternative without RL"
 
 Tags:
 
 Alternative way
 Fine-tuning
 NLP@Google
 Reinforcement learning
 RL from Human Feedback
 Tweet
 
 > TL;DR: Works as well as RLHF, but a lot simpler. About as easy and efficient as fine-tuning. Much better than simply fine-tuning on good examples.
 
 2023-05-18 About
 
 [2305.06897] AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages
 
 Tags:
 
 Arxiv Doc
 Masakhane
 NLP@Google
 NLP 4 Africa
 Open-Retrieval QA
 Sebastian Ruder
 
 [Twitter](https://twitter.com/j___y_t/status/1657392003666128896)
 
 2023-05-15 About
 
 Google teases Project Tailwind — a prototype AI notebook that learns from your documents - The Verge
 
 Tags:
 
 Google
 LLMs over your data
 NLP@Google
 
 2023-05-14 About
 
 Google "We Have No Moat, And Neither Does OpenAI"
 
 Tags:
 
 Cannibalizing LLMs
 Good
 Google
 LLM
 LoRA
 NLP@Google
 NLP@Meta
 OpenAI
 Open Source
 Open-source LLM
 
 > low-cost public involvement was enabled by a vastly cheaper mechanism for fine tuning called low rank adaptation ()[LoRA](tag:lora) > **Part of what makes LoRA so effective is that ... it’s stackable.** > > By contrast, training giant models from scratch not only throws away the pretraining, but also any iterative improvements that have been made on top. > LoRA updates are very cheap to produce (~$100) for the most popular model sizes. > Many of these projects are saving time by training on small, highly curated datasets... > These datasets are built using synthetic methods (e.g. filtering the best responses from an existing model) and scavenging from other projects > Directly Competing With Open Source Is a Losing Proposition > Paradoxically, the one clear winner in all of this is Meta. Because the leaked model was theirs ([LLaMA](tag:llama)), they have effectively garnered an entire planet's worth of free labor. Since most open source innovation is happening on top of their architecture, there is nothing stopping them from directly incorporating it into their products.
 
 2023-05-04 About
 
 Aran Komatsuzaki sur Twitter : "JaxPruner: A concise library for sparsity research An open-source JAX-based pruning and sparse training library for machine learning research repo"
 
 Tags:
 
 JAX
 NLP@Google
 Sparse models
 Tweet
 
 2023-04-28 About
 
 [2303.16839] MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
 
 Tags:
 
 AI@Google
 Arxiv Doc
 Document AI
 Language Model
 Multimodal Models
 Multi-task learning
 NLP@Google
 
 The development of language models have moved from encoder-decoder to decoder-only designs. In addition, the common knowledge has it that the two most popular multimodal tasks, the generative and contrastive tasks, tend to conflict with one another, are hard to accommodate in one architecture, and further need complex adaptations for downstream tasks. We propose a novel paradigm of training with a decoder-only model for multimodal tasks Related work: [CLIP: Connecting Text and Images](doc:2021/01/clip_connecting_text_and_images)
 
 2023-04-25 About
 
 [2304.01982] Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
 
 Tags:
 
 Arxiv Doc
 ColBERT
 Multi-Vector Retrieval
 Neural Search
 NLP@Google
 
 > Multi-vector retrievers like [ColBERT](tag:colbert) are powerful, but they come at the cost of complicated inference. In this paper, we ask: "can token retrieval alone achieve great performance in multi-vector retrieval?" [tweet](https://twitter.com/leejnhk/status/1643632578824396805?s=20) > The key insight of XTR is that the token-retrieval in multi-vector models should be **trained to retrieve the most salient and informative document tokens**, so that the score between a query and document can be computed using only the retrieved information, just like how single-vector retrieval models work > This is an *amazing* way to re-engineer the scoring mechanism of late interaction / ColBERT retrievers! [src: ColBERT's author Omar Khattab](https://twitter.com/lateinteraction/status/1643439889902637056?s=20) - scoring using only retrieved document terms - imputing missing token scores using their upper bound
 
 2023-04-05 About
 
 [2112.05682] Self-attention Does Not Need O(n^2) Memory
 
 Tags:
 
 Arxiv Doc
 Google Research
 NLP@Google
 Self-Attention
 
 2023-02-27 About
 
 [2203.14465] STaR: Bootstrapping Reasoning With Reasoning
 
 Tags:
 
 Arxiv Doc
 Chain-of-thought
 LLM
 NLP@Google
 NLP@Stanford
 Reasoning
 
 "Self-Taught Reasoner" (STaR) > (to our knowledge) the first technique to allow a pre-trained large language model to iteratively use its language modeling capacity to improve itself > Generating step-by-step "chain-of-thought" rationales improves language model performance on complex reasoning tasks like mathematics or commonsense question-answering. However, inducing language model rationale generation currently requires either constructing massive rationale datasets or sacrificing accuracy by using only few-shot inference. We propose **a technique to iteratively leverage a small number of rationale examples and a large dataset without rationales**, to bootstrap the ability to perform successively more complex reasoning.
 
 2023-02-07 About
 
 The Flan Collection: Advancing open source methods for instruction tuning – Google AI Blog
 
 Tags:
 
 Google AI Blog
 Instruction tuning
 LLM
 NLP@Google
 
 > The ability to reason on new tasks is mostly credited to training models on a wide variety of unique instructions, known as “instruction tuning”, which was introduced by FLAN and extended in T0, Super-Natural Instructions, MetaICL, and InstructGPT.
 
 2023-02-02 About
 
 An empirical analysis of compute-optimal large language model training
 
 Tags:
 
 DeepMind
 Language Models: size
 LLM
 LM Training
 NLP@Google
 
 > the current large language models are far too large for their compute budget and are not being trained on enough data.
 
 2023-01-26 About
 
 Characterizing Emergent Phenomena in Large Language Models – Google AI Blog
 
 Tags:
 
 Emergence in LLMs
 Google AI Blog
 Language Models: size
 NLP@Google
 
 [Tweet](https://twitter.com/_jasonwei/status/1618331876623523844?s=20&t=sMbTCnu16Od8vGBmo0x6ig) > unpredictable phenomenon that we refer to as emergent abilities of large language models. We consider an ability to be emergent if it is not present in smaller models but is present in larger models. Thus, emergent abilities cannot be predicted simply by extrapolating the performance of smaller models. The existence of such emergence implies that additional scaling could further expand the range of capabilities of language models.
 
 2023-01-26 About
 
 [2202.06991] Transformer Memory as a Differentiable Search Index
 
 Tags:
 
 Arxiv Doc
 Information retrieval
 Mostafa Dehghani
 NLP@Google
 Transformers
 
 > In this paper, we demonstrate that information retrieval can be accomplished with a single Transformer, in which all information about the corpus is encoded in the parameters of the model. To this end, we introduce the Differentiable Search Index (DSI), a new paradigm that learns a text-to-text model that maps string queries directly to relevant docids; in other words, a DSI model answers queries directly using only its parameters, dramatically simplifying the whole retrieval process.
 
 2022-10-25 About
 
 Tutorial on Uncertainty Estimation for NLP
 
 Tags:
 
 COLING2022
 NLP@Google
 Tutorial
 Uncertainty in NLP
 
 2022-10-18 About
 
 Stephanie Chan sur Twitter : "Transformer inductive biases..."
 
 Tags:
 
 NLP@Google
 Transformers
 Tweet
 
 > Transformers generalize differently from information stored in: > >- weights - mostly "rule-based" >- context - mostly "exemplar-based" > >This effect depends on (a) the training data (b) the size of the transformer
 
 2022-10-14 About
 
 Yi Tay sur Twitter : "Don't retrieve, recite!..."
 
 Tags:
 
 Language Model
 NLP@Google
 Retrieval augmented LM
 Tweet
 
 > Introducing Recitation-Augmented Language models "RECITE" from @GoogleAI
 
 2022-10-06 About
 
 [2206.10658] Questions Are All You Need to Train a Dense Passage Retriever
 
 Tags:
 
 Arxiv Doc
 NLP@Facebook
 NLP@Google
 Open Domain Question Answering
 Retriever
 
 > **approach for training dense retrieval models that does not require any labeled training data**. Dense retrieval is a central challenge for open-domain tasks, such as Open QA, where state-of-the-art methods typically require large supervised datasets with custom hard-negative mining and denoising of positive examples. > > ART, in contrast, only requires access to unpaired inputs and outputs (e.g. questions and potential answer documents). > > It uses a new document-retrieval autoencoding scheme, where > 1. an input question is used to retrieve a set of evidence documents, and > 2. the documents are then used to compute the probability of reconstructing the original question. > > Training for retrieval based on question reconstruction enables effective unsupervised learning of both document and question encoders, which can be later incorporated into complete Open QA systems without any further finetuning. [Tweet](doc:2022/07/devendra_singh_sachan_sur_twitt) > Given an input question, ART first retrieves a small set of possible evidences documents. It then recon structs the original question by attending to these documents > > The key idea in ART is to consider the retrieved documents as a noisy representation of the original question and question reconstruction probability as a way of denoising that provides soft-labels for how likely each document is to have been the correct result Refers to [[IZACARD 2012.04584] Distilling Knowledge from Reader to Retriever for Question Answering](doc:2020/12/2012_04584_distilling_knowled)
 
 2022-07-06 About
 
 [2205.08184] SKILL: Structured Knowledge Infusion for Large Language Models
 
 Tags:
 
 Arxiv Doc
 KG-augmented Language Models
 NLP@Google
 Structured knowledge
 T5 (Text-To-Text Transfer Transformer)
 
 > a method to infuse structured knowledge into LLMs, by directly training T5 models on factual triples of knowledge graphs > The models pre-trained on factual triples compare competitively with the ones on natural language sentences that contain the same knowledge. > The proposed method has an advantage that no alignment between the knowledge graph and text corpus is required
 
 2022-05-18 About
 
 [2205.05131] Unifying Language Learning Paradigms
 
 Tags:
 
 Arxiv Doc
 Mostafa Dehghani
 NLP: pretraining
 NLP@Google
 Pre-Trained Language Models
 
 2022-05-12 About
 
 [2203.08913] Memorizing Transformers
 
 Tags:
 
 Arxiv Doc
 k-nearest neighbors
 Language Model
 LLMs: extended context window
 LMs: context length
 Memory in deep learning
 NLP@Google
 
 [tweet](https://twitter.com/LiamFedus/status/1522605777961119745?s=20&t=Jt9GBjNcFw6TqeqYvz_BRA): Memorizing Transformers which increases context length up to 262k by an external memory of (keys, values) for that document. - Matches quality of Transformers 5x larger - Can fine-tune a prior pre-trained models to use it > Language models typically need to be trained or finetuned in order to acquire new knowledge, which involves updating their weights. We instead envision language models that can simply read and memorize new data at inference time, thus acquiring new knowledge immediately
 
 2022-05-07 About
 
 Tu Vu sur Twitter : "Enormous LMs like GPT-3 exhibit impressive few-shot performance, but w/ self-training a BERT base sized model can achieve much better results!
 
 Tags:
 
 EMNLP 2021
 Few-shot learning
 NLP: intermediate-task training
 NLP@Google
 Self-training
 Task augmentation
 Text Classification
 Tweet
 
 > [[2109.06270] STraTA: Self-Training with Task Augmentation for Better Few-shot Learning](doc:2022/04/2109_06270_strata_self_train) [Github](https://github.com/google-research/google-research/tree/master/STraTA) [at HuggingFace](https://github.com/huggingface/transformers/tree/main/examples/research_projects/self-training-text-classification) -- Remark: Like [[2203.10581] Cluster & Tune: Boost Cold Start Performance in Text Classification](doc:2022/04/2203_10581_cluster_tune_bo), adds an intermediate fine-tuning step // TODO compare
 
 2022-04-13 About
 
 [1906.00300] Latent Retrieval for Weakly Supervised Open Domain Question Answering
 
 Tags:
 
 Arxiv Doc
 End-to-End Learning
 NLP@Google
 Open Domain Question Answering
 Open-Retrieval QA
 Semi-Supervised QA
 
 > The key insight of this work is that end-to-end learning is possible if we pre-train the retriever with an unsupervised Inverse Cloze Task (ICT). In ICT, a sentence is treated as a pseudo- question, and its context is treated as pseudo- evidence
 
 2022-01-11 About
 
 Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations – Google Research (WWW 2020)
 
 Tags:
 
 Google Research
 Negative Sampling
 NLP@Google
 Recommender Systems
 Two-Tower neural network
 
 > a novel negative sampling approach called **Mixed Negative Sampling (MNS**). In particular, different from commonly used batch or unigram sampling methods, MNS uses a mixture of batch and uniformly sampled negatives to tackle the selection bias of implicit user feedback (voir si ça a un rapport avec [Multiple Negatives Ranking Loss](doc:2021/10/next_gen_sentence_embeddings_wi))
 
 2021-11-04 About
 
 [2106.04647] Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
 
 Tags:
 
 Arxiv Doc
 Language Models: size
 LM Fine-tuning
 NLP@Google
 Sebastian Ruder
 
 > Compacter (Compact Adapter) layers, a method to adapt large-scale language models, which only trains around 0.05% of a model's parameters and performs on par with fine-tuning. [twitter](https://twitter.com/KarimiRabeeh/status/1404774464441794560)
 
 2021-09-29 About
 
 [2010.12566] DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries
 
 Tags:
 
 Arxiv Doc
 Dictionnaire
 Multilingual Language Models
 NLP@Google
 
 > Despite the strong representation learning capability enabled by MLM, we demonstrate an inherent limitation of MLM for multilingual representation learning. In particular, by requiring the model to predict the language-specific token, the MLM objective disincentivizes learning a language-agnostic representation -- which is a key goal of multilingual pre-training > > DICT-MLM works by incentivizing the model to be able to predict not just the original masked word, but potentially any of its crosslingual synonyms as well.
 
 2021-09-06 About
 
 [2102.07043] Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
 
 Tags:
 
 Arxiv Doc
 NLP@Google
 Open Domain Question Answering
 Ruslan Salakhutdinov
 Virtual knowledge graph
 
 > a method for constructing **a virtual KB (VKB) trained entirely from text** Open Predicate Query Language (OPQL): constructing a virtual knowledge base (VKB) that supports KB reasoning & open-domain QA, tackling the incompleteness of knowledge bases by constructing a virtual KB only from text > OPQL constructs a VKB by **encoding and indexing a set of relation mentions** in a way that naturally enables reasoning and can be trained without any structured supervision. > can be used as an **external memory integrated into a language model** cf. this earlier paper [[2002.10640] Differentiable Reasoning over a Virtual Knowledge Base](doc:2020/07/2002_10640_differentiable_rea). But does not require an initial structured KB for distant supervision. > The key idea in constructing the OPQL VKB is to use a dual-encoder pre-training process, similar to [[1906.03158] Matching the Blanks: Distributional Similarity for Relation Learning](doc:2021/05/1906_03158_matching_the_blank) Related work section refers to [[1909.04164] Knowledge Enhanced Contextual Word Representations](doc:2020/05/1909_04164_knowledge_enhanced). Also refers to [[2007.00849] Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge](doc:2020/07/2007_00849_facts_as_experts_) (some authors in common)
 
 2021-06-20 About
 
 [1906.03158] Matching the Blanks: Distributional Similarity for Relation Learning
 
 Tags:
 
 Arxiv Doc
 NLP@Google
 Relation Learning
 
 > a new method of learning relation representations directly from text > > First, we study the **ability of the Transformer neural network architecture (Vaswani et al., 2017) to encode relations between entity pairs**, and we identify a method of representation that outperforms previous work in supervised relation extraction. Then, we present a method of training this relation representation **without any supervision from a knowledge graph or human annotators** from widely available distant supervision in the form of entity linked text > > **we assume** access to a corpus of text in which entities have been linked to unique identifiers and we define a relation statement to be a block of text containing two marked entities.
 
 2021-05-13 About
 
 [1909.10506] Learning Dense Representations for Entity Retrieval
 
 Tags:
 
 Arxiv Doc
 Entity Retrieval
 Hard negative mining
 NLP@Google
 Two-Tower neural network
 Unsupervised negative mining
 
 > We show that it is feasible to perform **entity linking by training a dual encoder (two-tower) model that encodes mentions and entities in the same dense vector space**, where candidate entities are retrieved by approximate nearest neighbor search. Unlike prior work, **this setup does not rely on an alias table followed by a re-ranker, and is thus the first fully learned entity retrieval model**. Contributions: > - a dual encoder architecture for learning entity and mention encodings suitable for retrieval. A key feature of the architecture is that it employs a modular **hierarchy of sub-encoders that capture different aspects of mentions and entities** > - a simple, fully unsupervised **hard negative mining** strategy that produces massive gains in retrieval performance, compared to using only random negatives > - high quality candidate entities very efficiently using approximate nearest neighbor search > - outperforms discrete retrieval baselines like an alias table or BM25 > strong retrieval performance across all 5.7 million Wikipedia entities in around 3ms per mention > since we are using a two-tower or dual encoder architecture, **our model cannot use any kind of attention over both mentions and entities at once**, nor feature-wise comparisons as done by Francis-Landau et al. (2016). This is a fairly severe constraint – for example, **we cannot directly compare the mention span to the entity title** – but it permits retrieval with nearest neighbor search for the entire context against a single, all encompassing representation for each entity
 
 2021-05-01 About
 
 [1902.00751] Parameter-Efficient Transfer Learning for NLP
 
 Tags:
 
 Adapter modules (LM finetuning)
 Arxiv Doc
 BERT
 Continual Learning
 NLP@Google
 Transfer learning in NLP
 
 **Adapter tuning for NLP**. A strategy for tuning a large text model on several downstream tasks, that permits training on tasks sequentially, and that adds only a small number of additional parameters per task. New modules added between layers of a pre-trained network. Parameters of the original network are frozen and therefore may be shared by many tasks. [GitHub google-research/adapter-bert](https://github.com/google-research/adapter-bert)
 
 2021-04-11 About
 
 [2002.08909] REALM: Retrieval-Augmented Language Model Pre-Training
 
 Tags:
 
 Arxiv Doc
 Knowledge-augmented Language Models
 Neural Search
 NLP@Google
 Not Encoding Factual Knowledge in Language Model
 REALM
 Retrieval augmented LM
 Retriever-Reader
 
 **Augment language model pre-training with a retriever module**, which is trained using the masked language modeling objective. > To capture knowledge in a more modular and interpretable way, we augment language model pre-training with a latent knowledge retriever, which allows the model to retrieve and attend over documents from a large corpus such as Wikipedia, used during pre-training, fine-tuning and inference. **For the first time, we show how to pre-train such a knowledge retriever in an unsupervised manner**, using masked language modeling as the learning signal and backpropagating through a retrieval step that considers millions of documents Hum, #TODO: parallel to be drawn with techniques in [KG-augmented Language Models](tag:knowledge_graph_augmented_language_models) which focus "on the problem of capturing declarative knowledge in the learned parameters of a language model." [Google AI Blog Post](doc:2020/08/google_ai_blog_realm_integrat) [Summary](https://joeddav.github.io/blog/2020/03/03/REALM.html) for the [Hugging Face awesome-papers reading group](doc:2021/03/huggingface_awesome_papers_pap)
 
 2020-12-12 About
 
 Google AI Blog: REALM: Integrating Retrieval into Language Representation Models
 
 Tags:
 
 Knowledge-augmented Language Models
 Neural Search
 NLP@Google
 REALM
 
 > a new open-source method for language model pre-training that uses a supplemental knowledge retriever that enables it to perform well on knowledge-intensive tasks without billions of parameters. > > The key intuition of REALM is that a retrieval system should improve the model's ability to fill in missing words [Paper: REALM: Retrieval-Augmented Language Model Pre-Training](doc:2020/12/2002_08909_realm_retrieval_a)
 
 2020-08-13 About
 
 [2004.07202] Entities as Experts: Sparse Memory Access with Entity Supervision
 
 Tags:
 
 Arxiv Doc
 KG-augmented Language Models
 Memory networks
 NLP@Google
 Not Encoding Factual Knowledge in Language Model
 Question Answering
 Transformers
 
 > We focus on the problem of **capturing declarative knowledge in the learned parameters of a language model**... > Entities as Experts (EaE) can access distinct memories of the entities mentioned in a piece of text; > To understand the motivation for distinct and independent entity representations: A traditional Transformer would need to build an internal representation of Charles Darwin from the words “Charles” and “Darwin”... Conversely, EAE can access a dedicated representation of “Charles Darwin”, which is a memory of all of the contexts in which this entity has previously been mentioned.... Having retrieved and re-integrated this memory it is much easier for EAE to relate the question to the answer > EaE's entity representations are learned directly from text. Correct identification, and representation, of entities is essential to EaE's performance Based on transformer architecture Extension: [Facts as Experts](doc:2020/07/2007_00849_facts_as_experts_)
 
 2020-07-11 About
 
 [2007.00849] Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge
 
 Tags:
 
 AI + Knowledge Bases
 Arxiv Doc
 Google Research
 Knowledge Graph + Deep Learning
 Neural Memory
 NLP@Google
 NN / Symbolic AI hybridation
 Not Encoding Factual Knowledge in Language Model
 
 > a neural language model that includes **an explicit interface between symbolically interpretable factual information and subsymbolic neural knowledge.**... **The model can be updated without re-training by manipulating its symbolic representations**. In particular this model allows us to add new facts and overwrite existing ones. > a **neural language model which learns to access information in a symbolic knowledge graph.** > This model builds on the recently-proposed [Entities as Experts](doc:2020/07/2004_07202_entities_as_expert) (EaE) language model (Févry et al., 2020), which extends the same transformer (Vaswani et al., 2017) architecture of BERT (Devlin et al., 2019) with an additional external memory for entities. > > After training EaE, the embedding associated with an entity will (ideally) capture information about the textual context in which that entity appears, and by inference, the entity’s semantic properties > > we include an additional memory called a fact memory, which encodes triples from a symbolic KB. > > This combination results in a neural language model which learns to access information in a the symbolic knowledge graph. TODO: - read again IBM's [Span Selection Pre-training for Question Answering](doc:2019/09/_1909_04120_span_selection_pre) ("an effort to avoid encoding general knowledge in the transformer network itself") - compare with [[1907.05242] Large Memory Layers with Product Keys](doc:2019/07/_1907_05242_large_memory_layer) - how does it relate with [[2002.08909] REALM: Retrieval-Augmented Language Model Pre-Training](doc:2020/12/2002_08909_realm_retrieval_a)?
 
 2020-07-09 About
 
 Representation Learning for Information Extraction from Form-like Documents – Google Research
 
 Tags:
 
 2D-NLP
 ACL 2020
 Google Research
 NLP@Google
 Representation Learning for NLP
 Templatic documents
 
 > a novel approach using representation learning for tackling the problem of **extracting structured information from form-like document images**. We propose an **extraction system that uses knowledge of the types of the target fields to generate extraction candidates**, and a neural network architecture that learns a dense representation of each candidate based on neighboring words in the document. [Blog post](doc:2020/06/google_ai_blog_extracting_stru)
 
 2020-06-15 About
 
 Google AI Blog: Extracting Structured Data from Templatic Documents (2020)
 
 Tags:
 
 2D-NLP
 NLP@Google
 Structured data extraction
 Templatic documents
 
 [About this paper](doc:2020/06/representation_learning_for_inf) Templatic documents (eg. invoices): such documents do not contain “natural language” but instead resemble forms, with data often presented in tables > an approach that **uses knowledge of target field types to identify candidate fields**. These are then scored using **a neural network that learns a dense representation of each candidate using the words in its neighborhood**. Experiments on two corpora (invoices and receipts) show that we’re able to generalize well to unseen layouts. > > An understanding of the **two-dimensional layout of text** on the page is key to understanding such documents. On the other hand, treating this purely as an image segmentation problem makes it difficult to take advantage of the semantics of the text. > > Our approach to this problem allows developers to train and deploy an extraction system for a given domain (like invoices) using **two inputs — a target schema (i.e., a list of fields to extract and their corresponding types) and a small collection of documents labeled with the ground truth for use as a training set** - The input document is first run through an [OCR service](doc:2020/06/detecter_le_texte_dans_les_fich). - a candidate generator identifies spans of text in the OCR output that might correspond to an instance of a given field (uses pre-existing libraries associated with each field type) - Each candidate is then scored using a neural network (that is trained as a binary classifier)
 
 2020-06-15 About
 
 How Much Knowledge Can You Pack Into the Parameters of a Language Model?
 
 Tags:
 
 Language Model
 Language Models: size
 NLP@Google
 Question Answering
 
 > It has recently been observed that neural language models trained on unstructured text can implicitly store and retrieve knowledge using natural language queries. indeed, cf. Facebook's paper [Language Models as Knowledge Bases?](/doc/2019/09/_1909_01066_language_models_as) > In this short paper, we measure the practical utility of this approach by fine-tuning pre-trained models to answer questions without access to any external context or knowledge. > we show that a large language model pre-trained on unstructured text can attain competitive results on open-domain question answering benchmarks without any access to external knowledge BUT: >1. state-of-the-art results only with the largest model which had 11 billion parameters. >1. “open-book” models typically provide some indication of what information they accessed when answering a question that provides a useful form of interpretability. In contrast, our model distributes knowledge in its parameters in an inexplicable way, which precludes this form of interpretability. >1. **the maximum-likelihood objective provides no guarantees as to whether a model will learn a fact or not.** So, what's the point? To be compared with this [IBM's paper](/doc/2019/09/_1909_04120_span_selection_pre): "a new pre-training task inspired by reading comprehension and an effort to avoid encoding general knowledge in the transformer network itself"
 
 2020-02-11 About
 
 Adam Roberts sur Twitter : "New preprint: How Much Knowledge Can You Pack into the Parameters of a Language Model?..."
 
 Tags:
 
 Knowledge-based AI
 Language Model
 NLP@Google
 Question Answering
 
 [paper](/doc/2020/02/how_much_knowledge_can_you_pack)
 
 2020-02-11 About
 
 Semantic Text Matching for Long-Form Documents (2019)
 
 Tags:
 
 Good
 Hierarchies in ML
 Long documents
 NLP@Google
 Semantic Text Matching
 Siamese networks
 TheWebConf 2019
 Transformers
 Tree structure
 
 **A document can be represented as a hierarchy of paragraph, sentence and word sequences.** Different paragraphs and sentences can have different semantic meaning and importance. A multi-depth attention-based hierarchical RNN derive representations for each level of document structure, which are then aggregated to build a representation of the entire document Uses a Siamese structure for semantic text matching.
 
 2020-01-23 About
 
 Meet ALBERT: a new ‘Lite BERT’ from Google & Toyota with State of the Art NLP performance and 18x fewer parameters.
 
 Tags:
 
 ALBERT
 BERT
 NLP@Google
 Toyota
 
 2019-10-01 About
 
 A2N: Attending to Neighbors for Knowledge Graph Inference - ACL 2019
 
 Tags:
 
 ACL 2019
 Attention in Graphs
 Google Research
 Knowledge Graph Completion
 Knowledge Graphs
 NLP@Google
 
 > State-of-the-art models for knowledge graph completion aim at learning a fixed embedding representation of entities in a multi-relational graph which can generalize to infer unseen entity relationships at test time. This can be sub-optimal as it requires memorizing and generalizing to all possible entity relationships using these fixed representations. We thus propose a novel **attention-based method to learn query-dependent representation of entities** which adaptively combines the relevant graph neighborhood of an entity leading to more accurate KG completion.
 
 2019-07-31 About
 
 [1906.02715] Visualizing and Measuring the Geometry of BERT
 
 Tags:
 
 Arxiv Doc
 BERT
 Bertology
 Geometry of language embeddings
 NLP@Google
 Thèse IRIT-Renault: biblio
 Tree embeddings
 
 > At a high level, linguistic features seem to be represented in separate semantic and syntactic subspaces. We find evidence of a fine-grained geometric representation of word senses. We also present empirical descriptions of syntactic representations in both attention matrices and individual word embeddings, as well as a mathematical argument to explain the geometry of these representations
 
 2019-06-07 About
 
 [1803.02893] An efficient framework for learning sentence representations
 
 Tags:
 
 Arxiv Doc
 NLP@Google
 Sentence Embeddings
 
 "**Quick Thoughts**". Framework for learning sentence representations from unlabelled data. > we reformulate the problem of predicting the context in which a sentence appears as a classification problem.
 
 2019-03-20 About
 
 Google AI Blog: Google at EMNLP 2018
 
 Tags:
 
 EMNLP 2018
 NLP@Google
 
 2018-11-25 About
 
 Self-Governing Neural Networks for On-Device Short Text Classification - Sujith Ravi | Zornitsa Kozareva (2018)
 
 Tags:
 
 EMNLP 2018
 NLP@Google
 SGNN
 
 [same paper](https://aclweb.org/anthology/papers/D/D18/D18-1092/)
 
 2018-11-02 About
 
 Module google/universal-sentence-encoder | TensorFlow
 
 Tags:
 
 EMNLP 2018
 Google Research
 NLP@Google
 Sentence Embeddings
 TensorFlow
 
 [Paper presented at EMNLP 2018](https://aclanthology.coli.uni-saarland.de/papers/D18-2029/d18-2029)
 
 2018-05-23 About
 
 From Words to Concepts and Back: Dictionaries for Linking Text, Entities and Ideas
 
 Tags:
 
 Entities
 NLP@Google
 
 2012-05-22 About
 
 Google Translator: The Universal Language
 
 Tags:
 
 NLP@Google
 Statistical machine translation
 
 2005-05-31 About
 - Pix2Struct
 
 Niels Rogge sur Twitter : "Made some new demo notebooks! - fine-tune @MetaAI's SAM and @GoogleAI's Pix2Struct on custom data"
 
 Tags:
 
 Fine-tuning
 Niels Rogge
 Pix2Struct
 Sample code
 Tweet
 
 2023-05-09 About
 
 Niels Rogge sur Twitter : "@GoogleAI's Pix2Struct now available in 🤗 Transformers!"
 
 Tags:
 
 AI@Google
 Document AI
 Niels Rogge
 Pix2Struct
 Tweet
 
 > A Transformer (vision encoder, language decoder). No OCR involved!. Pre-trained in a self-supervised fashion by predicting HTML based on masked portions of web page images. > Pix2Struct has been fine tuned on a variety of tasks and datasets, ranging from image captioning, visual question answering (VQA) over different inputs (books, charts, science diagrams), captioning UI components etc. ... We therefore advise you to use these models for the tasks they have been fine tuned on. > very similar to GPT-4's visual abilities, but open-source ;)
 
 2023-03-27 About
 - Reformer
 
 Google AI Blog: Reformer: The Efficient Transformer
 
 Tags:
 
 Google AI Blog
 Reformer
 
 2020-12-09 About
 
 Patrick von Platen sur Twitter : "Today, @huggingface is the start of our Reformer series..."
 
 Tags:
 
 Hugging Face
 Reformer
 Tweet
 
 2020-06-29 About
 
 [2001.04451] Reformer: The Efficient Transformer
 
 Tags:
 
 Arxiv Doc
 Google Research
 Reformer
 
 2020-06-29 About
 - TensorFlow
 Tensor2Tensor
 
 Training Cutting-Edge Neural Networks with Tensor2Tensor and 10 lines of code
 
 Tags:
 
 Tensor2Tensor
 
 2019-01-21 About
 
 TensorFlow 2.0
 
 François Chollet sur Twitter : a crash course on everything you need to know to use TensorFlow 2.0 + Keras
 
 Tags:
 
 François Chollet
 Keras
 TensorFlow 2.0
 
 2019-03-12 About
 
 Santiago sur Twitter : "If you have an Apple M1 or M2 and don't take advantage of its GPU, I'm about to change your life..."
 
 Tags:
 
 Apple M1/M2
 Howto
 TensorFlow
 Tweet
 
 > These instructions allow TensorFlow to use your GPU
 
 2022-10-07 About
 
 Building a Search Engine with BERT and TensorFlow - Towards Data Science
 
 Tags:
 
 BERT
 Nearest neighbor search
 NLP and Search
 Search Engines
 TensorFlow
 
 [somewhat related](/doc/2020/01/elasticsearch_meets_bert_build)
 
 2020-01-12 About
 
 Introducing Neural Structured Learning in TensorFlow
 
 Tags:
 
 Graphs+Machine Learning
 TensorFlow
 
 Neural Structured Learning (NSL) is an open source framework for training deep neural networks with structured signals. It implements Neural Graph Learning, which enables developers to train neural networks using graphs.
 
 2019-09-03 About
 
 TensorFlow: how to load and save models at every epoch so you never lose time or data.
 
 Tags:
 
 Dev tips
 TensorFlow
 
 2018-10-26 About
 
 TensorFlow.js
 
 Tags:
 
 JavaScript
 TensorFlow
 
 2018-10-10 About
 
 Training on TPU
 
 Tags:
 
 Keras
 Sample code
 TensorFlow
 TPU
 
 2018-10-05 About
 
 For what tasks is Pytorch preferable to Tensorflow? - Quora
 
 Tags:
 
 PyTorch
 TensorFlow
 
 2018-08-28 About
 
 What is Candidate Sampling
 
 Tags:
 
 Candidate Sampling
 TensorFlow
 
 2018-07-07 About
 
 Cloud TPU – Accélérateurs de ML pour TensorFlow | Google Cloud
 
 Tags:
 
 http://www.semanlink.net/tag/google_cloud
 TensorFlow
 
 2018-05-31 About
 
 Module google/universal-sentence-encoder | TensorFlow
 
 Tags:
 
 EMNLP 2018
 Google Research
 NLP@Google
 Sentence Embeddings
 TensorFlow
 
 [Paper presented at EMNLP 2018](https://aclanthology.coli.uni-saarland.de/papers/D18-2029/d18-2029)
 
 2018-05-23 About
 
 Testing Tensorflow code
 
 Tags:
 
 Guillaume Genthial
 TensorFlow
 Unit test
 
 2018-05-21 About
 
 How to use Dataset in TensorFlow – Towards Data Science
 
 Tags:
 
 TensorFlow
 Tutorial
 
 2018-04-21 About
 
 Text Classification with TensorFlow Estimators
 
 Tags:
 
 Sebastian Ruder
 TensorFlow
 Text Classification
 
 2018-04-17 About
 
 Codes of Interest: Using Bottleneck Features for Multi-Class Classification in Keras and TensorFlow
 
 Tags:
 
 Image classification
 Keras
 Multi-label classification
 TensorFlow
 Transfer learning
 
 2018-03-04 About
 
 GitHub - tensorflow/models: Models and examples built with TensorFlow
 
 Tags:
 
 GitHub project
 Sample code
 TensorFlow
 
 2018-02-28 About
 
 Implementing a CNN for Text Classification in TensorFlow – WildML
 
 Tags:
 
 CNN 4 NLP
 Denny Britz
 NLP sample code
 TensorFlow
 Text Classification
 
 2017-11-06 About
 
 Recurrent neural networks and LSTM tutorial in Python and TensorFlow - Adventures in Machine Learning
 
 Tags:
 
 LSTM
 Recurrent neural network
 TensorFlow
 Tutorial
 
 2017-10-23 About
 
 Installing TensorFlow on Mac OS X | TensorFlow
 
 Tags:
 
 TensorFlow
 
 2017-10-23 About
 
 Tensorflow sucks
 
 Tags:
 
 PyTorch
 TensorFlow
 
 see [What do people think of the TensorFlow sucks article? on Quora](https://www.quora.com/What-do-people-think-of-the-TensorFlow-sucks-article)
 
 2017-10-16 About
 
 TensorFlow Neural Machine Translation (seq2seq) Tutorial
 
 Tags:
 
 Neural machine translation
 TensorFlow
 Tutorial
 
 2017-09-18 About
 
 Vector Representations of Words | TensorFlow
 
 Tags:
 
 TensorFlow
 Tutorial
 Word2vec
 Word embeddings
 
 2017-08-28 About
 
 Understanding neural networks with TensorFlow Playground | Google Cloud Big Data and Machine Learning Blog | Google Cloud Platform
 
 Tags:
 
 Neural networks
 TensorFlow
 
 2016-07-27 About
 
 Mini AI app using TensorFlow and Shiny – Opiate for the masses
 
 Tags:
 
 R
 TensorFlow
 
 2016-01-15 About
 
 TensorFlow is Terrific – A Sober Take on Deep Learning Acceleration
 
 Tags:
 
 TensorFlow
 
 2016-01-07 About
 
 Simple end-to-end TensorFlow examples | Bcomposes
 
 Tags:
 
 TensorFlow
 Tutorial
 
 2015-12-21 About
 
 Research Blog: TensorFlow - Google’s latest machine learning system, open sourced for everyone
 
 Tags:
 
 TensorFlow
 
 2015-11-09 About
 
 TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
 
 Tags:
 
 TensorFlow
 
 2015-11-09 About
 - VertexAI
 Google Document AI
 
 Document AI | Google for Developers - Software Development Guides, Tools & More | Google Developers
 
 Tags:
 
 Google dev
 Google Document AI
 
 2023-05-09 About
 
 Generative AI support on Vertex AI generally available | Google Cloud Blog
 
 Tags:
 
 Generative AI
 Google Cloud Platform
 NLP@Google
 VertexAI
 
 2023-06-09 About
 
 Enabling Python VirtualEnv in JupyterLab | My Shitty Code
 
 Tags:
 
 Jupyter
 VertexAI
 
 2023-03-08 About
 
 Créer un notebook JupyterLab Vertex AI | Google Cloud
 
 Tags:
 
 VertexAI
 
 2023-01-31 About
 
 5 steps to go from a notebook to a deployed model — The TensorFlow Blog
 
 Tags:
 
 Jupyter
 VertexAI
 
 > how to get from notebook experimentation to deployment in the cloud **notebook execution feature**: run the notebook cell by cell on the Vertex AI managed training service. When you launch the training job, it’s going to run on a machine you won’t have access to after the job completes -> have to save to a bucket Launch the execution: Select the Execute button, give your execution a name, **then add a GPU**. > Now you know how to quickly launch serverless training jobs on Google Cloud - **Deploy to an endpoint** - or use the **batch prediction feature** (if your use case does not require low latency predictions) Get predictions > Now that this model is deployed to an endpoint, you can hit it like any other REST endpoint
 
 2023-01-31 About
 - Android
 - AngularJS
 - Bigtable
 - Chrome
 - Chrome extension
 
 ArxivGPT - Chrome Web Store
 
 Tags:
 
 Arxiv
 Chrome extension
 GPT use-case
 OpenAI GPT
 
 ArxivGPT is a Google Chrome plug-in that helps you quickly understand the content of arXiv papers
 
 2023-04-27 About
 
 dicksontsai/stanford-nlp-local-extension: Chrome extension for sending content to localhost server running Stanford NLP tools.
 
 Tags:
 
 Chrome extension
 GitHub project
 Sample code
 Servlet
 Stanford POS Tagger
 
 2020-07-03 About
 
 GitHub - ijkilchenko/Fuzbal: Chrome extension: Gives Ctrl+F like find results which include non-exact (fuzzy) matches using string edit-distance and GloVe/Word2Vec. Also searches by regular expressions.
 
 Tags:
 
 Chrome extension
 Using word embeddings
 
 2018-03-29 About
 - Doc by Google
 - Dremel
 - Eric Schmidt
 - Google: SEO
 - Google Rich Snippets
 
 Google Product Rich Snippets for Multiple Products on a Page | The Hepp Research Blog on Marketing with Data
 
 Tags:
 
 Google Rich Snippets
 Martin Hepp
 schema.org
 
 2015-07-09 About
 
 Google Structured Data Testing Tool
 
 Tags:
 
 Google Rich Snippets
 schema.org
 Validator
 Webmasters @ Google
 
 2013-06-13 About
 
 RDFa format data: what is its impact and when should you implement?
 
 Tags:
 
 Google Rich Snippets
 RDFa
 
 2013-01-30 About
 
 Why is Google not showing rich snippets for my pages? - GoodRelations Wiki
 
 Tags:
 
 GoodRelations
 Google Rich Snippets
 Wiki
 
 2012-10-15 About
 
 Rich snippets - Products
 
 Tags:
 
 Google Rich Snippets
 Product description
 
 2012-04-25 About
 
 Google Author Rich Snippets | Internet Alchemy
 
 Tags:
 
 Google Rich Snippets
 Ian Davis
 
 2011-08-22 About
 
 Marking up products for rich snippets
 
 Tags:
 
 Google Rich Snippets
 
 2011-02-09 About
 
 Rich snippets: Shopping and products
 
 Tags:
 
 Google Rich Snippets
 
 2011-02-09 About
 
 goodrelations-based rich snippet example in google query - Semantic Overflow
 
 Tags:
 
 GoodRelations
 Google Rich Snippets
 Semantic Overflow
 
 2011-02-09 About
 
 Rich snippets (microdata, microformats, RDFa)
 
 Tags:
 
 Google Rich Snippets
 
 2011-02-09 About
 
 Official Google Webmaster Central Blog: Introducing Rich Snippets - Welcome Google, really.
 
 Tags:
 
 fps' post
 Google Rich Snippets
 
 It looks like "Welcome Google, really" is (was) not in Google's index.
 
 2009-05-14 About
 
 Official Google Webmaster Central Blog: Introducing Rich Snippets
 
 Tags:
 
 Google Rich Snippets
 Guha
 
 2009-05-13 About
 - Google Structured Data Testing Tool
 
 category:structured-data jsonld (in Webmaster Central Help Forum) - Google Product Forums
 
 Tags:
 
 Google Structured Data Testing Tool
 JSON-LD
 
 2017-09-26 About
 
 Re: Google Structured Data Testing Tool fails on valid JSON-LD from Dan Brickley on 2016-04-07 (public-schemaorg@w3.org from April 2016)
 
 Tags:
 
 Dan Brickley
 Google Structured Data Testing Tool
 JSON-LD
 Martynas Jusevicius
 
 > The Google Structured Data Testing Tool in its current incarnation is largely oriented towards vocabulary that Google understands, even though it is perfectly harmless to include other information in your structured data
 
 2017-09-26 About
 - Google + Advertising
 - AdSense
 
 Something Rotten in AdSense
 
 Tags:
 
 AdSense
 Aggregators
 Fake Blogs
 Google ranking
 Publicité Internet
 Zombie PCs
 
 2005-10-27 About
 - Jedi Blue
 
 Project NERA: State Attorneys General claim Google is planning to turn the internet into a "walled garden" - MSPoweruser
 
 Tags:
 
 Google
 Google + Advertising
 Jedi Blue
 
 2021-10-25 About
 
 fasterthanlime 🌌 sur Twitter : google has a secret deal with facebook called "Jedi Blue"
 
 Tags:
 
 DeleteFB
 Facebook
 Google
 Google + Advertising
 Jedi Blue
 Tweet
 
 > Ok so, I just read through all 173 pages of the unredacted Google antitrust filing and I have to say that either Google is screwed or society is screwed, we'll find out which.
 
 2021-10-25 About
 - Google App Engine
 - Google car
 - Google Cloud Platform
 - BigQuery
 
 Google AI Blog: Machine Learning in Google BigQuery (2018)
 
 Tags:
 
 BigQuery
 
 > **BigQuery ML**, a capability inside BigQuery that allows to build and deploy machine learning models on massive structured or semi-structured datasets > because the core components of gradient descent can be implemented using common SQL operation, we were able to repurpose the existing BigQuery SQL processing engine for BigQuery ML. - Paper (2017): [SQML: large-scale in-database machine learning with pure SQL](https://dl.acm.org/citation.cfm?doid=3127479.3132746) - [User guide](https://cloud.google.com/bigquery/docs/bigqueryml-intro)
 
 2019-02-19 About
 
 Programmatic Patent Searches Using Google’s BigQuery & Public Patent Data
 
 Tags:
 
 BigQuery
 Google Patents
 
 2019-02-19 About
 - VertexAI
 
 Generative AI support on Vertex AI generally available | Google Cloud Blog
 
 Tags:
 
 Generative AI
 Google Cloud Platform
 NLP@Google
 VertexAI
 
 2023-06-09 About
 
 Tutorial: VS Code with Google Cloud AI Platform as a backend | by Kyle Ziegler | Medium
 
 Tags:
 
 Google Cloud Platform
 Tutorial
 VS Code
 
 2023-03-21 About
 
 Viacheslav Kovalevskyi – Medium
 
 Tags:
 
 Google Cloud Platform
 
 cf. [Deep Learning Images For Google Compute Engine, The Definitive Guide | by Viacheslav Kovalevskyi](doc:2022/01/deep_learning_images_for_google)
 
 2022-01-22 About
 
 Conteneurs de deep learning | Google Cloud
 
 Tags:
 
 Google Cloud Platform
 
 2022-01-22 About
 
 Vertex AI Workbench | Google Cloud
 
 Tags:
 
 Google Cloud Platform
 
 2022-01-22 About
 
 Deep Learning Images For Google Compute Engine, The Definitive Guide | by Viacheslav Kovalevskyi
 
 Tags:
 
 Google Cloud Platform
 
 had been useful to me when creating VMs for deep learning some years ago
 
 2022-01-22 About
 
 Colab+GCP Compute — how to link them together | by Gautham Senthilnathan | Medium
 
 Tags:
 
 Google Cloud Platform
 Google Colab
 
 2022-01-14 About
 
 Détecter le texte dans les fichiers (PDF/TIFF) | API Cloud Vision
 
 Tags:
 
 Google Cloud Platform
 http://www.semanlink.net/tag/pdf_extract
 OCR
 
 2020-06-15 About
 
 Building a real-time embeddings similarity matching system | Solutions | Google Cloud
 
 Tags:
 
 Approximate nearest-neighbor
 Doc by Google
 Good
 Google Cloud Platform
 Nearest neighbor search
 Sample code
 Similarity queries / Vector search
 Text Similarity
 
 - an overview of approximate similarity matching - an end-to-end example solution for performing real-time text semantic search
 
 2020-01-11 About
 
 GCP and Fast Ai v1: A full setup that’ll work – mc.ai
 
 Tags:
 
 fast.ai
 Google Cloud Platform
 
 2019-05-03 About
 
 DeepLearning Images Revision M13/14. PyTorch 1.0. Git Integration. Smaller Boot Time.
 
 Tags:
 
 fast.ai
 Google Cloud Platform
 PyTorch
 
 2018-12-12 About
 
 GCP | fast.ai course v3
 
 Tags:
 
 fast.ai
 Google Cloud Platform
 
 2018-12-05 About
 
 Deploy Your First Deep Learning Model On Kubernetes With Python, Keras, Flask, and Docker
 
 Tags:
 
 Docker
 Docker-Python
 Flask
 Google Cloud Platform
 Keras
 Kubernetes
 
 2018-10-07 About
 
 Cloud Datalab – Outil interactif d'analyse de données | Google Cloud
 
 Tags:
 
 Google Cloud Platform
 
 2018-08-22 About
 
 How to get started with GCP | Google Cloud Platform
 
 Tags:
 
 Google Cloud Platform
 Tutorial
 
 2017-07-12 About
 - Google dev
 - Google Fusion Tables
 - Google Groups
 - Google Hummingbird
 - Google Knowledge Graph
 - Google Looker Studio
 - Google Maps
 - Google Patents
 - Google Play
 - GooglePlus
 - Google ranking
 - PageRank
 
 Linking Entities with Knowledge Graphs | by Sigurd Berglann | Strise | Medium
 
 Tags:
 
 Entity linking
 Knowledge Graphs
 PageRank
 Random walk
 
 2021-02-05 About
 
 Article recommendation with Personalized PageRank and Full Text Search
 
 Tags:
 
 Neo4j
 PageRank
 Recommender Systems
 
 2019-02-28 About
 
 #PageRank-based #Wikidata autocomplete powered by #Apache #Solr
 
 Tags:
 
 PageRank
 Solr
 Solr - autocomplete
 Wikidata
 
 2017-10-21 About
 - Google Refine
 - Google Research
 - Google Colab
 
 Colab+GCP Compute — how to link them together | by Gautham Senthilnathan | Medium
 
 Tags:
 
 Google Cloud Platform
 Google Colab
 
 2022-01-14 About
 
 Transformers Pipelines.ipynb - Colaboratory
 
 Tags:
 
 Google Colab
 huggingface / transformers
 Sample code
 
 > One of the easiest ways to get started with neural networks is by loading pre-trained neural networks through the HuggingFace Transformers pipeline interface
 
 2021-05-26 About
 
 Run NLP Experiments using the Feedly API.ipynb - Colaboratory
 
 Tags:
 
 Feedly
 Google Colab
 Machine learning
 NLP
 
 Colaboratory notebook that shows how you can apply ML and NLP to the content of your own @feedly feeds.
 
 2019-01-29 About
 
 Fast.ai with Google Colab
 
 Tags:
 
 fast.ai
 Google Colab
 
 2018-12-02 About
 
 Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python - Analytics Vidhya
 
 Tags:
 
 fast.ai
 Google Colab
 Text Classification
 Tutorial
 ULMFiT
 
 2018-12-01 About
 
 Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch
 
 Tags:
 
 Google Colab
 
 2018-05-31 About
 
 Colaboratory
 
 Tags:
 
 Google Colab
 
 2018-05-31 About
 - TensorFlow
 - Wikilinks Corpus
 
 Wikilinks - Information Extraction and Synthesis Laboratory
 
 Tags:
 
 Wikilinks Corpus
 
 2013-03-12 About
 
 Learning from Big Data: 40 Million Entities in Context
 
 Tags:
 
 Wikilinks Corpus
 
 2013-03-12 About
 - Google Rich Cards
 - Google Rich Snippets
 - Google Spreadsheets
 - Google sucks
 - GoogleTechTalks
 - Google über alles
 - Google Visualization API
 - Google Web Toolkit
 - OwlSight
 
 GRDDL in OwlSight | Thinking Clearly
 
 Tags:
 
 GRDDL
 OwlSight
 
 2008-04-11 About
 - Googling
 - Jedi Blue
 - Knowledge Vault
 - Webmasters @ Google
- HTML
 - HTML5
 - DRM in HTML 5
 Encrypted Media Extensions
 
 On EME in HTML5 | W3C Blog
 
 Tags:
 
 DRM in HTML 5
 Encrypted Media Extensions
 Tim Berners-Lee
 
 2017-02-28 About
 
 On EME in HTML5 | W3C Blog
 
 Tags:
 
 DRM in HTML 5
 EME
 Tim Berners-Lee
 
 2017-04-02 About
 
 On EME in HTML5 | W3C Blog
 
 Tags:
 
 DRM in HTML 5
 Encrypted Media Extensions
 Tim Berners-Lee
 
 2017-02-28 About
 
 What I wish Tim Berners-Lee understood about DRM | Technology | The Guardian
 
 Tags:
 
 DRM
 DRM in HTML 5
 DVD
 Tim Berners-Lee
 
 2016-09-17 About
 
 Free Culture Foundation » Blog Archive » Don’t let the myths fool you: the W3C’s plan for DRM in HTML5 is a betrayal to all Web users.
 
 Tags:
 
 DRM in HTML 5
 
 2013-04-27 About
 
 DRM in HTML5 | The Beautiful, Tormented Machine
 
 Tags:
 
 DRM in HTML 5
 Manu Sporny
 
 2013-04-27 About
 - HTML Dev
 - Forms
 RDF forms
 
 Forms to direct interaction with Linked Data Platform APIs
 
 Tags:
 
 RDF forms
 
 2015-02-18 About
 
 Re: TPF and DBMSes (was Re: Hydra and Shapes) from Ruben Verborgh on 2014-11-26 (public-hydra@w3.org from November 2014)
 
 Tags:
 
 Hydra
 Linked Data Fragments
 RDF forms
 
 Triple Pattern Fragments are just the Linked Data principles, but instead of only hyperlinks, it's hyperlinks and forms, like the rest of the Web
 
 2014-11-26 About
 
 forms, direction, query, etc … from Roger Menday on 2012-11-19 (public-ldp-wg@w3.org from November 2012)
 
 Tags:
 
 Henry Story
 RDF forms
 
 RDF forms based on SPARQL
 
 2014-09-11 About
 
 Possible way to provide POSTable URI in RDF
 
 Tags:
 
 Jeni Tennison
 Leigh Dodds
 RDF forms
 URI Template
 
 2014-09-08 About
 
 URIs within URIs from Luca Matteis on 2014-08-22 (public-lod@w3.org from August 2014)
 
 Tags:
 
 public-vocabs@w3.org
 RDF forms
 URIs within URIs
 
 2014-08-30 About
 
 Web Finger proposals overview (The Sun BabelFish Blog)
 
 Tags:
 
 Henry Story
 RDF forms
 
 2012-03-01 About
 
 RDForms - representing HTML form and field semantics | DERI Vocabularies
 
 Tags:
 
 RDF forms
 
 2011-08-28 About
 
 PushBackDataToLegacySourcesRDForms - ESW Wiki
 
 Tags:
 
 RDF forms
 
 This note describes the so called RDForms, a vocabulary and a protocol based on HTML forms and key/value pairs (KVP) to enable the write-back of RDF diffs to a RDF wrapper used in pushback
 
 2010-05-12 About
 
 Web Finger proposals overview
 
 Tags:
 
 Henry Story
 RDF forms
 
 2010-01-20 About
 
 Linking Enterprise Data
 
 Tags:
 
 fps: paper
 fps AND LDOW2008
 Linking Enterprise Data
 RDF forms
 Semantic Enterprise
 
 My paper at LDOW2008
 
 2008-05-08 About
 
 Semantic Web Interest Group IRC Chat Logs for 2007-07-04
 
 Tags:
 
 RDF forms
 
 2008-05-08 About
 
 Bill de hÓra: Automated mapping between RDF and forms, part I
 
 Tags:
 
 Bill de hÓra
 RDF forms
 
 2007-11-12 About
 
 SPARQLing AltaVista: the meaning of forms
 
 Tags:
 
 AltaVista
 Henry Story
 RDF forms
 SPARQL
 
 The AltaVista engineers developed a clever mapping between html forms and SPARQL queries.
 
 2007-08-23 About
 
 Restful semantic web services
 
 Tags:
 
 Henry Story
 RDF forms
 Restful semantic web services
 SPARQL
 
 2007-07-04 About
 
 RDF Forms
 
 Tags:
 
 RDF forms
 
 2007-03-20 About
 
 [Linking-open-data] Re: Forms in the web of data (Richard Cyganiak)
 
 Tags:
 
 Good
 Linked Data
 RDF forms
 Richard Cyganiak
 
 2007-03-20 About
 
 [Linking-open-data] Forms in the web of data
 
 Tags:
 
 fps' post
 Linked Data
 LOD mailing list
 RDF forms
 
 Beside "href" links, forms are an important feature of the hypertext web. How does this transpose to the web of data? Shouldn't there be a standardized way to "include forms" in RDF data?
 
 2007-03-20 About
 
 Build a CMS, no forms allowed
 
 Tags:
 
 CMS
 Forms
 Henri Bergius
 IKS Workshop Salzburg 2012
 
 2012-07-10 About
 
 Official Google Webmaster Central Blog: Crawling through HTML forms
 
 Tags:
 
 Forms
 Google
 
 When we encounter a FORM element on a high-quality site, we might choose to do a small number of queries using the form. For text boxes, our computers automatically choose words from the site that has the form...Only a small number of particularly useful sites receive this treatment, and our crawl agent, the ever-friendly Googlebot, always adheres to robots.txt, nofollow, and noindex directives. That means that if a search form is forbidden in robots.txt, we won't crawl any of the URLs that a form would generate.
 
 2008-09-02 About
 
 Picment.com » Articles » CSS » Fun with forms – customized input elements
 
 Tags:
 
 css
 Forms
 Sample code
 
 2008-06-02 About
 
 10 CSS Form Examples | Design Shack
 
 Tags:
 
 css
 Forms
 Sample code
 
 2008-06-02 About
 - HTML parsing
 
 langchain sur Twitter : "parsing HTML is not fun... @UnstructuredIO + OpenAI functions for extracting structured info from webpages"
 
 Tags:
 
 HTML parsing
 LangChain
 Tweet
 
 2023-06-29 About
 
 Removing HTML from a Java String - Stack Overflow
 
 Tags:
 
 HTML parsing
 Java
 Java dev
 Stack Overflow
 
 2013-08-20 About
 
 Prevent cross site scripting with jsoup
 
 Tags:
 
 HTML parsing
 XSS
 
 You want to allow untrusted users to supply HTML for output on your website (e.g. as comment submission). You need to clean this HTML to avoid cross-site scripting (XSS) attacks.
 
 2013-08-20 About
 
 TagSoup home page
 
 Tags:
 
 HTML parsing
 Java dev
 
 a SAX-compliant parser written in Java that, instead of parsing well-formed or valid XML, parses HTML as it is found in the wild
 
 2008-05-08 About
 
 TagSoup
 
 Tags:
 
 HTML parsing
 Tools
 
 SAX-compliant parser written in Java that, instead of parsing well-formed or valid XML, parses HTML as it is found in the wild: poor, nasty and brutish. By providing a SAX interface, it allows standard XML tools to be applied to even the worst HTML. Free and Open Source software, licensed under the Academic Free License
 
 2007-01-24 About
 
 Create intelligent Web spiders
 
 Tags:
 
 HTML parsing
 Java dev
 
 2005-05-04 About
 
 http://htmlparser.sourceforge.net
 
 Tags:
 
 HTML parsing
 
 2005-03-05 About
 
 The Swing HTML Parser - Parsing a Netscape Navigator Bookmarks File
 
 Tags:
 
 HTML parsing
 Swing
 
 2005-03-05 About
 
 http://java-source.net/open-source/html-parsers
 
 Tags:
 
 HTML parsing
 Java
 
 2005-03-05 About
 - HTML Editor
 - Semantic markup in HTML
- HTTP
 - Apache web server
 - Apache on my mac
 
 Install and configure Apache, MySQL, PHP on OSX 10.8 Mountain Lion
 
 Tags:
 
 Apache on my mac
 Mac OS X 10.8
 Mac OS X Web serving
 
 2012-11-05 About
 - Integrating Tomcat with Apache
 
 How do I redirect from Apache to Tomcat?
 
 Tags:
 
 Integrating Tomcat with Apache
 
 2012-03-02 About
 - Content negotiation
 - HTTP Cache
 - Jersey Cache-Control
 
 http - EntityTag - Value, Caching, Comparison - how to in Jersey - Stack Overflow
 
 Tags:
 
 Jersey Cache-Control
 Stack Overflow
 
 2017-04-11 About
 
 rest - HTTP content negotiation conflicts in JAX-RS/Jersey? - Stack Overflow
 
 Tags:
 
 Jersey Cache-Control
 
 2016-04-01 About
 
 Implementing ETag Caching with Jersey
 
 Tags:
 
 Jersey Cache-Control
 
 2015-05-14 About
 
 HTTP Caching in Java with JAX-RS | Heroku Dev Center
 
 Tags:
 
 JAX-RS
 Jersey Cache-Control
 
 2015-05-14 About
 
 java - Jersey: Default Cache Control to no-cache - Stack Overflow
 
 Tags:
 
 Annotations (java)
 Jersey Cache-Control
 Stack Overflow
 
 Cache-Control Using Annotations With Jersey
 
 2015-05-14 About
 
 Cache-Control using annotations with Jersey - LexTech
 
 Tags:
 
 Jersey Cache-Control
 
 2015-02-11 About
 
 JAX-RS RESTEasy Cache control with ETag example - How To Do In Java
 
 Tags:
 
 Cache
 JAX-RS
 Jersey Cache-Control
 
 2015-02-11 About
 - Vary Header
 
 Best Practices for Using the Vary Header | Fastly
 
 Tags:
 
 Vary Header
 
 2016-04-01 About
 
 Bizcoder - The Insanity of the Vary Header
 
 Tags:
 
 Vary Header
 
 encoding
 
 2016-03-30 About
 
 Vary with Care | IEInternals
 
 Tags:
 
 Internet Explorer
 Vary Header
 
 2016-03-29 About
 
 The browser cache is Vary broken - JakeArchibald.com
 
 Tags:
 
 Brouteur
 Cache
 HTTP Cache
 Vary Header
 
 2016-03-29 About
 
 Best Practices for Using the Vary Header | Fastly - The Next Gen CDN
 
 Tags:
 
 Vary Header
 
 2015-05-14 About
 
 ajax - Content negotiation ignored when using browser Back button - Stack Overflow
 
 Tags:
 
 Browser : back button
 Content negotiation
 HTTP Cache
 Stack Overflow
 Vary Header
 
 2015-05-14 About
 - HTTP PATCH
 - LD-PATCH
 
 Linked Data Patch Format
 
 Tags:
 
 LD-PATCH
 
 W3C Candidate Recommendation 03 March 2015
 
 2015-03-05 About
 
 Why LD-PATCH (Alexandre Bertails)
 
 Tags:
 
 Alexandre Bertails
 LD-PATCH
 
 2014-09-25 About
 
 Linked Data Patch Format
 
 Tags:
 
 HTTP PATCH
 LD-PATCH
 
 2014-09-22 About
 - httpRange-14
 - Hash URIs
 Hash-bang URIs
 
 Hash URIs | W3C Blog
 
 Tags:
 
 Hash-bang URIs
 Hash URIs
 Jeni Tennison
 W3C
 
 2020-11-07 About
 
 Hash URIs | Jeni's Musings
 
 Tags:
 
 Hash-bang URIs
 Jeni Tennison
 
 2011-08-11 About
 
 Making AJAX Applications Crawlable - Google Code
 
 Tags:
 
 Ajax applications
 Google
 Hash-bang URIs
 
 2011-08-11 About
 
 Hash URIs | W3C Blog
 
 Tags:
 
 Hash-bang URIs
 Hash URIs
 Jeni Tennison
 W3C
 
 2020-11-07 About
 
 Repurposing the Hash Sign for the New Web
 
 Tags:
 
 Hash URIs
 W3C Working Draft
 
 2011-08-11 About
 
 dowhatimean.net » Content negotiation with hash URIs (long)
 
 Tags:
 
 Hash URIs
 Richard Cyganiak
 
 2007-04-03 About
 
 Cool URIs for the Semantic Web
 
 Tags:
 
 Hash URIs
 httpRange-14
 httpRange-14 (solution)
 Leo Sauermann
 Richard Cyganiak
 
 303 URIs and hash URIs
 
 2007-04-03 About
 - httpRange-14 (solution)
 
 Cool URIs for the Semantic Web
 
 Tags:
 
 Hash URIs
 httpRange-14
 httpRange-14 (solution)
 Leo Sauermann
 Richard Cyganiak
 
 303 URIs and hash URIs
 
 2007-04-03 About
 
 HTTP behaviour for SKOS Concepts from Miles, AJ $Alistair$ on 2005-06-21 (public-esw-thes@w3.org from June 2005)
 
 Tags:
 
 httpRange-14 (solution)
 SKOS
 
 2007-01-03 About
 
 [httpRange-14] Resolved from Roy T. Fielding on 2005-06-19 (www-tag@w3.org from June 2005)
 
 Tags:
 
 httpRange-14 (solution)
 Roy T. Fielding
 
 we provide advice to the community that they may mint "http" URIs for any resource provided that they follow this simple rule for the sake of removing ambiguity: a) If an "http" resource responds to a GET request with a 2xx response, then the resource identified by that URI is an information resource; b) If an "http" resource responds to a GET request with a 303 (See Other) response, then the resource identified by that URI could be any resource; c) If an "http" resource responds to a GET request with a 4xx (error) response, then the nature of the resource is unknown.
 
 2007-01-02 About
 
 Best Practice Recipes for Publishing RDF Vocabularies
 
 Tags:
 
 Howto
 httpRange-14 (solution)
 Linked Data
 Publishing RDF Vocabularies
 W3C Working Draft
 
 This document describes best practice recipes for publishing an RDFS or OWL vocabulary or ontology on the Web. The features of each recipe are clearly described, so that vocabulary or ontology creators may choose the recipe best suited to the needs of their particular situations. Each recipe contains an example configuration for use with an Apache HTTP server, although the principles involved may be adapted to other environments. The recipes are all designed to be consistent with the architecture of the Web as currently specified.
 
 2006-03-14 About
 - HTTP Redirect
 - Vary Header
 Google and HTTP
 
 Tags:
 
 Abuse of power
 Dave Winer
 Google
 HTTP
 
 > Google’s not secure message means this: “Google tried to take control of the open web and this site said no.”
 
 2020-03-08 About
 POST vs. PUT : la confusion | Blog Xebia - Cabinet de conseil IT
 
 Tags:
 
 HTTP
 
 2017-04-27 About
 rest - HTTP GET with request body - Stack Overflow
 
 Tags:
 
 HTTP
 REST
 Stack Overflow
 
 2017-04-27 About
 Mokka mit Schlag » POST vs. PUT
 
 Tags:
 
 Elliotte Rusty Harold
 HTTP
 REST
 
 2012-07-12 About
 HTTP Conditional Get for RSS Hackers - The Fishbowl
 
 Tags:
 
 HTTP
 RSS
 
 2008-09-19 About
 Redirect After Post
 
 Tags:
 
 HTTP
 Java dev
 Web dev
 
 2007-01-07 About
- Internet en Afrique
- Internet of Things
- Internet regulation
- Internet Related Technologies
 - JSP
 - Struts
 
 Ajax using XMLHttpRequest and Struts
 
 Tags:
 
 Ajax
 Howto
 Struts
 
 2005-05-20 About
 - Peer to peer
 - Bitcoin
 
 Coinbase licencie en masse pour se tirer du naufrage des cryptomonnaies
 
 Tags:
 
 Bitcoin
 Cryptocurrency
 Electricité
 
 > Une certitude semble s’imposer : ce monde [des crypto-monnaies] sera régulé et de plus en plus basé aux Etats-Unis, pas dans des nations lointaines ou des confettis off-shore. Mais, au fond, quel est son intérêt ? Le mystère n’est pas complètement résolu.
 
 2023-01-10 About
 
 Derrière la panne géante d’électricité qui a paralysé l’Asie centrale, un système vétuste et les cryptomonnaies
 
 Tags:
 
 Asie centrale
 Bitcoin
 Electricité
 
 et aussi la sécheresse. Sur fond de lobbying russe pour le nucléaire
 
 2022-02-03 About
 
 Patrick Artus : « L’économie de spéculation est inefficace »
 
 Tags:
 
 Bitcoin
 Economie
 Spéculation
 
 La faiblesse des rendements des actifs traditionnels pousse les investisseurs à choisir des actifs spéculatifs, au détriment de l’économie productive
 
 2021-10-03 About
 
 The Bitcoin network at risk – François Chollet
 
 Tags:
 
 Bitcoin
 François Chollet
 
 2018-11-26 About
 
 I, Cringely Prediction #4 — Bitcoin stays crazy until traders learn it is not a currency
 
 Tags:
 
 Bitcoin
 Cryptocurrency
 
 2018-02-23 About
 
 Introduction to Learning to Trade with Reinforcement Learning – WildML
 
 Tags:
 
 Bitcoin
 Bourse
 Denny Britz
 Reinforcement learning
 
 2018-02-11 About
 
 I am a time-traveler from the future, here to beg you to stop what you are doing. : Bitcoin
 
 Tags:
 
 Anticipation
 Bitcoin
 
 2018-01-21 About
 
 PAUL KRUGMAN: Bitcoin is a more obvious bubble than housing was
 
 Tags:
 
 Bitcoin
 Paul Krugman
 
 2017-12-18 About
 
 The Hard Math Behind Bitcoin's Global Warming Problem | WIRED
 
 Tags:
 
 Bitcoin
 
 “Had bitcoin been mined by doing something useful, then there would be a correspondence between useful work and the number of bitcoins you get … That creates a mental anchor point in people’s mind for how much a bitcoin should cost.”
 
 2017-12-17 About
 
 La Blockchain, au-delà du Bitcoin – Framablog
 
 Tags:
 
 Bitcoin
 Blockchain
 
 2016-02-01 About
 
 The resolution of the Bitcoin experiment — Medium
 
 Tags:
 
 Bitcoin
 
 Mike Hearn
 
 2016-01-16 About
 
 The Decentralist Perspective, or Why Bitcoin Might Need Small Blocks – Bitcoin Magazine
 
 Tags:
 
 Bitcoin
 
 2015-09-14 About
 
 La Blockchain et l’émergence des « distributed consensus engines »
 
 Tags:
 
 Bitcoin
 Blockchain
 Christian Fauré
 
 l’avènement d’un réseau décentralisé de transaction
 
 2015-09-13 About
 
 Contrary to Mt. Gox’s Statement, Bitcoin is not at fault - Bitcoin Foundation: Blog
 
 Tags:
 
 Bitcoin
 
 2014-03-02 About
 
 Mike Tsao puts the fun back in defunct. — Ten Things I Believe About Bitcoin
 
 Tags:
 
 Bitcoin
 Fun
 
 2014-02-01 About
 
 Why I’m interested in Bitcoin - Chris Dixon
 
 Tags:
 
 Bitcoin
 
 It seemed to me that there were two ways to improve the [financial] system: from above through regulation (which I support), or from below through competition.
 
 2014-01-02 About
 
 Bitcoin: A Peer-to-Peer Electronic Cash System ; Satoshi Nakamoto
 
 Tags:
 
 Bitcoin
 
 2013-12-23 About
 
 Why I want Bitcoin to die in a fire - Charlie's Diary
 
 Tags:
 
 Bitcoin
 
 2013-12-20 About
 
 cdixon tumblr, Bitcoin and the Byzantine Generals Problem
 
 Tags:
 
 Bitcoin
 Byzantine fault tolerance
 
 2013-12-16 About
 
 How the Bitcoin protocol actually works | DDI
 
 Tags:
 
 Bitcoin
 
 2013-12-09 About
 
 What is Bitcoin and How Does it Work? - IBTimes UK
 
 Tags:
 
 Bitcoin
 
 2013-11-29 About
 
 I, Cringely I have my doubts about Bitcoin
 
 Tags:
 
 Bitcoin
 Cringely
 
 2013-10-01 About
 
 Bitcoin P2P Virtual Currency
 
 Tags:
 
 Bitcoin
 
 2011-06-15 About
 - Maidsafe
 
 Scottish company Maidsafe claims to have built a Bitcloud-like system (Wired UK)
 
 Tags:
 
 Maidsafe
 
 2014-05-12 About
 - Semantic Web P2P
 
 DBin Project
 
 Tags:
 
 Semantic Web P2P
 
 A Semantic Web P2P with a "Filesharing philosophy" and/or a Semantic Newsgroup Client.
 
 2006-02-17 About
- Internet tool
- IP address
 - IPv6
- IPv6
- ISP
 - ISP / Servlet Hosting
 - Linux hosting
- Jeux en ligne
 - Massively multiplayer online games
 - Second Life
 
 New Scientist Tech - The irresistible rise of cybersex
 
 Tags:
 
 Cybersex
 Second Life
 
 2006-06-22 About
 
 BBC NEWS | Technology | BBC starts to rock online world
 
 Tags:
 
 BBC
 Second Life
 
 The BBC has staked a claim to a virtual tropical island where it can stage online music festivals and throw exclusive celebrity parties.
 
 2006-05-14 About
 
 My Virtual Life
 
 Tags:
 
 Massively multiplayer online games
 Second Life
 
 A journey into a place in cyberspace where thousands of people have imaginary lives. Some even make a good living. Big advertisers are taking notice
 
 2006-05-02 About
 
 Second Life: Your World. Your Imagination.
 
 Tags:
 
 3D
 Second Life
 
 "Second Life is a 3-D virtual world entirely built and owned by its residents."
 
 2006-02-17 About
- Net Neutrality
- Phishing
- Privacy and internet
 - Cambridge Analytica
 - DuckDuckGo
 - Solid
- Publicité Internet
 - Google + Advertising
 Cory Doctorow: "Google's moves... really ARE good for users. I'd love to find proposals to fix this stuff WITHOUT creating monopolies" / Twitter
 
 Tags:
 
 Accelerated Mobile Pages (AMP)
 Cookies
 Cory Doctorow
 Google
 Monopolies
 Publicité Internet
 Tweet
 
 2020-11-22 About
 Facebook to Partner With Acxiom, Epsilon to Match Store Purchases With User Profiles | Digital - Advertising Age
 
 Tags:
 
 Facebook
 Publicité Internet
 
 Facebook is testing out a new kind of ad targeting that will let brands market to users based on what they've bought in stores, according to execs briefed on their plans.
 
 2013-04-24 About
 Facebook Is Quietly Ramping Up A Product That 'Kills Us,' Says Yahoo Source - Business Insider
 
 Tags:
 
 Facebook
 Publicité Internet
 Yahoo!
 
 2012-11-22 About
 Comprendre comment Google vous traque
 
 Tags:
 
 Google
 Publicité Internet
 
 2011-03-26 About
 No Snooping
 
 Tags:
 
 Publicité Internet
 Tim Berners-Lee
 
 The act of reading, like the act of writing, is a pure, fundamendal, human act. It must be available without interference or spying.
 
 2011-03-08 About
 Something Rotten in AdSense
 
 Tags:
 
 AdSense
 Aggregators
 Fake Blogs
 Google ranking
 Publicité Internet
 Zombie PCs
 
 2005-10-27 About
- Search Engines
 - Baidu
 - NLP@Baidu
 
 Isotropy in the Contextual Embedding Space: Clusters and Manifolds | OpenReview
 
 Tags:
 
 Anisotropy in LM space
 NLP@Baidu
 
 2021-10-26 About
 - Bing
 - Bing+ChatGPT
 
 Chatbots Gone Wild, Surveillance Takes Hold, Rules for Military AI, Robot Training Streamlined
 
 Tags:
 
 Bing+ChatGPT
 Chatbots
 Military AI
 
 2023-02-23 About
 
 ‘I want to destroy whatever I want’: Bing’s AI chatbot unsettles US reporter | Artificial intelligence (AI) | The Guardian
 
 Tags:
 
 Bing+ChatGPT
 
 2023-02-18 About
 - Cliqz
 - DuckDuckGo
 - ElasticSearch
 - ElasticSearch: annotated text field
 
 Mapper Annotated Text Plugin | Elastic
 
 Tags:
 
 ElasticSearch: annotated text field
 
 The doc about annotated text fields. See also elastic list: - <https://discuss.elastic.co/t/can-elasticsearch-handle-long-text/173991/2> - <https://discuss.elastic.co/t/continued-support-for-annotated-text-plugin/218688>
 
 2020-03-14 About
 
 Introducing the Annotated Text Plugin for Elasticsearch: Search for Things (not Strings) | Elastic Blog
 
 Tags:
 
 ElasticSearch: annotated text field
 
 2019-12-14 About
 
 Elasticsearch RSS feed indexer with Spacy entity extraction
 
 Tags:
 
 ElasticSearch: annotated text field
 RSS
 spaCy
 
 [cf](/doc/2019/11/meetup_paris_40_beyond_plain)
 
 2019-11-24 About
 
 Meetup Paris #40 : Beyond plain text: elasticsearch’s annotated text field type (en anglais) - YouTube
 
 Tags:
 
 ElasticSearch
 ElasticSearch: annotated text field
 Named Entity Recognition
 
 Elasticsearch has a new field type which allows **structured data to be added into the text of documents as annotations**. This offers powerful new search features: for ex. NER (Named Entity Recognition) tools like OpenNLP and Spacy can be used to tag people, places and organisations mentioned in text. Sample code: [rss indexer](/doc/2019/11/elasticsearch_rss_feed_indexer_)
 
 2019-11-24 About
 - ElasticSearch: nearest neighbor(s)
 
 MinHash token filter | Elasticsearch Reference
 
 Tags:
 
 ElasticSearch: nearest neighbor(s)
 MinHash
 
 One solution to make similarity search more practical and computationally feasible involves hashing of documents, in a way that similar documents are more likely to produce the same hash code (locality sensitive hashing, LSH). Depending on what constitutes the similarity between documents, various LSH functions have been proposed. For Jaccard similarity, a popular LSH function is MinHash.
 
 2020-02-14 About
 
 ElastiK Nearest Neighbors
 
 Tags:
 
 ElasticSearch: nearest neighbor(s)
 Locality Sensitive Hashing
 
 Combining Locality-Sensitive Hashing and Elasticsearch for Scalable Online K-Nearest Neighbors Search. [Github](https://github.com/alexklibisz/elastik-nearest-neighbors), [Improved version](https://github.com/alexklibisz/elastiknn)
 
 2020-02-13 About
 
 Text similarity search in Elasticsearch using vector fields | Elastic Blog
 
 Tags:
 
 Approximate nearest-neighbor
 ElasticSearch: nearest neighbor(s)
 NLP and Search
 Text Similarity
 Using word embeddings
 
 > How text embeddings and Elasticsearch’s dense_vector type **could be** used to support similarity search. > In practice, sentence embeddings often don’t generalize well to large sections of text. They are not commonly used to represent text longer than a short paragraph. Example of use: search similar question in a collection of Q/A Sample code is given to rank search results (TensorFlow + Google's universal sentence encoder + cosineSimilarity) Current limitation of vector similarity in Elasticsearch: vectors can be used for scoring documents, but not in the initial retrieval step. ([Ongoing work about approximate nearest neighbours search](https://github.com/elastic/elasticsearch/issues/42326). Will be a licensed feature of ES). > Conclusions: Using vectors for search is an important and **nuanced** area
 
 2020-01-10 About
 - Exalead
 - Generative Search Engines
 - ChatGPT+Search
 Bing+ChatGPT
 ChatGPT Retrieval Plugin
 
 openai/chatgpt-retrieval-plugin: The ChatGPT Retrieval Plugin
 
 Tags:
 
 ChatGPT Retrieval Plugin
 GitHub project
 
 > The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language. > uses OpenAI's text-embedding-ada-002 embeddings model to generate embeddings of document chunks, and then stores and queries them using a vector database on the backend. As an open-source and self-hosted solution, developers can deploy their own Retrieval Plugin and register it with ChatGPT. The Retrieval Plugin supports several vector database providers, allowing developers to choose their preferred one from a list. > Memory Feature; capacity to provide ChatGPT with memory.
 
 2023-04-13 About
 
 Knowledge (Raphaël)
 
 raphaelsrty sur X : "My personal Knowledge Base made to the front page of HackerNews today..."
 
 Tags:
 
 Knowledge (Raphaël)
 Personal Knowledge Base
 Twitter thread
 
 2024-03-23 About
 
 raphaelsty.github.io/knowledge demo
 
 Tags:
 
 Demo
 Knowledge (Raphaël)
 
 2023-03-15 About
 
 paper-QA
 
 whitead/paper-qa: LLM Chain for answering questions from documents with citations
 
 Tags:
 
 ChatGPT+Search
 LangChain
 LLM
 paper-QA
 Question Answering
 Research papers
 
 2023-03-29 About
 
 perplexity.ai
 
 Perplexity AI
 
 Tags:
 
 perplexity.ai
 
 2023-01-20 About
 
 Notebook by OpenAI which demos a Q&A workflow using ChatGPT API· openai/openai-cookbook
 
 Tags:
 
 ChatGPT+Search
 ChatGPT API
 GPT sample code
 OpenAI
 Question Answering
 
 Jupyter Notebook which demos a Q&A workflow using ChatGPT API as a base (similar to the Agent/LangChain workflow) > Why search is better than fine-tuning
 
 2023-04-15 About
 
 Sinequa Brings the Power of ChatGPT to the Enterprise With Neural Search
 
 Tags:
 
 ChatGPT+Search
 Enterprise Search
 Sinequa
 
 > Sinequa’s GPT summarizes the information gathered from Sinequa’s Neural Search into more rapidly digestible and reusable formats tailored to the specific needs of the employee. Sinequa’s GPT also allows an interactive dialogue, so that employees can ask deeper questions, refine the search, or refine the response. In this way, employees can converse with their content and have dialogue with their data, all using natural language.
 
 2023-04-07 About
 
 Jo Kristian Bergum sur Twitter : "Do GTP embeddings work for our domain?"
 
 Tags:
 
 ChatGPT+Search
 ChatGPT Over Your Data
 Domain adaptation
 OpenAI Embeddings
 Rigolo
 Tweet
 
 2023-04-07 About
 
 Jo Kristian Bergum sur Twitter : "The movement around connecting LLMs with your data via retrieval augmentation seems to lack a focus on retrieval quality."
 
 Tags:
 
 ChatGPT+Search
 LLMs over your data
 LM + Search
 Tweet
 Vespa
 
 > No matter how powerful the LLM is, if the retrieval data augmenting is rubbish, it's just a big waste.
 
 2023-04-07 About
 
 whitead/paper-qa: LLM Chain for answering questions from documents with citations
 
 Tags:
 
 ChatGPT+Search
 LangChain
 LLM
 paper-QA
 Question Answering
 Research papers
 
 2023-03-29 About
 
 Akari Asai sur Twitter : "Can we solely rely on LLMs’ memories (eg replace search w ChatGPT)? Probably not... Our analysis shows how retrieval is complementary to LLMs’ parametric knowledge..."
 
 Tags:
 
 ChatGPT
 ChatGPT+Search
 Information retrieval
 Language Models + Knowledge
 NLP@Meta
 Not Encoding Factual Knowledge in Language Model
 Tweet
 
 2022-12-21 About
 - Google ranking
 - Intent detection
 - Intent classification and slot filling
 
 Agostina Calabrese sur Twitter : Structured Sentiment Analysis as Dependency Graph Parsing
 
 Tags:
 
 Graph Parsing
 Intent classification and slot filling
 Sentiment analysis
 
 2021-08-02 About
 
 Joint Intent Classification and Slot Filling with Transformers (Jupyter Notebook Viewer)
 
 Tags:
 
 huggingface / transformers
 Intent classification and slot filling
 Olivier Grisel
 Sample code
 Tutorial
 
 tutorial to build a simple Natural Language Understanding system using the @snips voice assistant dataset (English only).
 
 2020-01-09 About
 
 [1902.10909] BERT for Joint Intent Classification and Slot Filling
 
 Tags:
 
 Arxiv Doc
 BERT
 Intent classification and slot filling
 NLP@Alibaba
 
 > Experimental results show that our proposed joint BERT model outperforms BERT models modeling intent classification and slot filling separately, demonstrating the efficacy of exploiting the relationship between the two tasks. Adding a CRF on top of the model doesn't improve the results.
 
 2020-01-09 About
 
 Natural Language Understanding with Sequence to Sequence Models
 
 Tags:
 
 Intent classification and slot filling
 NLU
 Sequence-to-sequence learning
 Slot filling
 
 2020-01-09 About
 - Knowledge graph search engine
 - Personal search engine
 - Knowledge (Raphaël)
 
 Building Monocle, a universal personal search engine for life | thesephist.com
 
 Tags:
 
 Personal-information management
 Personal Knowledge Management
 Personal search engine
 Semanlink related
 thesephist.com (Linus)
 
 [Incremental note-taking | thesephist.com](doc:2023/02/incremental_note_taking_%7C_these)
 
 2023-02-25 About
 - Private Search Engines
 - Ranked Entities in Search Results
 - Semantic Web search engine
 - Datao
 
 search.datao.net
 
 Tags:
 
 Datao
 Olivier Rossel
 Web of data
 
 We index alive endpoints of the LinkedData
 
 2014-11-08 About
 - sindice
 
 The SIREn 1.0 Open Source Release and its Use in the Semantic Web Community - Sindice Blog
 
 Tags:
 
 sindice
 SIREn
 Solr + RDF
 
 2015-03-06 About
 
 SindiceTech Helps Enterprises Build Private Linked Data Clouds - Semanticweb.com
 
 Tags:
 
 Cloud and Linked Data
 sindice
 
 2014-03-07 About
 
 Sindicetech: enterprise linked data clouds
 
 Tags:
 
 Big Data
 Cloud
 Linked Data
 sindice
 
 Big Data meets Semantic Web. And it all makes sense. We're helping large enterprises build their own, Private Linked Data Clouds.
 
 2012-07-31 About
 
 sindice
 
 Tags:
 
 sindice
 
 Sindice is a simple lookup index for Semantic Web resources. Sindice indexes the Semantic Web and can tell you which sources mention a certain resource URI. Sindice does not store the RDF, does not answer queries, and does not try to be a "Semantic Web search engine". You can simply use Sindice from within your application to implement a "find more information" button.
 
 2007-06-13 About
 - Swoogle
 
 http://swoogle.umbc.edu/about.php
 
 Tags:
 
 Finding RDF documents
 Metadata indexing
 Swoogle
 
 Swoogle is a crawler-based indexing and retrieval system for the Semantic Web -- RDF and OWL documents encoded in XML or N3. Swoogle extracts metadata for each discovered document, and computes relations among them. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents. One of the interesting properties we compute is ontology rank, a measure of the importance of a Semantic Web document.
 
 2005-06-15 About
 
 Finding RDF instance data with Swoogle
 
 Tags:
 
 Country ontologies
 Finding RDF documents
 Swoogle
 
 Searching for country ontologies
 
 2005-06-02 About
 - SEO
 - Google: SEO
 - Google Rich Snippets
 - Google Structured Data Testing Tool
 - Semantic SEO
 fps@EC-Web'14
 
 EC-WEB 2014 "Automotive ranges as e-commerce data"
 
 Tags:
 
 fps@EC-Web'14
 fpservant@slideshare
 
 2017-04-12 About
 
 Automotive range as e-commerce data (EC-WEB 2014)
 
 Tags:
 
 Automobile
 EC-Web
 fps@EC-Web'14
 
 2014-08-04 About
 
 GoodRelations
 Car Options Ontology
 
 The Volkswagen Vehicles Ontology (VVO)
 
 Tags:
 
 Automotive and web technologies
 Car Options Ontology
 GoodRelations
 Volkswagen
 
 2011-09-23 About
 
 Volkswagen: Das Auto Company is Das Semantic Web Company! - semanticweb.com
 
 Tags:
 
 Automotive and web technologies
 Car Options Ontology
 Semantic Web
 Semantic web company
 Volkswagen
 
 2011-09-23 About
 
 The Car Options Ontology (COO)
 
 Tags:
 
 Car Options Ontology
 
 2011-03-24 About
 
 The Car Options Ontology (COO)
 
 Tags:
 
 Car Options Ontology
 
 2011-03-24 About
 
 Car Options Ontology at Schemapedia
 
 Tags:
 
 Car Options Ontology
 
 2011-03-24 About
 
 eClassOWL
 
 eClassOWL - The Web Ontology for Products and Services
 
 Tags:
 
 eClassOWL
 
 2013-03-02 About
 
 GoodRelations/Renault
 
 ANN: Renault adds GoodRelations to UK Shop
 
 Tags:
 
 GoodRelations/Renault
 Makolab
 Martin Hepp
 
 2011-10-12 About
 
 Product Types Ontology
 
 The Product Types Ontology: Use Wikipedia pages for describing products or services with GoodRelations
 
 Tags:
 
 GoodRelations
 Product Types Ontology
 
 2011-04-05 About
 
 VSO
 
 [goodrelations] vso:feature, dbPedia and productontology
 
 Tags:
 
 fps' post
 GoodRelations
 VSO
 
 2013-01-29 About
 
 The Vehicle Sales Ontology (VSO)
 
 Tags:
 
 VSO
 
 2011-03-24 About
 
 VSO / Goodrelations
 
 Tags:
 
 GoodRelations
 VSO
 
 Traditional Search Engine Optimization (SEO) tries to put you on top of all search results, but quite clearly, that can work only for one company. GoodRelations puts you on top of Web visibility for people who are looking for exactly your products or services.
 
 2011-03-24 About
 
 GoodRelations: technical report
 
 Tags:
 
 GoodRelations
 
 2014-04-21 About
 
 OPDM - Ontologies
 
 Tags:
 
 GoodRelations
 Martin Hepp
 Ontologies
 Product description
 
 2014-04-19 About
 
 schema blog: Good Relations and Schema.org
 
 Tags:
 
 GoodRelations
 Guha
 schema.org
 
 2013-02-15 About
 
 [goodrelations] vso:feature, dbPedia and productontology
 
 Tags:
 
 fps' post
 GoodRelations
 VSO
 
 2013-01-29 About
 
 [goodrelations] gr:ProductFeature
 
 Tags:
 
 fps' post
 GoodRelations
 
 2013-01-29 About
 
 The goodrelations November 2012 Archive by thread
 
 Tags:
 
 fps' post
 GoodRelations
 
 2012-11-15 About
 
 GoodRelations Fully Integrated with Schema.org - semanticweb.com
 
 Tags:
 
 GoodRelations
 schema.org
 
 2012-11-14 About
 
 Documentation/Product features - GoodRelations Wiki
 
 Tags:
 
 Configuration ontology
 GoodRelations
 Product description
 
 2012-11-12 About
 
 Why is Google not showing rich snippets for my pages? - GoodRelations Wiki
 
 Tags:
 
 GoodRelations
 Google Rich Snippets
 Wiki
 
 2012-10-15 About
 
 An Illustrated Guide To E-Commerce Markup Using GoodRelations
 
 Tags:
 
 GoodRelations
 Tutorial
 
 2012-10-13 About
 
 Google Becomes Answer Engine With Semantic Technology − Great News For Retailers
 
 Tags:
 
 GoodRelations
 Google
 
 2012-04-14 About
 
 The Volkswagen Vehicles Ontology (VVO)
 
 Tags:
 
 Automotive and web technologies
 Car Options Ontology
 GoodRelations
 Volkswagen
 
 2011-09-23 About
 
 Creating Domain-specific Products and Services Ontologies for GoodRelations
 
 Tags:
 
 GoodRelations
 Howto
 
 2011-06-28 About
 
 LOC - The Linked Open Commerce Dataspace
 
 Tags:
 
 GoodRelations
 Virtuoso
 
 2011-06-23 About
 
 GoodRelations for manufacturers
 
 Tags:
 
 GoodRelations
 
 If you are a manufacturer of commodities, you can use GoodRelations to help every small Web shop on the globe to sell your products.
 
 2011-06-10 About
 
 The Product Types Ontology: Use Wikipedia pages for describing products or services with GoodRelations
 
 Tags:
 
 GoodRelations
 Product Types Ontology
 
 2011-04-05 About
 
 Open eBusiness Ontology Usage: Investigating Community Implementation of GoodRelations
 
 Tags:
 
 GoodRelations
 LDOW2011
 Richard Cyganiak
 
 Experimental results highlight that early publishers of structured eCommerce data benefit more due to structured data being more readily search engine indexable, but the lack of available product ontologies and product master datasheets is impeding the creation of a semantically interlinked eCommerce Web.
 
 2011-04-05 About
 
 Investigating Community Implementation of the GoodRelations Ontology
 
 Tags:
 
 GoodRelations
 Richard Cyganiak
 
 2011-04-05 About
 
 Semantic SEO for Google with GoodRelations and RDFa | Hepp Research GmbH
 
 Tags:
 
 GoodRelations
 Google
 RDFa
 
 2011-03-24 About
 
 VSO / Goodrelations
 
 Tags:
 
 GoodRelations
 VSO
 
 Traditional Search Engine Optimization (SEO) tries to put you on top of all search results, but quite clearly, that can work only for one company. GoodRelations puts you on top of Web visibility for people who are looking for exactly your products or services.
 
 2011-03-24 About
 
 goodrelations-based rich snippet example in google query - Semantic Overflow
 
 Tags:
 
 GoodRelations
 Google Rich Snippets
 Semantic Overflow
 
 2011-02-09 About
 
 How Best Buy Is Using The Semantic Web - NYTimes.com
 
 Tags:
 
 GoodRelations
 RDFa
 Semantic Enterprise
 Semantic web : Use cases
 
 2010-07-30 About
 
 GoodRelations Annotator
 
 Tags:
 
 GoodRelations
 Linked Data
 Web of data
 
 GoodRelations Annotator and GoodRelations Snippet Generator: The easy way to advertise your business on the Web of Linked Data.
 
 2010-07-19 About
 
 GoodRelations vs. Google RDFa vs. Open Graph vs. hProduct/hListing: Using GoodRelations in 10 Triples
 
 Tags:
 
 GoodRelations
 
 2010-05-03 About
 
 How Online Retailers Can Leverage Unique Identifiers & Structured Data
 
 Tags:
 
 Semantic SEO
 
 2013-12-12 About
 
 Semantic SEO for the Automotive Industry on Vimeo
 
 Tags:
 
 Automobile
 Martin Hepp
 Semantic SEO
 SemTechBiz
 
 2012-01-12 About
 
 Semantic SEO Comes to Prestashop e-commerce Sites - semanticweb.com
 
 Tags:
 
 Makolab
 Semantic SEO
 
 2011-12-17 About
 - Vespa
 - Web search
 - DSSM (Deep Semantic Similarity Model)
 
 Learning Deep Structured Semantic Models for Web Search using Clickthrough Data - Microsoft Research (2013)
 
 Tags:
 
 DSSM (Deep Semantic Similarity Model)
 Semantic Hashing
 
 we strive to develop a series of **new latent semantic models with a deep structure that project queries and documents into a common low-dimensional space** where the relevance of a document given a query is readily computed as the distance between them. The proposed deep structured semantic models are discriminatively trained by maximizing the conditional likelihood of the clicked documents given a query using the clickthrough data. To make our models applicable to large-scale Web search applications, we also use a technique called word hashing
 
 2017-12-30 About
 
 DSSM ("Deep Semantic Similarity Model") - Microsoft Research
 
 Tags:
 
 DSSM (Deep Semantic Similarity Model)
 
 Deep neural network modeling technique for representing text strings (sentences, queries, predicates, entity mentions, etc.) in a continuous semantic space and modeling semantic similarity between two text strings
 
 2017-12-30 About
 - Yahoo!
 - Peter Mika
 
 What happened to the Semantic Web?
 
 Tags:
 
 Peter Mika
 Semantic Web
 
 2017-07-05 About
 
 [ANN] Public release of Glimmer RDF search engine and demo from Peter Mika on 2013-06-20 (public-vocabs@w3.org from June 2013)
 
 Tags:
 
 Peter Mika
 Semantic Search
 Semantic Web search engine
 Yahoo!
 
 The Semantic Search research group at Yahoo! Labs is pleased to announce the open-source code release and public demo of Glimmer, a search engine for RDF data
 
 2013-06-24 About
 
 The Semantic Web Has Gone Mainstream! Wanna Bet? - semanticweb.com
 
 Tags:
 
 Juan Sequeda
 Linking Enterprise Data
 Peter Mika
 Semantic Web
 
 2012-05-10 About
 - SearchMonkey
 
 SearchMonkey and RDFa - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 RDFa
 SearchMonkey
 
 2009-06-15 About
 
 Yahoo! adds RDF support to SearchMonkey and BOSS
 
 Tags:
 
 RDF
 SearchMonkey
 Yahoo!
 
 2009-02-13 About
 
 Semantic Search Arrives at the Web
 
 Tags:
 
 NLP
 SearchMonkey
 Semantic Search
 
 There are two approaches toward semantic search and both have received attention in the past months. The first approach builds on the automatic analysis of text using Natural Language Processing (NLP). The second approach uses semantic web technologies, which aims to make the web more easily searchable by allowing publishers to expose their (meta)data.
 
 2008-07-19 About
 
 Making the Web Searchable: The Story of SearchMonkey
 
 Tags:
 
 SearchMonkey
 
 Looking at the facts, Mika and the Yahoo! search team realized that they could not count on enhancing search by leveraging metadata on today's web - it simply does not exist to the extent needed. At the same time, it was clear that enhancing search results and cross linking them to other pieces of information on the web is compelling and potentially disruptive. Yahoo! realized that in order to make this work, they need to incentivize and enable publishers to control search result presentation. And thus, SearchMonkey was born.
 
 2008-06-04 About
 
 Benlog » Why I’m switching to Yahoo Search
 
 Tags:
 
 SearchMonkey
 Yahoo!
 
 2008-05-22 About
 - Yahoo - My Web 2.0
 
 Transnets, des gadgets aux réseaux: Le moteur de recherche : interface et miroir (1)
 
 Tags:
 
 Search Engines
 Transnets
 Yahoo - My Web 2.0
 
 2005-07-08 About
 - Yandex
- Semantic Web
 - Big data & semantic web
 - Business Intelligence and Semantic Web
 - Commercialising the Semantic Web
 - Common Web Language
 - Configuration and SW
 - Configuration as Linked Data
 C2GWeb
 C2GWeb: SEO
 C2GWeb and Product description
 C2GWeb, Product description and Makolab
 GAO
 
 Markup for Autos - schema.org
 
 Tags:
 
 GAO
 schema.org
 
 2018-06-19 About
 
 Vehicles, and customizable products from Francois-Paul Servant on 2013-07-23 (public-vocabs@w3.org from July 2013)
 
 Tags:
 
 C2GWeb and Product description
 fps' post
 GAO
 public-vocabs@w3.org
 
 2013-07-29 About
 
 Start Your Semantic Engines: TrueCar Looks To Foster Transition Of Vehicle Data From Flat To Structured And Enhanced - semanticweb.com
 
 Tags:
 
 Automotive and web technologies
 C2GWeb and Product description
 GAO
 Product description
 
 2013-06-17 About
 
 GAO wiki
 
 Tags:
 
 GAO
 Wiki
 
 2013-06-03 About
 
 fps@EC-Web'14
 
 RDFa / schema.org test
 
 Tags:
 
 C2GWeb and Product description
 C2GWeb RDF
 RDFa
 schema.org
 
 et aussi <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=confnew.html">http://www.semanlink.net/2013/07/coldrdfa/?url=confnew.html</a>
 
 2013-09-02 About
 
 Vehicles, and customizable products from Francois-Paul Servant on 2013-07-23 (public-vocabs@w3.org from July 2013)
 
 Tags:
 
 C2GWeb and Product description
 fps' post
 GAO
 public-vocabs@w3.org
 
 2013-07-29 About
 
 Start Your Semantic Engines: TrueCar Looks To Foster Transition Of Vehicle Data From Flat To Structured And Enhanced - semanticweb.com
 
 Tags:
 
 Automotive and web technologies
 C2GWeb and Product description
 GAO
 Product description
 
 2013-06-17 About
 
 C2GWeb and Product description
 C2GWeb-JS
 
 C2GWeb-js
 
 Tags:
 
 C2GWeb-JS
 
 2013-11-22 About
 
 C2GWeb on the web
 
 Renault range with RDFa markup
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 RDFa
 
 More complete description in <a href="http://uk.co.rplug.renault.com/product/gen?as=jsonld">JSON-LD</a> and in <a href="http://uk.co.rplug.renault.com/product/gen?as=ttl">turtle</a>. You can <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=http://uk.co.rplug.renault.com/product/gen?embed=true">test the HTML/RDFa content</a> Note: this page only provides links to the models. Could and probably should also provide links involving other specifications. For instance, the choice "Diesel" could link to the URI of the "Diesel" specification, which includes the links to the corresponding configurations (one for each model that support diesel engine): <a href="http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?embed=true">http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?embed=true</a> Again, a more complete description in <a href="http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?as=ttl">turtle</a> It wouldn't be easily possible, however, to have links to things such as "climate control", because this kind of specification depends on the model: the climate control on Clio is not the same thing as the climate control on Laguna. There are therefore different URIs for the different "climate control" specifications (one for each model that support some form of climate control). Here's the specification "climate control" on "New Clio": <a href="http://uk.co.rplug.renault.com/product/model/CL4/new-clio/spec/CAREG/automatic-climate-control?embed=true">http://uk.co.rplug.renault.com/product/model/CL4/new-clio/spec/CAREG/automatic-climate-control?embed=true</a> And here is the <a href="http://uk.co.rplug.renault.com/product/model/CL4/new-clio/c/A-CL4-CAREG?embed=true">"New Clio with climate control"</a> configuration, along with the corresponding <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=http://uk.co.rplug.renault.com/product/model/CL4/new-clio/c/A-CL4-CAREG?embed=true">test page</a>.
 
 2014-02-07 About
 
 C2GWEB Overview
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 Documentation
 
 2014-01-15 About
 
 C2GWeb-js: Renault Configuration data as RDF, tutorial
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 Configuration as Linked Data
 Configuration ontology
 Configurator
 Javascript RDF
 rplug
 Tutorial
 
 Renault publishes the description of its commercial range as Linked Data. This page explains how to connect to this data, and how to use it. As an example, a configurator over the Renault range is implemented in javascript, using these data.
 
 2013-04-17 About
 
 C2GWeb RDF
 C2GWeb-JS
 Configuration ontology
 C2GWeb-JS
 
 Online Ontology Visualization · OWLGrEd: ConfigurationOntology
 
 Tags:
 
 Configuration ontology
 Ontologie visualization
 
 2015-01-30 About
 
 Describing Customizable Products on the Web of Data, LDOW 2013
 
 Tags:
 
 Configuration as Linked Data
 Configuration ontology
 fps @ LDOW 2013
 
 2013-04-25 About
 
 C2GWeb-js: Renault Configuration data as RDF, tutorial
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 Configuration as Linked Data
 Configuration ontology
 Configurator
 Javascript RDF
 rplug
 Tutorial
 
 Renault publishes the description of its commercial range as Linked Data. This page explains how to connect to this data, and how to use it. As an example, a configurator over the Renault range is implemented in javascript, using these data.
 
 2013-04-17 About
 
 Documentation/Product features - GoodRelations Wiki
 
 Tags:
 
 Configuration ontology
 GoodRelations
 Product description
 
 2012-11-12 About
 
 COLD - Configuration ontology / LOV
 
 Tags:
 
 (LOV) Linked Open Vocabularies
 Configuration ontology
 
 2012-09-10 About
 
 Configuration ontology
 
 Tags:
 
 Configuration ontology
 
 2012-02-07 About
 
 Renault range with RDFa markup
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 RDFa
 
 More complete description in <a href="http://uk.co.rplug.renault.com/product/gen?as=jsonld">JSON-LD</a> and in <a href="http://uk.co.rplug.renault.com/product/gen?as=ttl">turtle</a>. You can <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=http://uk.co.rplug.renault.com/product/gen?embed=true">test the HTML/RDFa content</a> Note: this page only provides links to the models. Could and probably should also provide links involving other specifications. For instance, the choice "Diesel" could link to the URI of the "Diesel" specification, which includes the links to the corresponding configurations (one for each model that support diesel engine): <a href="http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?embed=true">http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?embed=true</a> Again, a more complete description in <a href="http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?as=ttl">turtle</a> It wouldn't be easily possible, however, to have links to things such as "climate control", because this kind of specification depends on the model: the climate control on Clio is not the same thing as the climate control on Laguna. There are therefore different URIs for the different "climate control" specifications (one for each model that support some form of climate control). Here's the specification "climate control" on "New Clio": <a href="http://uk.co.rplug.renault.com/product/model/CL4/new-clio/spec/CAREG/automatic-climate-control?embed=true">http://uk.co.rplug.renault.com/product/model/CL4/new-clio/spec/CAREG/automatic-climate-control?embed=true</a> And here is the <a href="http://uk.co.rplug.renault.com/product/model/CL4/new-clio/c/A-CL4-CAREG?embed=true">"New Clio with climate control"</a> configuration, along with the corresponding <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=http://uk.co.rplug.renault.com/product/model/CL4/new-clio/c/A-CL4-CAREG?embed=true">test page</a>.
 
 2014-02-07 About
 
 RDFa / schema.org test
 
 Tags:
 
 C2GWeb and Product description
 C2GWeb RDF
 RDFa
 schema.org
 
 et aussi <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=confnew.html">http://www.semanlink.net/2013/07/coldrdfa/?url=confnew.html</a>
 
 2013-09-02 About
 
 C2GWeb-js: Renault Configuration data as RDF, tutorial
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 Configuration as Linked Data
 Configuration ontology
 Configurator
 Javascript RDF
 rplug
 Tutorial
 
 Renault publishes the description of its commercial range as Linked Data. This page explains how to connect to this data, and how to use it. As an example, a configurator over the Renault range is implemented in javascript, using these data.
 
 2013-04-17 About
 
 Configuration ontology
 fps @ LDOW 2013
 
 Describing Customizable Products on the Web of Data (LDOW 2013)
 
 Tags:
 
 fps @ LDOW 2013
 fpservant@slideshare
 
 2013-05-28 About
 
 Describing Customizable Products on the Web of Data, LDOW 2013
 
 Tags:
 
 Configuration as Linked Data
 Configuration ontology
 fps @ LDOW 2013
 
 2013-04-25 About
 
 rplug
 
 C2GWeb-js: Renault Configuration data as RDF, tutorial
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 Configuration as Linked Data
 Configuration ontology
 Configurator
 Javascript RDF
 rplug
 Tutorial
 
 Renault publishes the description of its commercial range as Linked Data. This page explains how to connect to this data, and how to use it. As an example, a configurator over the Renault range is implemented in javascript, using these data.
 
 2013-04-17 About
 
 Product Customization as Linked Data | SpringerLink (ESWC-2012)
 
 Tags:
 
 C2GWeb
 Configuration as Linked Data
 ESWC 2012
 
 2017-10-06 About
 
 C2GWeb Helios
 
 Tags:
 
 C2GWeb
 
 2014-11-07 About
 
 Renault range with RDFa markup
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 RDFa
 
 More complete description in <a href="http://uk.co.rplug.renault.com/product/gen?as=jsonld">JSON-LD</a> and in <a href="http://uk.co.rplug.renault.com/product/gen?as=ttl">turtle</a>. You can <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=http://uk.co.rplug.renault.com/product/gen?embed=true">test the HTML/RDFa content</a> Note: this page only provides links to the models. Could and probably should also provide links involving other specifications. For instance, the choice "Diesel" could link to the URI of the "Diesel" specification, which includes the links to the corresponding configurations (one for each model that support diesel engine): <a href="http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?embed=true">http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?embed=true</a> Again, a more complete description in <a href="http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?as=ttl">turtle</a> It wouldn't be easily possible, however, to have links to things such as "climate control", because this kind of specification depends on the model: the climate control on Clio is not the same thing as the climate control on Laguna. There are therefore different URIs for the different "climate control" specifications (one for each model that support some form of climate control). Here's the specification "climate control" on "New Clio": <a href="http://uk.co.rplug.renault.com/product/model/CL4/new-clio/spec/CAREG/automatic-climate-control?embed=true">http://uk.co.rplug.renault.com/product/model/CL4/new-clio/spec/CAREG/automatic-climate-control?embed=true</a> And here is the <a href="http://uk.co.rplug.renault.com/product/model/CL4/new-clio/c/A-CL4-CAREG?embed=true">"New Clio with climate control"</a> configuration, along with the corresponding <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=http://uk.co.rplug.renault.com/product/model/CL4/new-clio/c/A-CL4-CAREG?embed=true">test page</a>.
 
 2014-02-07 About
 
 C2GWEB Overview
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 Documentation
 
 2014-01-15 About
 
 Renault Exploitation of Linked Data | LinkedIn, discussion started by Kingsley Idehen
 
 Tags:
 
 C2GWeb
 fps' post
 Kingsley Idehen
 LinkedIn
 
 2013-07-06 About
 
 C2GWeb-js: Renault Configuration data as RDF, tutorial
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 Configuration as Linked Data
 Configuration ontology
 Configurator
 Javascript RDF
 rplug
 Tutorial
 
 Renault publishes the description of its commercial range as Linked Data. This page explains how to connect to this data, and how to use it. As an example, a configurator over the Renault range is implemented in javascript, using these data.
 
 2013-04-17 About
 
 Product Customization as Linked Data @slideshare
 
 Tags:
 
 C2GWeb
 Configuration as Linked Data
 ESWC 2012
 fpservant@slideshare
 
 2012-06-03 About
 
 SemWeb.Pro : le web sémantique démontre son utilité en entreprise #semwebpro
 
 Tags:
 
 C2GWeb
 SemWeb Pro 2012
 
 2012-05-03 About
 
 Configuration ontology
 
 Re: Product Customization as Linked Data - ResearchGate
 
 Tags:
 
 Configuration as Linked Data
 fps: paper
 OSEMA/DERI-Renault paper
 ResearchGate
 
 > I found your other paper "A Semantic Web Representation of a Product Range Specification based on Constraint Satisfaction Problem in the Automotive Industry" very interesting. Actually, it is the best paper on this topic I found so far!
 
 2017-10-24 About
 
 Product Customization as Linked Data | SpringerLink (ESWC-2012)
 
 Tags:
 
 C2GWeb
 Configuration as Linked Data
 ESWC 2012
 
 2017-10-06 About
 
 Describing Customizable Products on the Web of Data, LDOW 2013
 
 Tags:
 
 Configuration as Linked Data
 Configuration ontology
 fps @ LDOW 2013
 
 2013-04-25 About
 
 C2GWeb-js: Renault Configuration data as RDF, tutorial
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 Configuration as Linked Data
 Configuration ontology
 Configurator
 Javascript RDF
 rplug
 Tutorial
 
 Renault publishes the description of its commercial range as Linked Data. This page explains how to connect to this data, and how to use it. As an example, a configurator over the Renault range is implemented in javascript, using these data.
 
 2013-04-17 About
 
 Product customization as Linked Data - videolectures.net
 
 Tags:
 
 Configuration as Linked Data
 ESWC 2012
 
 2012-07-04 About
 
 Product Customization as Linked Data @slideshare
 
 Tags:
 
 C2GWeb
 Configuration as Linked Data
 ESWC 2012
 fpservant@slideshare
 
 2012-06-03 About
 
 Linked Data et description du produit automobile (SemWeb.Pro)
 
 Tags:
 
 Configuration as Linked Data
 SemWeb Pro 2012
 
 2012-02-13 About
 
 #SemTechBiz Berlin – Day 2 - semanticweb.com
 
 Tags:
 
 Configuration as Linked Data
 SemTechBiz Berlin 2012
 
 2012-02-08 About
 - OSEMA/DERI-Renault paper
 
 Re: Product Customization as Linked Data - ResearchGate
 
 Tags:
 
 Configuration as Linked Data
 fps: paper
 OSEMA/DERI-Renault paper
 ResearchGate
 
 > I found your other paper "A Semantic Web Representation of a Product Range Specification based on Constraint Satisfaction Problem in the Automotive Industry" very interesting. Actually, it is the best paper on this topic I found so far!
 
 2017-10-24 About
 
 A Semantic Web Representation of a Product Range Specification based on Constraint Satisfaction Problem in the Automotive Industry
 
 Tags:
 
 Alexandre Passant
 Automobile
 Constraint Satisfaction Problem
 Fadi Badra
 fps: paper
 OSEMA/DERI-Renault paper
 OSEMA 2011
 
 2011-10-25 About
 
 A Semantic Web Representation of a Product Range Specification based on Constraint Satisfaction Problem in the Automotive Industry
 
 Tags:
 
 Automobile
 Constraint Satisfaction Problem
 DERI
 Fadi Badra
 fps: paper
 OSEMA/DERI-Renault paper
 OSEMA 2011
 Semantic Web
 
 2011-08-20 About
 
 CSP - A vocabulary to represent Constraint Satisfaction Problems. | DERI Vocabularies
 
 Tags:
 
 Constraint Satisfaction Problem
 Fadi Badra
 fps: paper
 fps ontologies
 OSEMA/DERI-Renault paper
 OSEMA 2011
 RDF Vocabularies
 
 2011-06-29 About
 - Constraints in the SW
 - Configuration and SW
 
 SPARQL for SKOS integrity constraints
 
 Tags:
 
 Constraints in the SW
 Pellet
 SKOS
 SPARQL
 TopBraid/SPIN
 
 2010-12-16 About
 - Culture et sem web
 - GINCO (Culture)
 
 L'application GINCO - Ministère de la Culture et de la Communication
 
 Tags:
 
 GINCO (Culture)
 
 2014-07-26 About
 - LOD & museum
 
 La construction d’un espace patrimonial partagé dans le Web de données ouvert
 
 Tags:
 
 Linking Open Data
 LOD & museum
 
 2016-09-05 About
 - Dan Brickley
 - Google Knowledge Graph
 - GRDDL
 - Jena GRDDL Reader
 
 Jena GRDDL Reader
 
 Tags:
 
 Jena GRDDL Reader
 
 2007-07-17 About
 - Semantic Web Client Library
 
 Semantic Web Client Library
 
 Tags:
 
 Semantic Web Client Library
 
 The Semantic Web Client Library represents the complete Semantic Web as a single RDF graph. The library enables applications to query this global graph using SPARQL- and find(SPO) queries. To answer queries, the library dynamically retrieves information from the Semantic Web by dereferencing HTTP URIs and by following rdfs:seeAlso links.
 
 2007-01-02 About
 - Linked Data
 - (LOV) Linked Open Vocabularies
 
 editorsnotes/edit-with-lov: demo of editing JSON-LD using LOV vocabularies
 
 Tags:
 
 (LOV) Linked Open Vocabularies
 JSON-LD
 
 2017-03-18 About
 
 (LOV-E) Linked Open Vocabularies Endpoint
 
 Tags:
 
 (LOV) Linked Open Vocabularies
 SW guys (and girls)
 
 2013-12-10 About
 
 COLD - Configuration ontology / LOV
 
 Tags:
 
 (LOV) Linked Open Vocabularies
 Configuration ontology
 
 2012-09-10 About
 
 (LOV) Linked Open Vocabularies
 
 Tags:
 
 (LOV) Linked Open Vocabularies
 
 2012-09-05 About
 
 Announcing: Linked Open Vocabularies (LOV), enabling the vocabulary commons | Open Knowledge Foundation Blog
 
 Tags:
 
 (LOV) Linked Open Vocabularies
 
 2012-07-31 About
 - APIs and Linked Data
 Hydra
 Hydra/Templated Links
 
 -- ISSUE-45: Introduce hydra:filter (subPropertyOf hydra:search) -- from Thomas Hoppe on 2014-04-20 (public-hydra@w3.org from April 2014)
 
 Tags:
 
 Hydra/Templated Links
 public-hydra@w3.org
 
 <a href="http://lists.w3.org/Archives/Public/public-hydra/2014Apr/0063.html">suite</a>
 
 2015-02-19 About
 
 Local identifiers in IriTemplates from Dietrich Schulten on 2014-12-13 (public-hydra@w3.org from December 2014)
 
 Tags:
 
 Hydra
 Hydra/Templated Links
 public-hydra@w3.org
 
 2015-02-19 About
 
 TemplatedLink
 
 Tags:
 
 Hydra/Templated Links
 public-hydra@w3.org
 
 2015-02-18 About
 
 public-hydra@w3.org
 
 -- ISSUE-45: Introduce hydra:filter (subPropertyOf hydra:search) -- from Thomas Hoppe on 2014-04-20 (public-hydra@w3.org from April 2014)
 
 Tags:
 
 Hydra/Templated Links
 public-hydra@w3.org
 
 <a href="http://lists.w3.org/Archives/Public/public-hydra/2014Apr/0063.html">suite</a>
 
 2015-02-19 About
 
 Local identifiers in IriTemplates from Dietrich Schulten on 2014-12-13 (public-hydra@w3.org from December 2014)
 
 Tags:
 
 Hydra
 Hydra/Templated Links
 public-hydra@w3.org
 
 2015-02-19 About
 
 OldMan: Python OLDM
 
 Tags:
 
 public-hydra@w3.org
 
 OldMan is a Python Object Linked Data Mapper (OLDM). An OLDM let you create, retrieve and update RDF representations of Web Resources by manipulating them as Python objects. OldMan has one main objective: help you to declare your models using RDF triples and JSON-LD contexts instead of programming Python model classes yourself. However, OldMan does not force you to express all your domain logic in a declarative style. OldMan makes easy for you to add dynamically plain-old Python methods to resource objects.
 
 2015-02-18 About
 
 Re: How to avoid that collections "break" relationships from Ruben Verborgh on 2014-03-31 (public-hydra@w3.org from March 2014)
 
 Tags:
 
 public-hydra@w3.org
 Ruben Verborgh
 
 2015-02-18 About
 
 Re: Schema.org Actions - an update and call for review from Sam Goto on 2013-10-17 (public-hydra@w3.org from October 2013)
 
 Tags:
 
 public-hydra@w3.org
 Samuel Goto
 Schema.org Actions
 
 2015-02-18 About
 
 Actions in Schema.org / Hydra from Markus Lanthaler on 2013-06-08 (public-vocabs@w3.org from June 2013)
 
 Tags:
 
 Hydra
 Markus Lanthaler
 public-hydra@w3.org
 public-vocabs@w3.org
 Schema.org Actions
 
 see also <a href="http://lists.w3.org/Archives/Public/public-hydra/2013Aug/0000.html">hydra list</a>
 
 2015-02-18 About
 
 TemplatedLink
 
 Tags:
 
 Hydra/Templated Links
 public-hydra@w3.org
 
 2015-02-18 About
 
 RE: Newbie questions about Issue tracker demo API
 
 Tags:
 
 public-hydra@w3.org
 
 2015-02-18 About
 
 Understanding linked data fragments
 
 Tags:
 
 Linked Data Fragments
 public-hydra@w3.org
 
 2015-02-14 About
 
 Hydra Architecture Diagram
 
 Tags:
 
 Hydra
 
 2017-03-24 About
 
 Web APIs
 
 Tags:
 
 Hydra
 REST
 Ruben Verborgh
 Slides
 Web APIs
 
 2017-03-02 About
 
 From Strings to Things to a Web of Services
 
 Tags:
 
 Hydra
 JSON-LD
 Markus Lanthaler
 Semantic web : présentation
 SlideShare
 
 2016-10-07 About
 
 Turtles all the way down | Ruben Verborgh
 
 Tags:
 
 Hydra
 Ruben Verborgh
 SPARQL: shortcomings
 
 APIs are more than just data: context and controls also belong in the message.
 
 2015-10-07 About
 
 Local identifiers in IriTemplates from Dietrich Schulten on 2014-12-13 (public-hydra@w3.org from December 2014)
 
 Tags:
 
 Hydra
 Hydra/Templated Links
 public-hydra@w3.org
 
 2015-02-19 About
 
 Hydra Community Group - wiki
 
 Tags:
 
 Hydra
 Wiki
 
 2015-02-19 About
 
 Collection Design - Hydra Community Group
 
 Tags:
 
 Hydra
 
 2015-02-18 About
 
 Integration of Hydra into Schema.org
 
 Tags:
 
 Hydra
 schema.org
 
 2015-02-18 About
 
 Actions in Schema.org / Hydra from Markus Lanthaler on 2013-06-08 (public-vocabs@w3.org from June 2013)
 
 Tags:
 
 Hydra
 Markus Lanthaler
 public-hydra@w3.org
 public-vocabs@w3.org
 Schema.org Actions
 
 see also <a href="http://lists.w3.org/Archives/Public/public-hydra/2013Aug/0000.html">hydra list</a>
 
 2015-02-18 About
 
 Hydra Community Group - GitHub
 
 Tags:
 
 GitHub project
 Hydra
 
 <a href="https://github.com/HydraCG/Specifications/issues">Issues</a>
 
 2015-02-18 About
 
 How to Build Linked Data APIs with JSON LD and Hydra - YouTube
 
 Tags:
 
 Hydra
 JSON-LD
 Markus Lanthaler
 Tutorial
 YouTube video
 
 2014-12-18 About
 
 Hydra Community Group @ W3C
 
 Tags:
 
 Hydra
 
 2014-11-26 About
 
 Re: TPF and DBMSes (was Re: Hydra and Shapes) from Ruben Verborgh on 2014-11-26 (public-hydra@w3.org from November 2014)
 
 Tags:
 
 Hydra
 Linked Data Fragments
 RDF forms
 
 Triple Pattern Fragments are just the Linked Data principles, but instead of only hyperlinks, it's hyperlinks and forms, like the rest of the Web
 
 2014-11-26 About
 
 Hydra W3C Community Group
 
 Tags:
 
 Hydra
 Linked Data Fragments
 W3C Community Group
 
 Hydra simplifies the development of interoperable, hypermedia-driven Web APIs
 
 2014-10-29 About
 
 On APIs, JSON, Linked Data, attitude and opportunities | Linked Data Orchestration
 
 Tags:
 
 APIs and Linked Data
 HAL
 JSON-LD
 
 2017-05-15 About
 
 APIs and Linked Data: A match made in Heaven | APILama
 
 Tags:
 
 APIs and Linked Data
 
 2016-02-25 About
 - Cloud and Linked Data
 Cloud and Linked Data
 Cloud based LOD platform
 
 Fujitsu Labs And DERI To Offer Free, Cloud-Based Platform To Store And Query Linked Open Data
 
 Tags:
 
 Cloud based LOD platform
 DERI
 Fujitsu
 
 2013-04-04 About
 
 SindiceTech Helps Enterprises Build Private Linked Data Clouds - Semanticweb.com
 
 Tags:
 
 Cloud and Linked Data
 sindice
 
 2014-03-07 About
 - Cost of Linked Data
 
 Why Carry the Cost of Linked Data? – Tom Heath’s Displacement Activities
 
 Tags:
 
 Cost of Linked Data
 Government data as Linked Data
 Tom Heath
 
 2010-07-30 About
 - dbpedia
 dbpedia francophone
 SémanticPédia
 
 CROTOS
 
 Tags:
 
 SémanticPédia
 
 2014-03-04 About
 
 Sémanticpédia
 
 Tags:
 
 SémanticPédia
 
 2012-12-10 About
 
 Présentation SémanticPedia
 
 Tags:
 
 SémanticPédia
 
 2012-11-19 About
 
 DBpédia en français
 
 Tags:
 
 dbpedia francophone
 
 2012-11-19 About
 
 DBpedia Mobile
 
 DBpedia Mobile (ISWC2008 presentation)
 
 Tags:
 
 DBpedia Mobile
 iphone
 
 2008-11-03 About
 
 DBpedia Mobile (site)
 
 Tags:
 
 DBpedia Mobile
 
 2008-11-03 About
 
 snorql
 
 SPARQL Explorer for http://dbpedia.org/sparql
 
 Tags:
 
 snorql
 
 2007-10-13 About
 
 Wikipedia page to concept
 
 wiki to dbpedia with sparql
 
 Tags:
 
 SPARQL
 SPARQL: sample code
 Wikipedia page to concept
 
 SELECT ?subject ?p WHERE { { ?subject ?p http://en.wikipedia.org/wiki/Well-Tempered_Clavier } }
 
 2008-02-01 About
 
 SPARQL query to find the dbPedia concept corresponding to a wikipedia page
 
 Tags:
 
 Wikipedia page to concept
 
 SELECT ?s ?p WHERE { { ?s ?p <http://en.wikipedia.org/wiki/Well_Tempered_Clavier> } }
 
 2007-10-13 About
 
 From Wikipedia URI-s to DBpedia URI… « Ivan’s blog
 
 Tags:
 
 Ivan Herman
 Richard Cyganiak
 Wikipedia page to concept
 
 2007-08-01 About
 
 A Neural QA Model for DBpedia (GSoC 2019)
 
 Tags:
 
 dbpedia
 Graph neural networks
 Question Answering
 
 2019-03-26 About
 
 Normalizing company names with SPARQL and DBpedia - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 dbpedia
 SPARQL Tips
 
 2012-12-09 About
 
 DBpedia Mappings Wiki
 
 Tags:
 
 dbpedia
 
 help to enhance the information in DBpedia.
 
 2012-11-19 About
 
 Using DBpedia to generate SKOS thesauri « About the social semantic web
 
 Tags:
 
 dbpedia
 SKOS
 
 2011-12-18 About
 
 Faceted Wikipedia Search
 
 Tags:
 
 dbpedia
 Faceted Search
 SW demo
 Wikipedia
 
 2010-06-22 About
 
 Faviki
 
 Tags:
 
 dbpedia
 Keep new
 Semanlink related
 Social bookmarking
 Wikipedia
 
 Faviki - Social bookmarking tool using smart semantic Wikipedia (DBpedia) tags
 
 2010-01-20 About
 
 The Semantic Puzzle | DBpedia, UMBEL & the Future Web’s Ecology - interview with Mike Bergman & Sören Auer
 
 Tags:
 
 dbpedia
 Mike Bergman
 Umbel
 
 2008-11-12 About
 
 Faviki - Social bookmarking tool using smart semantic Wikipedia (DBpedia) tags
 
 Tags:
 
 dbpedia
 Semantic tagging
 Semantic Web
 Social bookmarking
 Wikipedia
 
 Faviki is a tool that brings together social bookmarking and Wikipedia. It lets you bookmark web pages using Wikipedia's terms. In Faviki, everybody uses the same names for tags from the world's largest collection of knowledge!
 
 2008-09-29 About
 
 Faviki uses Wikipedia and DBpedia for semantic tagging
 
 Tags:
 
 dbpedia
 Semantic tagging
 Wikipedia
 
 2008-06-25 About
 
 Dbpedia en action la suite | Les petites cases
 
 Tags:
 
 dbpedia
 Gautier Poupeau
 Google Maps
 SPARQL: sample code
 SPARQL Demo
 
 2008-05-19 About
 
 SourceForge.net: dbpedia-discussion
 
 Tags:
 
 dbpedia
 Mailing list
 
 2008-05-18 About
 
 [Linking-open-data] Fw: linking geonames concepts to wikipedia and other concept
 
 Tags:
 
 Bernard Vatant
 dbpedia
 Linked Data
 Richard Cyganiak
 Semantics of skos:Concept
 
 2008-05-15 About
 
 Search DBpedia.org
 
 Tags:
 
 dbpedia
 
 2007-05-13 About
 
 Did You Blink? The Structured Web Just Arrived
 
 Tags:
 
 dbpedia
 
 2007-04-04 About
 
 dbpedia.org - Using Wikipedia as a Web Database
 
 Tags:
 
 dbpedia
 
 dbpedia.org is a community effort to extract structured information from Wikipedia and to make this information available on the Web. dbpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.
 
 2007-04-04 About
 - Disco Hyperdata Browser
 
 Disco - Hyperdata Browser
 
 Tags:
 
 Disco Hyperdata Browser
 
 Try it here!
 
 2007-04-03 About
 
 Disco Hyperdata Browser
 
 Tags:
 
 Disco Hyperdata Browser
 Good
 
 Simple browser for navigating the Semantic Web as an unbound set of data sources. The browser renders all information, that it can find on the Semantic Web about a specific resource, as an HTML page. This resource description contains hyperlinks that allow you to navigate between resources. While you move from resource to resource, the browser dynamically retrieves information by dereferencing HTTP URIs and by following rdfs:seeAlso links.
 
 2007-01-15 About
 - Drupal/RDF
 
 RDF for Solr: Possible implementation strategies
 
 Tags:
 
 Drupal/RDF
 Frederick Giasson
 Solr + RDF
 
 2015-03-06 About
 
 Solr RDF Support | Drupal Groups
 
 Tags:
 
 Drupal/RDF
 Solr + RDF
 
 2012-05-10 About
 
 RDF export/import should be W3C standard SKOS - here is the patch | drupal.org
 
 Tags:
 
 Drupal/RDF
 SKOS
 
 2011-09-16 About
 
 The Semantic Web, Linked Data and Drupal, Part 2: Combine linked datasets with Drupal 7 and SPARQL Views
 
 Tags:
 
 Drupal/RDF
 IBM developerWorks
 
 2011-09-16 About
 
 Semantic Web | groups.drupal.org
 
 Tags:
 
 Drupal/RDF
 
 2011-09-16 About
 
 Produce and Consume Linked Data with Drupal! (slides)
 
 Tags:
 
 Drupal/RDF
 Slides
 
 2011-09-16 About
 
 Produce and Consume Linked Data with Drupal! (full paper)
 
 Tags:
 
 Drupal/RDF
 
 2011-09-15 About
 
 Produce and Consume Linked Data with Drupal!
 
 Tags:
 
 Drupal/RDF
 
 2011-09-15 About
 
 Q&A Session for “The RDFa initiative in Drupal 7, and how it will impact the Semantic Web” - semanticweb.com
 
 Tags:
 
 Drupal/RDF
 
 2011-09-15 About
 
 The Semantic Web, Linked Data and Drupal, Part 1: Expose your data using RDF
 
 Tags:
 
 Drupal/RDF
 IBM developerWorks
 
 2011-09-15 About
 
 Modules pour Drupal
 
 Tags:
 
 Drupal/RDF
 Gautier Poupeau
 
 2011-09-15 About
 - Dynamic Semantic Publishing
 BBC semantic publishing
 BBC - Programmes
 
 Designing a URL structure for BBC programmes | Smethurst
 
 Tags:
 
 BBC
 BBC - Programmes
 BBC semantic publishing
 URL
 
 2014-09-26 About
 
 Use of Semantic Web technologies on the BBC Web Sites
 
 Tags:
 
 BBC
 BBC - Programmes
 Semantic Web
 semantic web sites
 Yves Raymond
 
 2011-02-02 About
 
 BBC - Radio Labs: Brands, series, categories and tracklists on the new BBC Programmes
 
 Tags:
 
 BBC - Programmes
 Linked Data
 Yves Raymond
 
 The general philosophy behind BBC Programmes is that our web site is our API
 
 2011-01-18 About
 
 Live SPARQL end-point for BBC Programmes - DBTune blog
 
 Tags:
 
 BBC - Programmes
 DBTune
 SPARQL endpoint
 
 2010-05-14 About
 
 BBC Blogs - Internet Blog - Opening up the BBC's Linked Data with /things
 
 Tags:
 
 BBC semantic publishing
 
 2017-01-06 About
 
 Designing a URL structure for BBC programmes | Smethurst
 
 Tags:
 
 BBC
 BBC - Programmes
 BBC semantic publishing
 URL
 
 2014-09-26 About
 
 BBC - Things
 
 Tags:
 
 BBC semantic publishing
 
 BBC Things provides a single reference for all of the things that matter to the BBC and our audiences.
 
 2014-09-23 About
 
 Current and future uses of Semantic Web technologies at the BBC
 
 Tags:
 
 BBC
 BBC semantic publishing
 Slides
 Yves Raymond
 
 2013-09-07 About
 
 Automated interlinking of speech radio archives
 
 Tags:
 
 Automatic tagging
 BBC semantic publishing
 LDOW2012
 NLP
 Yves Raymond
 
 2012-04-14 About
 
 Case Study: Use of Semantic Web Technologies on the BBC Web Sites
 
 Tags:
 
 BBC semantic publishing
 
 2011-02-04 About
 
 BBC - BBC Internet Blog: BBC World Cup 2010 dynamic semantic publishing
 
 Tags:
 
 BBC semantic publishing
 
 2011-02-04 About
 
 Dynamic Semantic Publishing for any Blog (Part 2: Linked ReadWriteWeb) - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Dynamic Semantic Publishing
 
 2010-08-20 About
 
 Dynamic Semantic Publishing for any Blog (Part 1) - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Dynamic Semantic Publishing
 
 2010-08-12 About
 - Education and Linked Data
 
 Linked Universities :: Home
 
 Tags:
 
 Education and Linked Data
 Université
 
 2014-02-11 About
 
 Veni Competition Submissions
 
 Tags:
 
 Education and Linked Data
 
 2013-07-15 About
 
 LinkedUp Challenge
 
 Tags:
 
 Education and Linked Data
 
 2013-06-14 About
 - Equivalence mining
 
 TaskForces/CommunityProjects/LinkingOpenData/EquivalenceMining - ESW Wiki
 
 Tags:
 
 Equivalence mining
 
 This page collects software tools and papers about techniques that can be used to auto-generate links between data items within different datasources.
 
 2007-06-13 About
 
 [Linking-open-data] Equivalence miner
 
 Tags:
 
 Equivalence mining
 Jamendo
 MusicBrainz
 Yves Raymond
 
 In order to map the Jamendo dataset to the Musicbrainz dataset, I developed a small equivalence miner. The main problem was that it was impossible to use literal lookup techniques for these datasets - many small bands have the same name, some are just represented in the jamendo dataset but there are some matching names in the musicbrainz dataset, etc. This equivalence miner does two things: it disambiguates and propagates equivalence relationships. Moreover, it works in a linked data style (the only input data it "needs" is a start URI).
 
 2007-06-13 About
 - Government data as Linked Data
 
 Semantic Web in Emergency Response Systems – UPDATE - semanticweb.com
 
 Tags:
 
 Amsterdam
 Bart van Leeuwen
 Government data
 Government data as Linked Data
 
 2013-10-18 About
 
 Guest Post: A Developers' Guide to the Linked Data APIs - Jeni Tennison | data.gov.uk
 
 Tags:
 
 Government data as Linked Data
 Jeni Tennison
 
 2011-10-12 About
 
 Another Reason Semantic Web Kicks Ass—Clark & Parsia: Thinking Clearly
 
 Tags:
 
 Clark and Parsia
 Government data as Linked Data
 SW demo
 
 Painless, efficient, and mostly meeting-free information integration is another reason the Semantic Web kicks ass.
 
 2010-12-17 About
 
 Publishing Local Open Data - Important Lessons from the Open Election Data project | data.gov.uk
 
 Tags:
 
 Election
 Government data as Linked Data
 Linked Data
 
 2010-07-30 About
 
 Why Carry the Cost of Linked Data? – Tom Heath’s Displacement Activities
 
 Tags:
 
 Cost of Linked Data
 Government data as Linked Data
 Tom Heath
 
 2010-07-30 About
 - Hydra
 - Identity Crisis in Linked Data
 
 Larry Masinter Musings: Resources are Angels; URLs are Pins
 
 Tags:
 
 Identity Crisis in Linked Data
 URI Identity
 
 2013-07-20 About
 
 A Spectrometry of Linked Data
 
 Tags:
 
 Entity mining
 Good
 Identity Crisis in Linked Data
 LDOW2012
 URI Identity
 URI Reference
 
 Entity mining is still a troublesome open problem. In past years many approaches allowed to automate the generation of equivalence links between references using schema matching or various heuristics based on the recognition of similar property values. In contrast, few of them considered the analysis of the network of equivalence links (“equivalence network”) as an indication of the likelihood and strength of the equivalence. Could a URI reference (URIRef) be thought as exactly “attached” to its referent? Could it make sense to talk about entity “identifiers” or would it be better to talk about more ambiguous “references”, i.e., placeholders for any model that satisfies the formal semantics of the Semantic Web (Hayes)? Booth observes that the aforementioned question, which in the past has been often regarded as fundamental in the debate about identity on the Web, is relatively unimportant. As long as an entity, identified by whatsoever URIRef, is associated to at least one description containing machine understandable information, this information can be automatically processed and used by applications.
 
 2012-04-16 About
 
 Identity Crisis in Linked Data
 
 Tags:
 
 Identity Crisis in Linked Data
 Ora Lassila
 
 2011-12-17 About
 - Information resources
 httpRange-14
 Wikipedia page to concept
 
 URI Identity and Web Architecture Revisited
 
 Tags:
 
 Information resources
 URI
 URI Identity
 
 2007-11-20 About
 
 Re: More on distinguishing information resources from other resources Roy T. Fielding
 
 Tags:
 
 Information resources
 Roy T. Fielding
 
 2007-11-20 About
 - Interactive Knowledge Stack
 create.js
 
 Create.js - Create.js Integration Guide
 
 Tags:
 
 create.js
 
 2012-08-10 About
 
 Decoupling Content Management with CreateJS and VIE on Vimeo
 
 Tags:
 
 create.js
 Henri Bergius
 IKS Workshop Salzburg 2012
 VIE Vienna IKS Editables
 
 2012-07-12 About
 
 Create — A new kind of web editing interface
 
 Tags:
 
 create.js
 Henri Bergius
 Interactive Knowledge Stack
 jQuery
 
 Henri Bergius
 
 2012-02-07 About
 
 IKS Workshop Salzburg 2012
 
 Decoupling Content Management with CreateJS and VIE on Vimeo
 
 Tags:
 
 create.js
 Henri Bergius
 IKS Workshop Salzburg 2012
 VIE Vienna IKS Editables
 
 2012-07-12 About
 
 Build a CMS, no forms allowed
 
 Tags:
 
 CMS
 Forms
 Henri Bergius
 IKS Workshop Salzburg 2012
 
 2012-07-10 About
 
 The Enterprise Search Market – What should be on your radar? Keynote IKS 2012 Workshop | IKS Blog – The Semantic CMS Community
 
 Tags:
 
 Enterprise Search
 IKS Workshop Salzburg 2012
 Semantic Search
 
 2012-07-04 About
 
 IKS: introduction and overview
 
 Tags:
 
 IKS Workshop Salzburg 2012
 Interactive Knowledge Stack
 
 2012-06-25 About
 
 IKS Salzburg Workshop June 2012 | IKS Blog – The Semantic CMS Community
 
 Tags:
 
 IKS Workshop Salzburg 2012
 
 2012-06-21 About
 
 IKS Salzburg Workshop June 2012 - pictures
 
 Tags:
 
 IKS Workshop Salzburg 2012
 
 2012-06-19 About
 
 OpenCms, the Open Source Java Web Content Management System / CMS
 
 Tags:
 
 CMS
 IKS Workshop Salzburg 2012
 
 2012-06-13 About
 
 Liip AG
 
 Tags:
 
 IKS Workshop Salzburg 2012
 Semantic CMS
 
 2012-06-13 About
 
 SEMANTIC ENTERPRISE TECHNOLOGIES in ACTION - IKS Project
 
 Tags:
 
 IKS Workshop Salzburg 2012
 
 2012-05-12 About
 
 Stanbol
 
 redlink
 
 Tags:
 
 Apache Marmotta
 John Pereira
 Rupert Westenthaler
 Semantic startup
 Solr
 Stanbol
 
 2015-03-09 About
 
 kritarthanand/Disambiguation-Stanbol · GitHub
 
 Tags:
 
 Stanbol
 
 Before Installation of Engine if you input text "Paris is a small city in the state of Texas". It identifies Texas as state of US and Paris as Paris, France. When the Entity disambiguation engine works on it to it correctly identifies Paris as Paris, Texas.
 
 2012-08-10 About
 
 IKS-Stanbol - Topic Classification
 
 Tags:
 
 Olivier Grisel
 Stanbol
 
 2012-07-26 About
 
 Apache Stanbol now with multi-language support | IKS Blog – The Semantic CMS Community
 
 Tags:
 
 Multi-language support
 Stanbol
 
 2012-07-03 About
 
 Apache Stanbol - How to to create an enhancement engine
 
 Tags:
 
 Stanbol
 Tutorial
 
 2012-06-24 About
 
 [#STANBOL-594] Google Refine Reconciliation Service support - ASF JIRA
 
 Tags:
 
 Google Refine
 Stanbol
 
 2012-06-21 About
 
 Gestion Documentaire (GED) Open Source par Nuxeo
 
 Tags:
 
 GED
 Nuxeo
 Open Source
 SemWeb Pro 2012
 Stanbol
 
 2012-05-02 About
 
 StanbolProposal - Incubator Wiki
 
 Tags:
 
 Stanbol
 
 Apache Stanbol is a modular software stack and reusable set of components for semantic content management
 
 2010-12-17 About
 
 VIE Vienna IKS Editables
 
 Using RDFa to make a web page editable - Henri Bergius
 
 Tags:
 
 Henri Bergius
 RDFa
 VIE Vienna IKS Editables
 
 2012-09-01 About
 
 VIE.js - Skeleton - jsFiddle
 
 Tags:
 
 jsFiddle
 Sample code
 VIE Vienna IKS Editables
 
 2012-08-08 About
 
 Decoupling Content Management - Henri Bergius
 
 Tags:
 
 CMS
 Henri Bergius
 VIE Vienna IKS Editables
 
 2012-08-06 About
 
 Decoupling Content Management with CreateJS and VIE on Vimeo
 
 Tags:
 
 create.js
 Henri Bergius
 IKS Workshop Salzburg 2012
 VIE Vienna IKS Editables
 
 2012-07-12 About
 
 Semantic UI Development with VIE | IKS Blog – The Semantic CMS Community
 
 Tags:
 
 Sebastian Germesin
 VIE Vienna IKS Editables
 
 2012-06-15 About
 
 IKS: introduction and overview
 
 Tags:
 
 IKS Workshop Salzburg 2012
 Interactive Knowledge Stack
 
 2012-06-25 About
 
 Hallo.js - Editing Markdown in WYSIWYG
 
 Tags:
 
 Henri Bergius
 Interactive Knowledge Stack
 JavaScript
 
 2012-06-06 About
 
 Create — A new kind of web editing interface
 
 Tags:
 
 create.js
 Henri Bergius
 Interactive Knowledge Stack
 jQuery
 
 Henri Bergius
 
 2012-02-07 About
 
 VIE - IKS Project
 
 Tags:
 
 Annotations (java)
 Interactive Knowledge Stack
 JavaScript
 RDFa
 
 VIE, or Vienna IKS Editables is a project to make the content of your web pages editable through annotations. This means that by simply including some RDFa on your pages you can built rich user interactions and interfaces on the JavaScript level.
 
 2011-09-13 About
 
 Rencontre avec Aldo Gangemi et Valentina Presutti - Les rencontres du Web de données (Paris) - Meetup
 
 Tags:
 
 Interactive Knowledge Stack
 Meetup Web Sémantique
 
 2011-06-08 About
 - JSON-LD
 JSON 2 JSON-LD
 
 RE: DuckDuckGo data to JSON-LD? from Markus Lanthaler on 2012-08-24 (public-linked-json@w3.org from August 2012)
 
 Tags:
 
 JSON 2 JSON-LD
 
 2017-01-05 About
 
 Jsonld/Jena
 
 Java Code Example com.github.jsonldjava.core.JsonLdOptions
 
 Tags:
 
 Jsonld/Jena
 Jsonld-java
 Sample code
 
 2016-04-09 About
 
 JsonLdOptions
 
 Tags:
 
 Jsonld/Jena
 
 2016-04-09 About
 
 Serialization of JSON-LD using appropriate context · Issue #101 · jsonld-java/jsonld-java
 
 Tags:
 
 Jsonld/Jena
 
 2016-04-09 About
 
 Jena: controlling JSON-LD output
 
 Tags:
 
 Jsonld/Jena
 
 2016-04-09 About
 
 JsonLD + MongoDB
 
 JSON-LD and MongoDB
 
 Tags:
 
 Gregg Kellogg
 JsonLD + MongoDB
 SlideShare
 
 2016-11-17 About
 
 JSON-LD APIs
 
 Building JSON-LD APIs: Best Practices
 
 Tags:
 
 Gregg Kellogg
 JSON-LD APIs
 
 2016-07-04 About
 
 JSON-LD frame
 
 Framing explanation and framing return values from Dave Longley on 2011-08-24 (public-linked-json@w3.org from August 2011)
 
 Tags:
 
 JSON-LD frame
 public-linked-json@w3.org
 
 2016-05-05 About
 
 Jsonld-java
 
 Java Code Example com.github.jsonldjava.core.JsonLdOptions
 
 Tags:
 
 Jsonld/Jena
 Jsonld-java
 Sample code
 
 2016-04-09 About
 
 category:structured-data jsonld (in Webmaster Central Help Forum) - Google Product Forums
 
 Tags:
 
 Google Structured Data Testing Tool
 JSON-LD
 
 2017-09-26 About
 
 Re: Google Structured Data Testing Tool fails on valid JSON-LD from Dan Brickley on 2016-04-07 (public-schemaorg@w3.org from April 2016)
 
 Tags:
 
 Dan Brickley
 Google Structured Data Testing Tool
 JSON-LD
 Martynas Jusevicius
 
 > The Google Structured Data Testing Tool in its current incarnation is largely oriented towards vocabulary that Google understands, even though it is perfectly harmless to include other information in your structured data
 
 2017-09-26 About
 
 On APIs, JSON, Linked Data, attitude and opportunities | Linked Data Orchestration
 
 Tags:
 
 APIs and Linked Data
 HAL
 JSON-LD
 
 2017-05-15 About
 
 Loading JSON-LD into ES - Elasticsearch - Discuss the Elastic Stack
 
 Tags:
 
 ElasticSearch
 JSON-LD
 
 2017-04-21 About
 
 API Platform: Creating your First API with API Platform, in 5 Minutes
 
 Tags:
 
 API
 JSON-LD
 
 2017-04-12 About
 
 editorsnotes/edit-with-lov: demo of editing JSON-LD using LOV vocabularies
 
 Tags:
 
 (LOV) Linked Open Vocabularies
 JSON-LD
 
 2017-03-18 About
 
 angularjs - JSON-LD+Hydra link discovery - Stack Overflow
 
 Tags:
 
 JSON-LD
 
 2017-02-04 About
 
 From Strings to Things to a Web of Services
 
 Tags:
 
 Hydra
 JSON-LD
 Markus Lanthaler
 Semantic web : présentation
 SlideShare
 
 2016-10-07 About
 
 JSON-LD: Building Meaningful Data APIs
 
 Tags:
 
 JSON-LD
 
 2016-09-24 About
 
 creating-semantic-sites-with-web-components-and-jsonld.markdown
 
 Tags:
 
 JSON-LD
 Semantic Components
 Web Components
 
 2016-08-02 About
 
 markdown to json-ld
 
 Tags:
 
 JSON-LD
 Markdown
 StackOverFlow Q
 
 2016-08-02 About
 
 semantic web - In JSON-LD, is it possible to extend a context? - Stack Overflow
 
 Tags:
 
 JSON-LD
 Stack Overflow
 
 2016-04-09 About
 
 JSON-LD, currently… | Brinxmat's blog
 
 Tags:
 
 Brinxmat
 JSON-LD
 
 2016-04-09 About
 
 So I created workable JSON-LD | Brinxmat's blog
 
 Tags:
 
 Brinxmat
 JSON-LD
 
 2016-04-09 About
 
 JSON-LD: Building Meaningful Data APIs - via @codeship | via @codeship
 
 Tags:
 
 JSON-LD
 Tutorial
 
 2016-03-17 About
 
 MD-LD
 
 Tags:
 
 GitHub project
 JSON-LD
 Markdown
 
 MD-LD extends Markdown's reference link syntax to allow easy authoring of structured data.
 
 2015-10-04 About
 
 visuaLOD / visualod.bitbucket.org — Bitbucket
 
 Tags:
 
 AngularJS
 JSON-LD
 
 a Linked Data View Builder
 
 2015-08-29 About
 
 angular-jsonld
 
 Tags:
 
 AngularJS
 GitHub project
 JSON-LD
 
 This angular module facilitates the integration of JSON-LD server APIs in AngularJS clients. It is implemented on top of Restagular. Its purpose is to provide an adapter layer to map client's data model to the server's API model by using the semantics embedded in JSON-LD as the contract interface. Another important functionality of angular-jsonld is to enable easy navigation of JSON-LD hyperlinks in client's code.
 
 2015-08-29 About
 
 Re: Querying JSON-LD on client side from David I. Lehn on 2015-07-17 (public-linked-json@w3.org from July 2015)
 
 Tags:
 
 JSON-LD
 Niklas Lindström
 public-linked-json@w3.org
 
 2015-08-06 About
 
 An XSLT stylesheet transforming Jena's RDF/XML format to JSON-LD.
 
 Tags:
 
 Jena
 JSON-LD
 XSLT
 
 2015-05-25 About
 
 Official Google Webmaster Central Blog: Easier website development with Web Components and JSON-LD
 
 Tags:
 
 JSON-LD
 Web Components
 
 2015-03-14 About
 
 Creating semantic sites with Web Components and JSON-LD
 
 Tags:
 
 JSON-LD
 Semantic Components
 Web Components
 
 2015-03-10 About
 
 jsonld.js: A JSON-LD Processor and API implementation in JavaScript.
 
 Tags:
 
 Javascript RDF
 JSON-LD
 Manu Sporny
 
 <a href="http://github.com/digitalbazaar/jsonld.js">on github</a>
 
 2015-02-25 About
 
 Re: Limitations on JSON which conforms to JSON-LD spec? from Nicholas Bollweg on 2014-12-01 (public-linked-json@w3.org from December 2014)
 
 Tags:
 
 JSON
 JSON-LD
 public-linked-json@w3.org
 
 2015-02-19 About
 
 How to Build Linked Data APIs with JSON LD and Hydra - YouTube
 
 Tags:
 
 Hydra
 JSON-LD
 Markus Lanthaler
 Tutorial
 YouTube video
 
 2014-12-18 About
 
 JSON-LD Playground
 
 Tags:
 
 JSON-LD
 
 to play with Hydra, use <a href="http://www.markus-lanthaler.com/jsonld/playground/">this one</a>
 
 2014-11-23 About
 
 controlling JSON-LD output, Apache Jena main user support list
 
 Tags:
 
 Jena
 JSON-LD
 
 2014-11-18 About
 
 Why Drupal 8 should drop RDFa (and microdata) in favor of JSON | Lin Clark
 
 Tags:
 
 Drupal
 JSON-LD
 RDFa
 
 2014-11-18 About
 
 JSON-LD 1.0
 
 Tags:
 
 JSON-LD
 Manu Sporny
 Markus Lanthaler
 W3C Recommendation
 
 2014-11-15 About
 
 JSON-LD Framing 1.0
 
 Tags:
 
 JSON-LD
 
 An Application Programming Interface for the JSON-LD Syntax A Frame can be used by a developer on a JSON-LD document to specify a deterministic layout for a graph.
 
 2014-10-29 About
 
 lanthaler/JsonLD processor written in PHP, Github
 
 Tags:
 
 JSON-LD
 Markus Lanthaler
 
 2014-10-29 About
 
 JSON-LD 1.0 Processing Algorithms and API
 
 Tags:
 
 JSON-LD
 W3C Recommendation
 
 2014-10-29 About
 
 JSON-LD and Why I Hate the Semantic Web | The Beautiful, Tormented Machine
 
 Tags:
 
 JSON-LD
 Manu Sporny
 
 2014-10-20 About
 
 Github adds JSON-LD support in core product | The Beautiful, Tormented Machine
 
 Tags:
 
 GitHub
 JSON-LD
 Schema.org Actions
 
 2014-09-20 About
 
 One URL: The Semantic Sensor Revolution
 
 Tags:
 
 Internet of Things
 JSON-LD
 
 2014-09-16 About
 
 What is JSON-LD? A Talk with Gregg Kellogg
 
 Tags:
 
 Gregg Kellogg
 JSON-LD
 Schema.org Actions
 
 2014-09-10 About
 
 JSON-LD: Finally, Google Honors Invisible Data for SEO | The Hepp Research Blog on Marketing with Data
 
 Tags:
 
 Google
 JSON-LD
 Martin Hepp
 schema.org
 SEO
 
 2014-03-26 About
 
 JSON-LD, the Google Knowledge Graph and schema.org SEO
 
 Tags:
 
 Google Knowledge Graph
 JSON-LD
 schema.org
 SEO
 
 2014-03-19 About
 
 About JSON-LD and Content-Negotiation | Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 Content negotiation
 JSON-LD
 
 2013-09-10 About
 
 JSON-LD 1.0: Embedding JSON-LD in HTML Documents
 
 Tags:
 
 HTML Data
 JSON-LD
 
 2013-06-25 About
 
 schema blog: Schema.org and JSON-LD
 
 Tags:
 
 Dan Brickley
 JSON-LD
 schema.org
 
 2013-06-06 About
 
 Gmail, Meet JSON-LD - semanticweb.com
 
 Tags:
 
 Dan Brickley
 Gmail
 JSON-LD
 
 2013-05-17 About
 
 JSON-LD Syntax 1.0
 
 Tags:
 
 JSON-LD
 
 application/ld+json
 
 2012-09-05 About
 
 Recommended mimetype for JSON-LD payload? - Google Groups
 
 Tags:
 
 JSON-LD
 Mark Birbeck
 MIME type
 Olivier Grisel
 Talis RDF/JSON
 
 2012-09-02 About
 
 JSON-LD and MongoDB | Gregg Kellogg
 
 Tags:
 
 JSON-LD
 
 2012-08-23 About
 
 tristan/jsonld-java · GitHub
 
 Tags:
 
 GitHub project
 JSON-LD
 
 2012-08-14 About
 
 JSON-LD | The Beautiful, Tormented Machine
 
 Tags:
 
 JSON-LD
 Manu Sporny
 
 2012-02-20 About
 
 JSON-LD specification
 
 Tags:
 
 JSON-LD
 
 2011-06-09 About
 
 JSON-LD - Expressing Linked Data in JSON
 
 Tags:
 
 JSON-LD
 
 2010-12-03 About
 - LDOW2008
 fps AND LDOW2008
 
 What is Linked Data? » AI3:::Adaptive Information
 
 Tags:
 
 fps AND LDOW2008
 Linking Enterprise Data
 Link to me
 Mike Bergman
 
 > The Linking Open Data (LOD) group formed about 18 months ago to showcase Linked Data techniques began with open data. As a parallel concept to sever the idea that it only applies to open data, François-Paul Servant has specifically identified Linking Enterprise Data. Zitgist Offers a Definition and Some Answers to Enterprise Questions
 
 2008-06-24 About
 
 Linking Enterprise Data (slides)
 
 Tags:
 
 fps AND LDOW2008
 Linking Enterprise Data
 slides fps
 
 Slides of my talk at LDOW2008
 
 2008-05-08 About
 
 Linking Enterprise Data
 
 Tags:
 
 fps: paper
 fps AND LDOW2008
 Linking Enterprise Data
 RDF forms
 Semantic Enterprise
 
 My paper at LDOW2008
 
 2008-05-08 About
 
 swig-2008-04-22
 
 Tags:
 
 fps AND LDOW2008
 
 Include notes about my talk at ldow 2008
 
 2008-05-04 About
 
 Linked Data on the Web, WWW2008 | The Semantic Web | ZDNet.com
 
 Tags:
 
 fps AND LDOW2008
 Link to me
 Paul Miller
 
 2008-04-24 About
 
 Proceedings of the WWW2008 Workshop on Linked Data on the Web
 
 Tags:
 
 LDOW2008
 
 2010-09-16 About
 
 Flickr: Items tagged with ldow2008
 
 Tags:
 
 LDOW2008
 
 2008-05-06 About
 
 VirtualChaos - Nadeem’s blog » WWW2008: Day 2 - LDOW2008 Workshop
 
 Tags:
 
 LDOW2008
 
 2008-05-04 About
 
 Linked Data Trip Report - Part 1 (WWW2008)
 
 Tags:
 
 Kingsley Idehen
 LDOW2008
 
 2008-05-04 About
 
 Linked Data and Information Architecture
 
 Tags:
 
 LDOW2008
 Linked Data
 Orri Erling
 
 2008-05-04 About
 
 SitePoint Blogs » WWW2008 Beijing: Day 1 - Linked Data on the Web (LDOW 2008) Workshop
 
 Tags:
 
 David Peterson
 LDOW2008
 Tabulator
 Tim Berners-Lee
 
 2008-05-04 About
 
 I Really _Don't_ Know: LDOW2008
 
 Tags:
 
 LDOW2008
 
 2008-04-24 About
 
 Attending WWW2008 : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 LDOW2008
 WWW 2008
 
 2008-04-24 About
 
 An Entity Name System for Linking Semantic Web Data
 
 Tags:
 
 Giovanni Tummarello
 LDOW2008
 OKKAM
 
 The Semantic Web should provide a global space for the seamless integration of small knowledge bases (or local “semantic webs”) into a global, open, decentralized and scalable knowledge space. In this paper, we will try to defend the view that the practical realization of the grand vision of the Semantic Web as a huge graph of interlinked data would be much easier and faster if we could count on a service which, by analogy with the DNS, we call an Entity Name System (ENS), namely a service which stores and makes available for reuse URIs for any type of entity in a fully decentralized and open knowledge publication space.
 
 2008-04-05 About
 
 Meaning Of A Tag: A Collaborative Approach to Bridge the Gap Between Tagging and Linked Data
 
 Tags:
 
 Alexandre Passant
 LDOW2008
 MOAT
 
 2008-03-30 About
 
 Weaving SIOC into the Web of Linked Data
 
 Tags:
 
 Alexandre Passant
 LDOW2008
 Richard Cyganiak
 SIOC
 
 2008-03-30 About
 
 Linked Data on the Web (LDOW2008) - Workshop at WWW2008, Beijing, China
 
 Tags:
 
 LDOW2008
 
 2007-12-17 About
 
 Falcons
 
 Tags:
 
 LDOW2008
 Semantic Web search engine
 
 Falcons is a keyword-based search engine for Semantic Web entities. It enables searching concepts guided by recommended vocabularies, searching objects guided by recommended concepts, and browsing entity summarization via concept spaces.
 
 2007-11-09 About
 - Linked Data: application
 Configuration as Linked Data
 Seevl
 
 The Semantic Puzzle | Seevl: Explore the cultural universe based on semantic web technologies
 
 Tags:
 
 JSON
 Seevl
 
 2011-05-24 About
 
 reinventing music discovery - seevl.net
 
 Tags:
 
 Seevl
 
 Seevl reinvents music discovery. We provide new ways to explore the cultural and musical universe of your favorite artists and to discover new ones by understanding how they are connected.
 
 2011-05-15 About
 
 Solid
 
 Callimachus - Data-driven applications made easy
 
 Tags:
 
 http://www.semanlink.net/tag/semanlink2_related
 Linked Data
 Linked Data: application
 RDF Template
 
 Build Linked Data Applications ... directly in your Web Browser
 
 2014-05-17 About
 
 CiteSeerX — Collaborative Creation of Semantic Points of Interest as Linked Data on the Mobile Phone
 
 Tags:
 
 Collaborative ontologie creation
 Linked Data: application
 Points of Interest
 
 The novel mobile application csxPOI (short for: collaborative, semantic, and context-aware points-of-interest) enables its users to collaboratively create, share, and modify semantic points of interest (POI). Semantic POIs describe geographic places with explicit semantic properties of a collaboratively created ontology. As the ontology includes multiple subclassifications and instantiations and as it links to DBpedia, the richness of annotation goes far beyond mere textual annotations such as text. With the intuitive interface of csxPOI, users can easily create, delete, and modify their POIs and those shared by others. Thereby, the users adapt the structure of the ontology underlying the semantic annotations of the POIs. Data mining techniques are employed to cluster and thus improve the quality of the collaboratively created POIs. The semantic POIs and collaborative POI ontology are published as Linked Open Data.
 
 2013-04-16 About
 
 Linked Data in Action: Library of Congress
 
 Tags:
 
 Kingsley Idehen
 Library of Congress
 Linked Data: application
 
 2008-06-12 About
 - Linked Data / collaborative editing
 Collaborative ontologie creation
 
 CiteSeerX — Collaborative Creation of Semantic Points of Interest as Linked Data on the Mobile Phone
 
 Tags:
 
 Collaborative ontologie creation
 Linked Data: application
 Points of Interest
 
 The novel mobile application csxPOI (short for: collaborative, semantic, and context-aware points-of-interest) enables its users to collaboratively create, share, and modify semantic points of interest (POI). Semantic POIs describe geographic places with explicit semantic properties of a collaboratively created ontology. As the ontology includes multiple subclassifications and instantiations and as it links to DBpedia, the richness of annotation goes far beyond mere textual annotations such as text. With the intuitive interface of csxPOI, users can easily create, delete, and modify their POIs and those shared by others. Thereby, the users adapt the structure of the ontology underlying the semantic annotations of the POIs. Data mining techniques are employed to cluster and thus improve the quality of the collaboratively created POIs. The semantic POIs and collaborative POI ontology are published as Linked Open Data.
 
 2013-04-16 About
 
 Collaborative semantic editing of linked data lexica
 
 Tags:
 
 Linked Data / collaborative editing
 Semantic Wiki
 
 The creation of language resources is a time-consuming process requiring the efforts of many people. The use of resources col- laboratively created by non-linguists can potentially ameliorate this situation. However, such resources often contain more errors compared to resources created by experts. For the particular case of lexica, we analyse the case of Wiktionary, a resource created along wiki principles and argue that through the use of a principled lexicon model, namely lemon, the resulting data could be better understandable to machines. We then present a platform called lemon source that supports the creation of linked lexical data along the lemon model. This tool builds on the concept of a semantic wiki to enable collaborative editing of the resources by many users concurrently. In this paper, we describe the model, the tool and present an evaluation of its usability based on a small group of users.
 
 2013-04-17 About
 - Linked Data API
 Elda
 
 Elda -- an implementation of the Linked Data API
 
 Tags:
 
 Elda
 
 2011-01-24 About
 
 Linked Data API for JavaScript
 
 Tags:
 
 JavaScript
 Linked Data API
 Tabulator
 
 2013-07-15 About
 
 Linked data API | Epimorphics
 
 Tags:
 
 Epimorphics
 Linked Data API
 
 2012-03-20 About
 
 Survey - Existing JSON RDF formats
 
 Tags:
 
 Linked Data API
 RDF-in-JSON
 
 2012-02-21 About
 
 linked-data-api: assumptions and goals
 
 Tags:
 
 Linked Data API
 
 2012-01-11 About
 
 Specification - linked-data-api - Linked Data API Specification - Project Hosting on Google Code
 
 Tags:
 
 Leigh Dodds
 Linked Data API
 
 The API is intended to be a middle-ware layer that can be deployed in-front of a SPARQL endpoint, providing the ability to create a RESTful data access layer for accessing the RDF data contained in the triple store. The middle-ware is configurable, and is intended to support a range of different access patterns and output formats. "Out of the box" the system provides delivery of the standard range of RDF serialisations, as well as simple JSON and XML serializations for descriptions of lists of resources. The API essentially maps parameterized URLs to underlying SPARQL queries, mediating the content negotiation of the results into a suitable format for the client.
 
 2010-02-25 About
 - Linked Data Browser
 RDF2h
 
 Try RDF2h in your web browser
 
 Tags:
 
 RDF2h
 
 2018-02-20 About
 
 RDF2h Browser
 
 Tags:
 
 RDF2h
 
 2018-02-20 About
 
 RDF browser
 Disco Hyperdata Browser
 Tabulator
 Javascript RDF Parser in IE
 
 Demande 258: Patch for improved IE support - Tabulator Issue Tracker
 
 Tags:
 
 Javascript RDF Parser in IE
 Richard Cyganiak
 
 2008-04-01 About
 
 Javascript RDF Parser in ie
 
 Tags:
 
 Javascript RDF Parser in IE
 
 Modifications made to code of tabulator-0.8-2007-02-01T16-43Z to have the javascript RDF Parser working with internet explorer 6 and 7. This is not a complete port of Tabulator: it only concerns the RDF parser (and the way to invoke Ajax). It has not been fully tested (only with simple RDF, without lists, anonymous resources, etc.)
 
 2007-12-17 About
 
 Linked Data API for JavaScript
 
 Tags:
 
 JavaScript
 Linked Data API
 Tabulator
 
 2013-07-15 About
 
 SitePoint Blogs » WWW2008 Beijing: Day 1 - Linked Data on the Web (LDOW 2008) Workshop
 
 Tags:
 
 David Peterson
 LDOW2008
 Tabulator
 Tim Berners-Lee
 
 2008-05-04 About
 
 Dave Brondsema's Blog - Javascript RDFParser from Tabulator
 
 Tags:
 
 Javascript RDF Parser
 Sample code
 Tabulator
 
 2007-07-04 About
 
 Tabulator: Generic data browser
 
 Tags:
 
 Tabulator
 
 2007-01-06 About
 
 Tabulator: Exploring and Analyzing linked data on the Semantic Web
 
 Tags:
 
 Tabulator
 
 2007-01-02 About
 
 Zitgist
 
 Linked Data by Zitgist
 
 Tags:
 
 Linked Data
 Linking Enterprise Data
 Link to me
 Zitgist
 
 2008-07-19 About
 
 Exploding the Domain: UMBEL Web Services by Zitgist at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Umbel
 Zitgist
 
 2008-04-25 About
 
 Zitgist DataViewer at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Zitgist
 
 2007-12-08 About
 
 Zitgist’s RDF Browser: Browse the Semantic Web at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 RDF Templating
 Zitgist
 
 2007-06-22 About
 
 Zitgist: the Semantic Web Query Service
 
 Tags:
 
 Zitgist
 
 2007-05-23 About
 
 Q&D RDF Browser
 
 Tags:
 
 RDF browser
 
 [ex montrant un tag semanlink](http://graphite.ecs.soton.ac.uk/browser/?uri=http%3A%2F%2Fwww.semanlink.net%2Ftag%2Fnlp)
 
 2018-07-10 About
 
 Data-Oriented Web Browser
 
 Tags:
 
 Danny Ayers
 RDF browser
 
 2011-08-28 About
 
 ontology-browser - An OWL Ontology and RDF (Linked Open Data) Browser - Google Project Hosting
 
 Tags:
 
 Linked Data Browser
 OWL ontology browser
 RDF browser
 RDF-OWL documentation tool
 
 2011-07-19 About
 
 LinkSailor
 
 Tags:
 
 RDF browser
 Talis platform
 
 2011-04-19 About
 
 OpenLink Data Explorer Extension
 
 Tags:
 
 OpenLink Software
 RDF browser
 
 2010-12-28 About
 
 DataO - Browser of the Web of Data
 
 Tags:
 
 RDF browser
 Web of data
 
 2009-01-28 About
 
 Sheaflight Home
 
 Tags:
 
 Linked Data
 Microsoft
 RDF browser
 
 2008-09-02 About
 
 Marbles
 
 Tags:
 
 RDF browser
 
 2008-06-10 About
 
 DriftR Linked Data Browser and Editor (Screencast) - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 RDF browser
 RDF editor
 
 2007-12-31 About
 
 OpenLink RDF Browser
 
 Tags:
 
 RDF browser
 
 2007-03-29 About
 
 Fresnel - Display Vocabulary for RDF
 
 Tags:
 
 IHM
 RDF
 RDF browser
 
 Presenting Semantic Web content in a human-readable way consists in addressing two issues: specifying what information contained in an RDF graph should be presented and how this information should be presented. We developed Fresnel as a browser-independent vocabulary of core RDF display concepts applicable across different representation paradigms and output formats.
 
 2007-01-02 About
 
 DEMO of the STITCH project ("Semantic Interoperability To access Cultural Heritage")
 
 Tags:
 
 RDF browser
 Rijksmuseum
 SKOS
 
 The STITCH DEMO webserver demonstrates the added value of semantical integration of multiple collections. The collections that are linked by the prototype RDF Multi-Faceted-Search browser are the Rijksmuseum Masterpieces Collection (ARIA) and the Medieval Illuminated Manuscripts at the National Library of the Netherlands SKOS is used to enable mixing/merging of separate vocabularies: Cultural-heritage collections are typically indexed with metadata derived from a range of different vocabularies, such as AAT, Iconclass and in-house standards. This presents a problem when one wants to use multiple collections in an interoperable way. In general, it is unrealistic to assume unification of vocabularies. Vocabularies have been developed in many sub-domains, each with their own emphasis and scope. Still, there is significant overlap between the vocabularies used for indexing. The prime research objective of this subproject is to develop theory, methods and tools for allowing metadata interoperability through semantic links between the vocabularies.
 
 2006-04-07 About
 
 Wilbur-and-O: OINK
 
 Tags:
 
 Lisp
 Ora Lassila
 RDF browser
 
 "RDF browser", built using Wilbur. I am tired of looking RDF data in the RDF/XML (or any other syntactic) form. It seems that an RDF graph can easily be rendered as hypertext, and browsing is a very intuitive way to navigate data. Loading multiple RDF documents into Wilbur's triple-store and viewing them all together offers a simple way to integrate data, ad hoc. I've dubbed this piece of software "OINK" for "Open Integration of Networked Knowledge" (really).
 
 2006-03-22 About
 
 sig.ma
 
 Richard Cyganiak: Sigma EE – Reaping low-hanging fruits in RDF-based data integration – I-SEMANTICS
 
 Tags:
 
 RDF bus
 Richard Cyganiak
 sig.ma
 
 Richard Cyganiak had a brilliant talk about how corporate data integration can benefit from RDF-Solutions, because a RDF based data concept can be developed step-by-step in contradiction to a “conservative corporate data integration” which always goes with a general redesign of the whole data-structure of a company. Richard calls this “pay as you go” – and I think this is what the industry looks for.” (from http://blog.semantic-web.at/2010/09/06/the-review-in-a-car/)
 
 2010-07-01 About
 
 fps on sig.ma - Semantic Information MAshup
 
 Tags:
 
 fps
 sig.ma
 
 2009-08-27 About
 
 sig.ma - Semantic Information MAshup
 
 Tags:
 
 sig.ma
 
 2009-08-27 About
 
 Facilitating the Exploration and Visualization of Linked Data
 
 Tags:
 
 Linked Data Browser
 Linked Data Exploration
 
 2015-08-30 About
 
 Browsing and Traversing Linked Data with LODmilla
 
 Tags:
 
 Linked Data
 Linked Data Browser
 
 2014-09-05 About
 
 ontology-browser - An OWL Ontology and RDF (Linked Open Data) Browser - Google Project Hosting
 
 Tags:
 
 Linked Data Browser
 OWL ontology browser
 RDF browser
 RDF-OWL documentation tool
 
 2011-07-19 About
 - Linked Data Cache
 
 Populating Personal Linked Data Caches using Context Models [PDF]
 
 Tags:
 
 Linked Data Cache
 Personal data
 Tom Heath
 
 2013-01-07 About
 - Linked Data demo
 
 Linked Enterprise Data in a nutshell « Web of Data
 
 Tags:
 
 4store
 Linked Data demo
 Michael Hausenblas
 
 2010-09-30 About
 
 Talis Platform - Demos
 
 Tags:
 
 BBC
 Leigh Dodds
 Linked Data demo
 Talis platform
 
 2010-08-25 About
 
 Description of: http://demo.openlinksw.com/Northwind/Customer/ALFKI
 
 Tags:
 
 Kingsley Idehen
 Linked Data demo
 Linking Enterprise Data
 OpenLink Software
 Semantic web: evangelization
 
 2008-09-12 About
 - Linked Data Dev
 
 From Idea to Web - Creating Linked Data Apps
 
 Tags:
 
 Benjamin Nowack
 Linked Data Dev
 REST
 SemTechBiz Berlin 2012
 
 2012-02-11 About
 
 Linking patterns - Semantic Web Standards
 
 Tags:
 
 Design pattern
 Linked Data Dev
 
 2012-01-03 About
 
 Toward a Basic Profile for Linked Data
 
 Tags:
 
 IBM developerWorks
 Linked Data Dev
 
 A collection of best practices and a simple approach for a Linked Data architecture
 
 2011-12-27 About
 - Linked Data Exploration
 
 Facilitating the Exploration and Visualization of Linked Data
 
 Tags:
 
 Linked Data Browser
 Linked Data Exploration
 
 2015-08-30 About
 
 Discovery Hub
 
 Tags:
 
 Linked Data Exploration
 To see
 Web search
 
 The exploratory search is a new way to search the web, not to find what you are searching, but to find what you are not searching, and might be intersting for you !
 
 2013-09-07 About
 
 Discovery Hub: on-the-fly linked data exploratory search
 
 Tags:
 
 Fabien Gandon
 Linked Data Exploration
 Slides
 
 2013-09-07 About
 - Linked Data Fragments
 Triple Pattern Fragment
 
 Triple Pattern Fragment
 
 Tags:
 
 Triple Pattern Fragment
 
 2015-01-30 About
 
 Ruben Verborgh sur Twitter : "Just published 25,000+ #RDF triples of my own data as #OpenData: https://t.co/1jqy3ZgrjJ Query them live: https://t.co/B96KBPnG9C #dogfood"
 
 Tags:
 
 Linked Data Fragments
 Ruben Verborgh
 
 2016-12-31 About
 
 Understanding linked data fragments
 
 Tags:
 
 Linked Data Fragments
 public-hydra@w3.org
 
 2015-02-14 About
 
 Towards Web-scale Web querying | Ruben Verborgh
 
 Tags:
 
 Linked Data Fragments
 Ruben Verborgh
 
 So what kinds of questions should a server answer? Well, we have to design questions in such a way that their answers enable clients to solve queries.
 
 2015-01-30 About
 
 600,000 queryable datasets—and counting | Ruben Verborgh
 
 Tags:
 
 Linked Data Fragments
 Ruben Verborgh
 
 The LOD Laundromat and Triple Pattern Fragments offer scalable Web querying.
 
 2015-01-30 About
 
 Re: TPF and DBMSes (was Re: Hydra and Shapes) from Ruben Verborgh on 2014-11-26 (public-hydra@w3.org from November 2014)
 
 Tags:
 
 Hydra
 Linked Data Fragments
 RDF forms
 
 Triple Pattern Fragments are just the Linked Data principles, but instead of only hyperlinks, it's hyperlinks and forms, like the rest of the Web
 
 2014-11-26 About
 
 Hydra W3C Community Group
 
 Tags:
 
 Hydra
 Linked Data Fragments
 W3C Community Group
 
 Hydra simplifies the development of interoperable, hypermedia-driven Web APIs
 
 2014-10-29 About
 
 Linked Data Fragments
 
 Tags:
 
 Linked Data Fragments
 
 2014-10-29 About
 
 Linked Data Fragments
 
 Tags:
 
 Linked Data Fragments
 
 make the Web of Data Web-scale by moving intelligence from servers to clients.
 
 2014-10-28 About
 - Linked Data Platform
 CIMBA
 Cloud based LOD platform
 LDP: implementations
 Apache Marmotta
 
 redlink
 
 Tags:
 
 Apache Marmotta
 John Pereira
 Rupert Westenthaler
 Semantic startup
 Solr
 Stanbol
 
 2015-03-09 About
 
 Apache Marmotta
 
 Tags:
 
 Apache Marmotta
 
 2013-04-26 About
 
 LindaProposal - Incubator Wiki
 
 Tags:
 
 Apache Marmotta
 Sebastian Schaffert
 
 The goal of Apache Linda is to provide an open implementation of a Linked Data Platform that can be used, extended, and deployed easily by organizations who want to publish Linked Data or build custom applications on Linked Data.
 
 2012-11-19 About
 
 Graphity on Github
 
 Tags:
 
 LDP: implementations
 
 Graphity client: Generic Linked Data browser and platform for building declarative SPARQL triplestore-backed Web applications Graphity server: Generic Linked Data server for SPARQL tripestore backends. Java (Jena) + SPARQL + Jersey
 
 2014-10-13 About
 
 Re: LDP interfaces in Java (based on Jena and JAX-RS) from Jürgen Jakobitsch on 2012-08-06 (public-ldp-wg@w3.org from August 2012)
 
 Tags:
 
 Jena
 LDP: implementations
 
 2014-09-10 About
 
 LDP4j
 
 Tags:
 
 Java library
 LDP: implementations
 
 Open-source Java-based framework for the development of read-write Linked Data applications based on the LDP 1.0 specification. Provides an extensible LDP Server and an extensible LDP Client <a href="http://www.ldp4j.org/tutorials/eswc2015/pdfs/eswc-2015-tutorial-4-hands-on.pdf">How to</a>
 
 2014-07-21 About
 
 LDP Implementations - W3C Wiki
 
 Tags:
 
 LDP: implementations
 LDP @ W3C
 
 2014-07-12 About
 
 LDP: updates
 LD-PATCH
 
 Changeset
 
 Tags:
 
 Ian Davis
 LDP: updates
 RDF Vocabularies
 Talis
 
 This vocabulary defines a set of terms for describing changes to resource descriptions.
 
 2014-09-15 About
 
 RDF Patch – Describing Changes to an RDF Dataset
 
 Tags:
 
 Andy Seaborne
 HTTP PATCH
 LDP: updates
 RDF
 
 RDF Patch is a file format for recording changes made to an RDF dataset. It can be used for replicating changes between multiple copies of the same dataset or as an incremental backups format. The design emphasizes deployment concerns such as scalability and efficient processing.
 
 2013-08-21 About
 
 LDP @ W3C
 
 Linked Data Platform - wiki
 
 Tags:
 
 LDP @ W3C
 Wiki
 
 2014-09-25 About
 
 W3C Publishes Linked Data Platform Best Practices and Guidelines - Semanticweb.com
 
 Tags:
 
 LDP @ W3C
 
 2014-08-28 About
 
 LDP Implementations - W3C Wiki
 
 Tags:
 
 LDP: implementations
 LDP @ W3C
 
 2014-07-12 About
 
 Linked Data Platform 1.0
 
 Tags:
 
 LDP @ W3C
 
 2012-10-29 About
 
 W3C Linked Data Platform Working Group Charter
 
 Tags:
 
 LDP @ W3C
 
 2012-07-30 About
 
 The Read-Write Secure Data Web, Henry Story at semwebpro 2014
 
 Tags:
 
 Henry Story
 Linked Data Platform
 Read-Write Linked Data
 Read-Write Secure Data Web
 
 2014-11-08 About
 
 Introduction to: Linked Data Platform - Semanticweb.com
 
 Tags:
 
 Introduction
 Linked Data Platform
 
 2014-07-12 About
 - Linked Data Service
 
 NAKALA | TGIR Huma-Num
 
 Tags:
 
 Linked Data Service
 
 Partant du constat que de nombreux producteurs de données scientifiques ne disposent pas de l'infrastructure numérique nécessaire qui permettrait un accès persistant et interopérable à leurs données, la TGIR Huma-Num a mis en oeuvre un nouveau service d'exposition de données appelé NAKALA. NAKALA propose deux grands types de services : des services d'accès aux données elles-mêmes et des services de présentation des métadonnées. Les producteurs de données numériques ainsi soulagés de la gestion purement technique, peuvent ainsi se consacrer à la valorisation scientifique de leurs données.
 
 2014-09-22 About
 
 sameas.org
 
 Tags:
 
 Hugh Glaser
 Linked Data Service
 
 The Web of Data has many equivalent URIs. This service helps you to find co-references between different data sets.
 
 2010-03-10 About
 - Linked Learning
 Linked Learning 2012
 
 Semantic CMS and Wikis as Platforms for Linked Learning
 
 Tags:
 
 Linked Learning
 Linked Learning 2012
 Semantic CMS
 
 2012-04-17 About
 
 Talis Aspire
 
 Tags:
 
 Linked Learning
 Linked Learning 2012
 Semantic CMS
 Talis
 Tom Heath
 
 2012-04-17 About
 
 Linked Learning 2012
 
 Tags:
 
 Linked Learning
 Linked Learning 2012
 Workshop
 WWW 2012
 
 2011-12-17 About
 
 Semantic CMS and Wikis as Platforms for Linked Learning
 
 Tags:
 
 Linked Learning
 Linked Learning 2012
 Semantic CMS
 
 2012-04-17 About
 
 Talis Aspire
 
 Tags:
 
 Linked Learning
 Linked Learning 2012
 Semantic CMS
 Talis
 Tom Heath
 
 2012-04-17 About
 
 Using Linked Data to Reduce Learning Latency for e-Book Readers
 
 Tags:
 
 Linked Learning
 
 Best paper award at Linked Learning 2011 In this paper we have presented our research, which focuses on integrating Linked Data results into e-book navigation tools for students in order to enhance social learning. We base our work on user annotations, we process these annotations with Linked Data technologies, we use the produced synthetized results to modify our e-book display; we hope to maximize reading and learning efficiency, to create common environments and implicitly, communication opportunities.
 
 2011-12-17 About
 
 Linked Learning 2012
 
 Tags:
 
 Linked Learning
 Linked Learning 2012
 Workshop
 WWW 2012
 
 2011-12-17 About
 - Linking Enterprise Data
 fps AND LDOW2008
 
 What IBM, the Semantic Web Company, and Siemens are doing with semantic technologies | ZDNet
 
 Tags:
 
 Enterprise Knowledge Graph
 IBM
 Linking Enterprise Data
 Semantic Enterprise Architecture
 
 2016-09-17 About
 
 EDF2013: Talk of European Data Innovator Award Winner: Michael Gorriz, CIO of Daimler: From Old to New Economy
 
 Tags:
 
 Daimler
 Linking Enterprise Data
 
 2013-05-07 About
 
 Enhancing Enterprise 2.0 Ecosystems Using Semantic Web and Linked Data Technologies:The SemSLATES Approach - Springer
 
 Tags:
 
 Alexandre Passant
 Linking Enterprise Data
 Link to me
 Semantic Enterprise
 
 2013-04-17 About
 
 The Semantic Web Has Gone Mainstream! Wanna Bet? - semanticweb.com
 
 Tags:
 
 Juan Sequeda
 Linking Enterprise Data
 Peter Mika
 Semantic Web
 
 2012-05-10 About
 
 Workshop Report: Linked Enterprise Data Patterns
 
 Tags:
 
 Linking Enterprise Data
 W3C
 
 2012-02-05 About
 
 Linked Enterprise Data Patterns
 
 Tags:
 
 Design pattern
 Enterprise Data
 Linked Data
 Linking Enterprise Data
 
 2011-10-08 About
 
 Linking Enterprise Data : the book
 
 Tags:
 
 Enterprise Data
 Linking Enterprise Data
 
 2011-02-02 About
 
 I’ve got a Federated Bridge to Sell You (A Defense of the Warehouse) - semanticweb.com
 
 Tags:
 
 Data integration
 Data Warehouse
 Enterprise Data
 ETL
 Linking Enterprise Data
 
 This is not at all to say that semantically linking datasets isn’t valuable. On the contrary! I believe that coating old, weather-beaten databases with a coat of semantic paint is awesomely valuable. It makes creating ETL pipelines that bring together data from all kinds of locations a breeze as compared to traditional, relationally-oriented ETL pipelines. It’s hardly even fair to compare the two approaches, except insofar as the maturity of the traditional technologies is concerned, and I’ll try to pick up on specific reasons for this belief in future posts. In fact, I see semantics as enabling on-demand datamarts in ways that traditional data integration technologies simply have failed to do
 
 2011-01-07 About
 
 Linking Enterprise Data: the book
 
 Tags:
 
 Linking Enterprise Data
 
 2010-10-25 About
 
 Extracting Enterprise Vocabularies Using Linked Open Data
 
 Tags:
 
 IBM
 Linking Enterprise Data
 Linking Open Data
 
 A common vocabulary is vital to smooth business operation, yet codifying and maintaining an enterprise vocabulary is an arduous, manual task. We describe a process to automatically extract a domain specific vocabulary (terms and types) from unstructured data in the en- terprise guided by term definitions in Linked Open Data (LOD). We validate our techniques by applying them to the IT (Information Tech- nology) domain, taking 58 Gartner analyst reports and using two specific LOD sources – DBpedia and Freebase. We show initial findings that ad- dress the generalizability of these techniques for vocabulary extraction in new domains, such as the energy industry. IBM Watson Research Center
 
 2010-05-31 About
 
 Fresh Perspectives on the Semantic Enterprise » AI3:::Adaptive Information
 
 Tags:
 
 Linking Enterprise Data
 Mike Bergman
 Semantic Enterprise
 
 "We can truly call RDF a disruptive data model or framework. But, it does so without disrupting what exists in the slightest. And that is a most remarkable achievement."
 
 2009-10-08 About
 
 Linking enterprise data - Recherche Google
 
 Tags:
 
 Google
 Linking Enterprise Data
 Link to me
 
 Premier sur la liste ! (2009-09-21)
 
 2009-09-21 About
 
 Description of: http://demo.openlinksw.com/Northwind/Customer/ALFKI
 
 Tags:
 
 Kingsley Idehen
 Linked Data demo
 Linking Enterprise Data
 OpenLink Software
 Semantic web: evangelization
 
 2008-09-12 About
 
 Linked Data by Zitgist
 
 Tags:
 
 Linked Data
 Linking Enterprise Data
 Link to me
 Zitgist
 
 2008-07-19 About
 
 Zepheira :: Community :: Linking Enterprise Data
 
 Tags:
 
 Linking Enterprise Data
 
 2008-06-25 About
 
 What is Linked Data? » AI3:::Adaptive Information
 
 Tags:
 
 fps AND LDOW2008
 Linking Enterprise Data
 Link to me
 Mike Bergman
 
 > The Linking Open Data (LOD) group formed about 18 months ago to showcase Linked Data techniques began with open data. As a parallel concept to sever the idea that it only applies to open data, François-Paul Servant has specifically identified Linking Enterprise Data. Zitgist Offers a Definition and Some Answers to Enterprise Questions
 
 2008-06-24 About
 
 Linking Enterprise Data (slides)
 
 Tags:
 
 fps AND LDOW2008
 Linking Enterprise Data
 slides fps
 
 Slides of my talk at LDOW2008
 
 2008-05-08 About
 
 Linking Enterprise Data
 
 Tags:
 
 fps: paper
 fps AND LDOW2008
 Linking Enterprise Data
 RDF forms
 Semantic Enterprise
 
 My paper at LDOW2008
 
 2008-05-08 About
 - Linking Open Data
 Calais
 
 Linked Data Entity Extraction with Zemanta and OpenCalais - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Calais
 Entity linking
 Linked Data
 Zemanta
 
 2010-08-12 About
 
 Extractiv Launches "Semantics as a Service" Platform
 
 Tags:
 
 Calais
 ReadWriteWeb.com
 Semantic Web : Tools
 Text to semantic data
 
 A service that crawls the Web for text on a specific topic, then transforms it into "structured semantic data." It's a direct competitor to Thomson Reuters' Calais product.
 
 2010-07-30 About
 
 Calais Release 4 and the Linking Data cloud… « Ivan’s private site
 
 Tags:
 
 Calais
 
 2008-12-10 About
 
 dbpedia
 DBTune
 
 Live SPARQL end-point for BBC Programmes - DBTune blog
 
 Tags:
 
 BBC - Programmes
 DBTune
 SPARQL endpoint
 
 2010-05-14 About
 
 Music recommendation and Linked Data - DBTune blog
 
 Tags:
 
 DBTune
 Linked Data
 Yves Raymond
 
 2009-11-12 About
 
 Equivalence mining
 LDOW2008
 LOD & museum
 LOD2
 
 LOD2 Plenary and Open Data Meet-up in Mannheim
 
 Tags:
 
 Chris Bizer
 LOD2
 Orri Erling
 
 2014-02-27 About
 
 NLP2RDF | Converting NLP tool output to RDF
 
 Tags:
 
 LOD2
 NLP
 RDF
 
 2012-02-28 About
 
 The Semantic Puzzle | The hype, the hope and the LOD2: Sören Auer engaged in the next generation LOD
 
 Tags:
 
 LOD2
 Sören Auer
 
 2011-05-12 About
 
 blog.aksw.org » AKSW coordinates EU-funded research project LOD2 aiming to take the Web of Linked Data to the next level
 
 Tags:
 
 Exalead
 Freie Universität Berlin
 LOD2
 
 2010-09-06 About
 
 LOD cloud
 
 CKAN LOD Datasets
 
 Tags:
 
 Linked Data
 LOD cloud
 Validator
 
 This website gives an overview of Linked Data sources cataloged on CKAN and their completeness level for inclusion in the LOD cloud. It furthermore offers a validator for your CKAN entry with step-by-step guidance.
 
 2011-09-23 About
 
 LOD mailing list
 
 Expensive links in Linked Data from SERVANT Francois-Paul on 2012-09-28 (public-lod@w3.org from September 2012)
 
 Tags:
 
 fps' post
 LOD mailing list
 
 s :expensiveProp o. [a v:Link ; v:property :expensiveProp ; v:subject s ; v:object o.] <a href="http://lists.w3.org/Archives/Public/public-lod/2012Oct/0002.html">my proposal</a>
 
 2012-10-01 About
 
 Google's structured seach talk / Google squared UI
 
 Tags:
 
 Freebase
 Google
 Linked Data
 LOD mailing list
 
 2011-02-14 About
 
 CoIN: Composition of Identifier Names
 
 Tags:
 
 LOD mailing list
 Minting URIs
 URI opacity
 
 The “URI opacity” axiom does not say that URIs should be opaque. It says that clients should *treat them* as opaque.
 
 2010-04-27 About
 
 Comments on Data 3.0 manifesto
 
 Tags:
 
 Entity-attribute-value model
 Kingsley Idehen
 LOD mailing list
 Richard Cyganiak
 
 2010-04-26 About
 
 Guerilla science: what can we do in 10 days?
 
 Tags:
 
 Biodiversity data
 Global human sensor net
 Linking Open Data
 LOD mailing list
 
 I recently invited participants in the upcoming e-Biosphere conference (June 1-3, London) to join me in a collective demonstration of the semantic web in action. The short story is that we'll be integrating wildlife observations with background biodiversity data to enable as many interesting queries (e.g., "show species out of range") as we can. The concept we're trying to illustrate: a global human sensor net
 
 2009-05-25 About
 
 [Linking-open-data] ann: Semantic Web Pipes
 
 Tags:
 
 Giovanni Tummarello
 LOD mailing list
 
 2007-11-15 About
 
 [Linking-open-data] How to get the uri of a non-information resource from the corresponding HTML page?
 
 Tags:
 
 fps' post
 LOD mailing list
 
 2007-09-25 About
 
 [Linking-open-data] Returning to backlinks
 
 Tags:
 
 Linked Data
 LOD: Limitations on browseable data
 LOD mailing list
 Richard Cyganiak
 Tim Berners-Lee
 
 The idea is to formalize the notion “If you're interested in values of a certain property, go look over there.”
 
 2007-09-19 About
 
 fps writes in response to [Linking-open-data] A Search Engine for URIs (T.Heath)
 
 Tags:
 
 fps' post
 LOD mailing list
 Uriqr
 
 2007-06-13 About
 
 [Linking-open-data] Forms in the web of data
 
 Tags:
 
 fps' post
 Linked Data
 LOD mailing list
 RDF forms
 
 Beside "href" links, forms are an important feature of the hypertext web. How does this transpose to the web of data? Shouldn't there be a standardized way to "include forms" in RDF data?
 
 2007-03-20 About
 
 LOD use case
 
 EventMedia
 
 Tags:
 
 LOD use case
 
 2012-10-09 About
 
 HdA Lab
 
 Tags:
 
 Alexandre Monnin
 Bertrand Sajus
 Culture et sem web
 Histoire de l'art
 LOD use case
 Patrimoine
 
 Explorez autrement le portail Histoire des Arts
 
 2012-10-09 About
 
 Pubby
 
 Pubby – A Linked Data Frontend for SPARQL Endpoints
 
 Tags:
 
 Pubby
 
 2007-06-23 About
 
 sindice
 Synonym URIs
 Equivalence mining
 URI Synonymity
 
 skos:Concept and "real world things"
 
 Tags:
 
 fps' post
 Semantics of skos:Concept
 URI Synonymity
 
 2008-05-15 About
 
 Managing Co-reference (Was: A Semantic Elephant?)
 
 Tags:
 
 SW: coreferences
 URI Synonymity
 
 2008-05-15 About
 
 Managing URI Synonymity to Enable Consistent Reference on the Semantic Web
 
 Tags:
 
 Hugh Glaser
 Synonym URIs
 URI Synonymity
 Web of data
 
 This paper sets out an architecture for managing URI equivalences on the Web of Data by using Consistent Reference Services. The underlying philosophy of the CRS is to treat URIs as first-class entities and separate the equivalences of a URI into a separate knowledge base that will be aware of both intra- repository and inter-repository synonymity. Equivalent URIs are grouped into bundles which are themselves given their own URI. When an application wishes to find an equivalent URI, the CRS can be queried to retrieve the corresponding bundle.
 
 2008-05-15 About
 
 canonicURI property (public-lod@w3.org from January 2013)
 
 Tags:
 
 fps' post
 Synonym URIs
 URI
 
 2013-01-04 About
 
 RFC 6596 - The Canonical Link Relation
 
 Tags:
 
 Synonym URIs
 URI
 
 2013-01-03 About
 
 Managing URI Synonymity to Enable Consistent Reference on the Semantic Web
 
 Tags:
 
 Hugh Glaser
 Synonym URIs
 URI Synonymity
 Web of data
 
 This paper sets out an architecture for managing URI equivalences on the Web of Data by using Consistent Reference Services. The underlying philosophy of the CRS is to treat URIs as first-class entities and separate the equivalences of a URI into a separate knowledge base that will be aware of both intra- repository and inter-repository synonymity. Equivalent URIs are grouped into bundles which are themselves given their own URI. When an application wishes to find an equivalent URI, the CRS can be queried to retrieve the corresponding bundle.
 
 2008-05-15 About
 
 [Linking-open-data] synonym URIs
 
 Tags:
 
 Chris Bizer
 Synonym URIs
 
 2007-06-13 About
 
 Tabulator
 Uriqr
 
 fps writes in response to [Linking-open-data] A Search Engine for URIs (T.Heath)
 
 Tags:
 
 fps' post
 LOD mailing list
 Uriqr
 
 2007-06-13 About
 
 Uriqr - A URI Search Engine
 
 Tags:
 
 Uriqr
 
 "URI everything, and everything is cool", right? But where do you find the URIs if you're doing this on a small scale? We have a great opportunity to spread the Linked Data message if we help people to make their FOAF files Linked Data, we just need to give them the tools. So, I created Uriqr (as in "eureka"), a simple little search engine aimed squarely at FOAF hackers and other RDF-aware people. It looks in a SPARQL endpoint of crawled data for any URIs rdfs:label'led or foaf:name'd with your search term(s). The results are then looked up against Sindice and ranked according to how many other documents reference them. This is cool when I want to get rid of some of the bNodes in my FOAF file, as it helps me decide which URIs to use for other people without having to look in their FOAF file.
 
 2007-06-13 About
 
 La construction d’un espace patrimonial partagé dans le Web de données ouvert
 
 Tags:
 
 Linking Open Data
 LOD & museum
 
 2016-09-05 About
 
 Extracting Enterprise Vocabularies Using Linked Open Data
 
 Tags:
 
 IBM
 Linking Enterprise Data
 Linking Open Data
 
 A common vocabulary is vital to smooth business operation, yet codifying and maintaining an enterprise vocabulary is an arduous, manual task. We describe a process to automatically extract a domain specific vocabulary (terms and types) from unstructured data in the en- terprise guided by term definitions in Linked Open Data (LOD). We validate our techniques by applying them to the IT (Information Tech- nology) domain, taking 58 Gartner analyst reports and using two specific LOD sources – DBpedia and Freebase. We show initial findings that ad- dress the generalizability of these techniques for vocabulary extraction in new domains, such as the energy industry. IBM Watson Research Center
 
 2010-05-31 About
 
 Guerilla science: what can we do in 10 days?
 
 Tags:
 
 Biodiversity data
 Global human sensor net
 Linking Open Data
 LOD mailing list
 
 I recently invited participants in the upcoming e-Biosphere conference (June 1-3, London) to join me in a collective demonstration of the semantic web in action. The short story is that we'll be integrating wildlife observations with background biodiversity data to enable as many interesting queries (e.g., "show species out of range") as we can. The concept we're trying to illustrate: a global human sensor net
 
 2009-05-25 About
 
 "E Pluribus Unum", or "Inversely Functional Identity", or "Smooshing Without the Stickiness" (re-updated)
 
 Tags:
 
 Inverse-functional properties
 Linking Open Data
 Orri Erling
 Smushing
 Virtuoso
 
 2008-12-17 About
 
 A New Constellation in the Linking Open Data (LOD) Sky » AI3:::Adaptive Information
 
 Tags:
 
 Linking Open Data
 Mike Bergman
 
 Class-level Mappings Now Generalize Semantic Web Connectivity
 
 2008-10-06 About
 - LOD: Limitations on browseable data
 
 [Linking-open-data] Returning to backlinks - Additional requirement: Paging
 
 Tags:
 
 Chris Bizer
 Linked Data
 LOD: Limitations on browseable data
 
 2007-09-19 About
 
 [Linking-open-data] Returning to backlinks
 
 Tags:
 
 Linked Data
 LOD: Limitations on browseable data
 LOD mailing list
 Richard Cyganiak
 Tim Berners-Lee
 
 The idea is to formalize the notion “If you're interested in values of a certain property, go look over there.”
 
 2007-09-19 About
 - LOD mailing list
 - LODr
 
 LODr (Alexandre Passant's instance)
 
 Tags:
 
 Alexandre Passant
 LODr
 
 2008-10-07 About
 
 Say hello to lodr.info : Alexandre Passant
 
 Tags:
 
 LODr
 
 2008-10-07 About
 - MOAT
 
 Meaning Of A Tag: A Collaborative Approach to Bridge the Gap Between Tagging and Linked Data
 
 Tags:
 
 Alexandre Passant
 LDOW2008
 MOAT
 
 2008-03-30 About
 
 MOAT: Meaning Of A Tag
 
 Tags:
 
 MOAT
 
 2008-01-20 About
 - Multimedia + LD
 
 Synote: Weaving Media Fragments and Linked Data
 
 Tags:
 
 LDOW2012
 Linked Data
 Multimedia + LD
 
 2012-04-16 About
 - Pubby
 - public-lod@w3.org
 
 Simple WebID, WebID+TLS Protocol, and ACL Dogfood Demo from Kingsley Idehen on 2013-08-06 (public-lod@w3.org from August 2013)
 
 Tags:
 
 Kingsley Idehen
 public-lod@w3.org
 WebID
 
 2013-08-06 About
 
 WebID Frustration from Hugh Glaser on 2013-08-06 (public-lod@w3.org from August 2013)
 
 Tags:
 
 Hugh Glaser
 public-lod@w3.org
 WebID
 
 2013-08-06 About
 - RDF browser
 - RDF forms
 - Read-Write Linked Data
 Linked Data Platform
 Read-Write Secure Data Web
 
 The Read-Write Secure Data Web, Henry Story at semwebpro 2014
 
 Tags:
 
 Henry Story
 Linked Data Platform
 Read-Write Linked Data
 Read-Write Secure Data Web
 
 2014-11-08 About
 
 SPARQL Update
 
 SPARQL Update
 
 Tags:
 
 SPARQL Update
 W3C Submission
 
 2008-10-21 About
 
 SPARQL Update
 
 Tags:
 
 Andy Seaborne
 SPARQL Update
 
 2008-10-21 About
 
 The Read-Write Secure Data Web, Henry Story at semwebpro 2014
 
 Tags:
 
 Henry Story
 Linked Data Platform
 Read-Write Linked Data
 Read-Write Secure Data Web
 
 2014-11-08 About
 
 rww.io: data cloud
 
 Tags:
 
 Personal cloud
 Read-Write Linked Data
 To see
 
 2013-09-22 About
 
 Linked Data Basic Profile 1.0
 
 Tags:
 
 Linked Data
 Read-Write Linked Data
 
 A set of best practices and simple approach for a read-write Linked Data architecture, based on HTTP access to web resources that describe their state using RDF.
 
 2012-09-30 About
 
 Using read/write Linked Data for Application Integration – Towards a Linked Data Basic Profile
 
 Tags:
 
 LDOW2012
 Read-Write Linked Data
 
 2012-04-16 About
 
 Read-Write linked data - Design Issues
 
 Tags:
 
 Read-Write Linked Data
 Tim Berners-Lee
 Web architecture
 
 2011-03-08 About
 - Resources-Oriented Web Services
 
 Hello World: What your API would look like as a WebPage
 
 Tags:
 
 Resources-Oriented Web Services
 Samuel Goto
 
 2014-11-15 About
 
 Hello World: ROWS
 
 Tags:
 
 Linked Data
 Resources-Oriented Web Services
 Restful semantic web services
 Samuel Goto
 Schema.org Actions
 
 Resources-Oriented Web Services (ROWS) is a set of technologies that enable the programmatic discovery, description and invocation of actions on resources.
 
 2014-10-21 About
 - Semantic Web Client Library
 - sindice
 - Solid
 - SW: coreferences
 
 Managing Co-reference (Was: A Semantic Elephant?)
 
 Tags:
 
 SW: coreferences
 URI Synonymity
 
 2008-05-15 About
 - Synonym URIs
 - Tabulator
 - URIBurner
 
 Kingsley Uyi Idehen sur Twitter : "When I read this & other articles, I leverage our @datasniff browser ext. for highlighting key terms;
 
 Tags:
 
 Diffbot
 Kingsley Idehen
 Tweet
 URIBurner
 
 [UriBurner example](https://linkeddata.uriburner.com/about/html/https://linkeddata.uriburner.com/about/id/entity/https/www.technologyreview.com/2020/11/12/1011944/artificial-intelligence-replication-crisis-science-big-tech-google-deepmind-facebook-openai/)
 
 2020-11-14 About
 
 URIBurner: Painless Generation & Exploitation of Linked Data
 
 Tags:
 
 Kingsley Idehen
 URIBurner
 
 2010-06-17 About
 - Uriqr
 - URI Synonymity
 - Wikidata
 Wikidata/RDF
 
 Wikidata/Development/RDF
 
 Tags:
 
 Wikidata/RDF
 
 2013-09-12 About
 
 Wikidata browser
 
 ringgaard/sling: SLING - A natural language frame semantics parser
 
 Tags:
 
 GitHub project
 Wikidata browser
 
 [Try It](doc:2021/03/wikidata_browser)
 
 2021-03-08 About
 
 Wikidata browser
 
 Tags:
 
 Wikidata browser
 
 [GitHub](doc:2021/03/ringgaard_sling_sling_a_natu)
 
 2021-03-06 About
 
 Wikidata query service
 
 wikidata-query-gui/nearby.html at master · wikimedia/wikidata-query-gui
 
 Tags:
 
 Sample code
 Wikidata query service
 
 > reuse the code for #Wikidata #query #ui to build your own #SPARQL driven application > Tourist guide with just a few lines of JS code
 
 2017-11-21 About
 
 wikimedia/wikidata-query-gui
 
 Tags:
 
 Wikidata query service
 
 the GUI for the Wikidata Query Service.
 
 2017-10-28 About
 
 maxlath/wikidata-sdk: A javascript tool-suite to query Wikidata and simplify its results
 
 Tags:
 
 Javascript tool
 Wikidata query service
 
 2017-10-28 About
 
 Wikidata query service/User Manual - MediaWiki
 
 Tags:
 
 Wikidata query service
 
 2015-09-08 About
 
 Wikidata Query Service
 
 Tags:
 
 Wikidata query service
 
 2015-09-08 About
 
 TitanPad: SPARQL queries against the Wikidata endpoint
 
 Tags:
 
 Wikidata query service
 
 2015-09-08 About
 
 Wiki History Game
 
 Tags:
 
 Jeux
 Wikidata
 
 wikidata turned into a trivia card game [tweet](https://twitter.com/tom_j_watson/status/1482716797736529922)
 
 2022-01-16 About
 
 Lord of the Wiki Ring: Importing Wikidata into Neo4j and analyzing family trees
 
 Tags:
 
 Neo4j
 Wikidata
 
 2020-06-17 About
 
 Nandana Mihindukulasooriya sur Twitter : "I wonder if there is a service for disambiguation and entity linking for @wikidata where I can pass a text and get Wikidata entities mentioned in it!
 
 Tags:
 
 Entity linking
 Tweet
 Wikidata
 
 2019-07-13 About
 
 Technical usability of Wikidata’s linked data
 
 Tags:
 
 Linked Data
 Wikidata
 
 2019-05-07 About
 
 Learning to Map Wikidata Entities To Predefined Topics
 
 Tags:
 
 Entities to topics
 Wikidata
 
 2019-05-03 About
 
 [1810.09164] Named Entity Disambiguation using Deep Learning on Graphs
 
 Tags:
 
 Arxiv Doc
 Entity linking
 NLP: short texts
 Wikidata
 
 Evaluation of different deep learning **techniques to create a context vector from graphs, aimed at high-accuracy NED**. (neural approach for entity disambiguation using graphs as background knowledge) > We tackle Named Entity Disambiguation (NED) by comparing entities in short sentences with Wikidata graphs. Creating a context vector from graphs through deep learning is a challenging problem that has never been applied to NED. Our main contribution is to present an experimental study of recent neural techniques, as well as a discussion about which graph features are most important for the disambiguation task... [published paper](https://rd.springer.com/chapter/10.1007/978-3-030-15719-7_10) In NED, the system must be able to generate a context for an entity in a text and an entity in a knowledge base, then correctly link the two. Explore whether representing graphs as triplets is more useful than using the full topological information of the graph
 
 2019-04-26 About
 
 Gaze of time | Timelines and Chronologies curated by the community
 
 Tags:
 
 Timeline
 Wikidata
 
 2018-03-06 About
 
 Wikidata, a rapidly growing global hub, turns five – Wikimedia Blog
 
 Tags:
 
 Wikidata
 
 2017-11-01 About
 
 wikidata-taxonomy
 
 Tags:
 
 Taxonomies
 Wikidata
 
 Command-line tool to extract taxonomies from Wikidata.
 
 2017-10-29 About
 
 #PageRank-based #Wikidata autocomplete powered by #Apache #Solr
 
 Tags:
 
 PageRank
 Solr
 Solr - autocomplete
 Wikidata
 
 2017-10-21 About
 
 Wikidata Class Browser
 
 Tags:
 
 Wikidata
 
 2016-04-22 About
 
 www.blazegraph.com
 
 Tags:
 
 Graph database
 Wikidata
 
 2015-03-30 About
 
 Reasonator
 
 Tags:
 
 Wikidata
 
 Wikidata - in pretty!
 
 2014-01-26 About
 
 Words and what not: #Wikidata & #Freebase - an #interview with Denny Vrandečić
 
 Tags:
 
 Denny Vrandečić
 Freebase
 Wikidata
 
 2013-11-21 About
 
 Wikidata/Data model primer
 
 Tags:
 
 Wikidata
 
 2013-09-12 About
 
 Wikidata/Data model primer
 
 Tags:
 
 Wikidata
 
 2013-09-12 About
 
 Introduction à Wikidata
 
 Tags:
 
 Introduction
 Wikidata
 
 2013-09-11 About
 
 State of Wikidata (Wikimania 2013) - Google Drive
 
 Tags:
 
 Wikidata
 
 2013-08-12 About
 
 Wikidata Map Interface
 
 Tags:
 
 Denny Vrandečić
 Wikidata
 
 2013-07-12 About
 
 Wikidata presentation at SemTechBiz Berlin 2012
 
 Tags:
 
 Denny Vrandečić
 SemTechBiz Berlin 2012
 Wikidata
 
 2013-07-10 About
 
 At SemTechBiz, Knowledge Graphs Are Everywhere - semanticweb.com
 
 Tags:
 
 Knowledge Graphs
 SemTechBiz
 Wikidata
 Yahoo!
 
 2013-06-18 About
 
 Export of Wikidata in RDF
 
 Tags:
 
 Wikidata
 
 first draft of how Wikidata phase II will be published in RDF
 
 2012-08-06 About
 
 WikiData – Announcing Wikipedia’s Next Big Thing | Data Liberate
 
 Tags:
 
 Wikidata
 
 2012-02-08 About
 - Yago
 
 LINDEN: Linking Named Entities with Knowledge Base via Semantic Knowledge
 
 Tags:
 
 Named Entity Recognition
 WWW 2012
 Yago
 
 Wei Shen, Jianyong Wang, Ping Luo, Min Wang
 
 2012-04-19 About
 
 Factorizing Yago: scalable machine learning for the sw
 
 Tags:
 
 Linked Data
 Machine Learning + Semantic Web
 WWW 2012
 Yago
 
 RECAL is a relational learning approach that can be applied ti vomplete knowledge bases in the lod cloud <a href="http://www.cip.ifi.lmu.de/~nickel">code, etc. </a>
 
 2012-04-18 About
 
 YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia - Paper
 
 Tags:
 
 Yago
 
 We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains more than 1 million entities and 5 million facts. This includes the Is-A hierarchy as well as non-taxonomic relations between entities (such as hasWonPrize). The facts have been automatically extracted from Wikipedia and unified with WordNet, using a carefully designed combination of rule-based and heuristic methods described in this paper. The resulting knowledge base is a major step beyond WordNet: in quality by adding knowledge about individuals like persons, organizations, products, etc. with their semantic relationships – and in quantity by increasing the number of facts by more than an order of magnitude. Our empirical evaluation of fact correctness shows an accuracy of about 95%. YAGO is based on a logically clean model, which is decidable, extensible, and compatible with RDFS. Finally, we show how YAGO can be further extended by state-of-the-art information extraction techniques.
 
 2007-05-23 About
 
 Yago - A Core of Semantic Knowledge
 
 Tags:
 
 Yago
 
 2007-05-23 About
 - Zitgist
 
 Technical usability of Wikidata’s linked data
 
 Tags:
 
 Linked Data
 Wikidata
 
 2019-05-07 About
 
 Designing a Linked Data developer experience | Ruben Verborgh
 
 Tags:
 
 Good
 Javascript RDF
 Linked Data
 Ruben Verborgh
 Solid
 
 2019-04-12 About
 
 Creating functional linked-data solutions | Brinxmat's blog
 
 Tags:
 
 Brinxmat
 Linked Data
 
 2016-04-09 About
 
 What's happening to http://vocab.deri.ie/ ? http://vocab.deri.ie/void for…
 
 Tags:
 
 Bernard Vatant
 DERI
 fps' post
 Linked Data
 SW is flawed
 URI
 
 vocab.deri.ie is down again. Relying on URIs to identify things turns out to be very flimsy. URIs are not cool. As it is, the sem web / web of linked data is flawed. We need a way to identify things that do not depend on one person or one organization.
 
 2015-04-29 About
 
 Hello World: ROWS
 
 Tags:
 
 Linked Data
 Resources-Oriented Web Services
 Restful semantic web services
 Samuel Goto
 Schema.org Actions
 
 Resources-Oriented Web Services (ROWS) is a set of technologies that enable the programmatic discovery, description and invocation of actions on resources.
 
 2014-10-21 About
 
 W3C - Linked Data: Standards and Drafts
 
 Tags:
 
 Linked Data
 W3C
 
 2014-09-14 About
 
 Browsing and Traversing Linked Data with LODmilla
 
 Tags:
 
 Linked Data
 Linked Data Browser
 
 2014-09-05 About
 
 Callimachus - Data-driven applications made easy
 
 Tags:
 
 http://www.semanlink.net/tag/semanlink2_related
 Linked Data
 Linked Data: application
 RDF Template
 
 Build Linked Data Applications ... directly in your Web Browser
 
 2014-05-17 About
 
 Best Practices for Publishing Linked Data
 
 Tags:
 
 Linked Data
 Linked Data publishing
 
 2014-03-25 About
 
 September 25: Linked Data in Developing Countries - National Information Standards Organization
 
 Tags:
 
 Developing countries
 Linked Data
 
 Implementing Linked Data in Developing Countries and Low-Resource Conditions
 
 2013-08-26 About
 
 Tutorial: Linked Data Query Processing
 
 Tags:
 
 Linked Data
 Olaf Hartig
 Tutorial
 WWW 2013
 
 2013-05-18 About
 
 Linked Data: Evolving the Web into a Global Data Space
 
 Tags:
 
 Chris Bizer
 Howto
 Linked Data
 Tom Heath
 Web of data
 
 Superseds the <a href="http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/">paper</a> by C. Bizer, T. Heath and cygri
 
 2012-11-22 About
 
 Keynote Video and Updates from the Amsterdam Fire Department - semanticweb.com
 
 Tags:
 
 Amsterdam
 Linked Data
 SemTechBiz Berlin 2012
 
 2012-11-08 About
 
 on the issue of conflicting requirements when creating linked data applications. – webr3.org
 
 Tags:
 
 Linked Data
 Nathan Rixham
 
 2012-10-22 About
 
 Linked Data Basic Profile 1.0
 
 Tags:
 
 Linked Data
 Read-Write Linked Data
 
 A set of best practices and simple approach for a read-write Linked Data architecture, based on HTTP access to web resources that describe their state using RDF.
 
 2012-09-30 About
 
 Sindicetech: enterprise linked data clouds
 
 Tags:
 
 Big Data
 Cloud
 Linked Data
 sindice
 
 Big Data meets Semantic Web. And it all makes sense. We're helping large enterprises build their own, Private Linked Data Clouds.
 
 2012-07-31 About
 
 Talis shuts down semantic web operations
 
 Tags:
 
 Gartner
 Linked Data
 Talis
 
 We feel that there isn't and won't be an addressable market that coalesces around the technologies themselves. Rather, they are being absorbed into mainstream use. Both data.gov.uk and the BBC were highlighted by analyst company Gartner in a recent research report that described linked data as "the best way of opening, integrating and sharing data to meet the needs of the evolving web".
 
 2012-07-11 About
 
 Pragmatic Approaches to the Semantic Web » AI3:::Adaptive Information
 
 Tags:
 
 Good
 Knowledge Representation
 Linked Data
 Mike Bergman
 Web of data
 
 Semantic technologies are fundamentally about knowledge representation, not data transfer.
 
 2012-05-15 About
 
 Linked-data-connecting-and-exploiting-big-data-(v1.0).pdf
 
 Tags:
 
 Big Data
 Fujitsu
 Linked Data
 
 2012-04-25 About
 
 From Linked Data to Linked Entities: a Migration Path - Giovanni Bartolomeo, Stefano Salsano
 
 Tags:
 
 Entity linking
 Linked Data
 URI Identity
 WWW 2012
 
 2012-04-20 About
 
 Linked Data on the Web Workshop at WWW 2012 - semanticweb.com
 
 Tags:
 
 Linked Data
 Web of data
 Workshop
 WWW 2012
 
 2012-04-20 About
 
 Factorizing Yago: scalable machine learning for the sw
 
 Tags:
 
 Linked Data
 Machine Learning + Semantic Web
 WWW 2012
 Yago
 
 RECAL is a relational learning approach that can be applied ti vomplete knowledge bases in the lod cloud <a href="http://www.cip.ifi.lmu.de/~nickel">code, etc. </a>
 
 2012-04-18 About
 
 NERD meets NIF: Lifting NLP Extraction Results to the Linked Data Cloud
 
 Tags:
 
 LDOW2012
 Linked Data
 NLP
 
 NERD, an API and a front-end user inter- face powered by an ontology to unify various named entity extractors NIF: AN NLP INTERCHANGE FORMAT
 
 2012-04-16 About
 
 Synote: Weaving Media Fragments and Linked Data
 
 Tags:
 
 LDOW2012
 Linked Data
 Multimedia + LD
 
 2012-04-16 About
 
 Le plus grand projet Open Data / Linked Data français bientôt ouvert
 
 Tags:
 
 Antidot
 France
 Linked Data
 Open Data
 
 2012-03-05 About
 
 Question answering over Linked Data - Interacting with Linked Data
 
 Tags:
 
 ESWC
 Linked Data
 NLP
 Workshop
 
 2012-01-05 About
 
 EUNIS biodiversity database
 
 Tags:
 
 Biodiversité
 Biodiversity data
 Database
 Linked Data
 
 2012-01-03 About
 
 Linked Enterprise Data Patterns
 
 Tags:
 
 Design pattern
 Enterprise Data
 Linked Data
 Linking Enterprise Data
 
 2011-10-08 About
 
 CKAN LOD Datasets
 
 Tags:
 
 Linked Data
 LOD cloud
 Validator
 
 This website gives an overview of Linked Data sources cataloged on CKAN and their completeness level for inclusion in the LOD cloud. It furthermore offers a validator for your CKAN entry with step-by-step guidance.
 
 2011-09-23 About
 
 linkededucation.org
 
 Tags:
 
 Education
 Linked Data
 
 2011-09-14 About
 
 Open data : l'exception culturelle? | Atelier Français
 
 Tags:
 
 Linked Data
 Meetup Web Sémantique
 Open Data
 Patrimoine
 
 2011-09-10 About
 
 Linked Data Patterns
 
 Tags:
 
 Design pattern
 Howto
 Ian Davis
 Leigh Dodds
 Linked Data
 
 A pattern catalogue for modelling, publishing, and consuming Linked Data
 
 2011-09-10 About
 
 Patrimoine et Web de données | Les petites cases
 
 Tags:
 
 Digital Humanities
 Les petites cases
 Linked Data
 Patrimoine
 
 2011-09-01 About
 
 ProductDB
 
 Tags:
 
 Ian Davis
 Linked Data
 
 ProductDB aims to be the World's most comprehensive and open source of product data. Not only do we want to create a page for every product in the world, we want to connect the underlying structured data together into one huge interlinked dataset. All the data is published as Linked Data.
 
 2011-06-23 About
 
 schema.rdfs.org
 
 Tags:
 
 Linked Data
 Microdata
 schema.org
 
 Effort by people from the Linked Data community to express the terms provided by the Schema.org consortium in RDF.
 
 2011-06-07 About
 
 Linked Data Tutorial - Publishing and consuming linked data with RDFa
 
 Tags:
 
 Linked Data
 Michael Hausenblas
 RDFa
 Richard Cyganiak
 Tutorial
 
 2011-03-24 About
 
 Linked Data - The Story So Far
 
 Tags:
 
 Chris Bizer
 Linked Data
 Tim Berners-Lee
 Tom Heath
 
 2011-03-08 About
 
 Google's structured seach talk / Google squared UI
 
 Tags:
 
 Freebase
 Google
 Linked Data
 LOD mailing list
 
 2011-02-14 About
 
 Linked My Music
 
 Tags:
 
 Gautier Poupeau
 Linked Data
 Musique
 Semantic mashups
 
 2011-01-18 About
 
 BBC - Radio Labs: Brands, series, categories and tracklists on the new BBC Programmes
 
 Tags:
 
 BBC - Programmes
 Linked Data
 Yves Raymond
 
 The general philosophy behind BBC Programmes is that our web site is our API
 
 2011-01-18 About
 
 Thinking ‘Inside the Box’ with Description Logics » AI3:::Adaptive Information
 
 Tags:
 
 Description Logic
 Linked Data
 Mike Bergman
 
 2011-01-05 About
 
 New York Times - Linked Open Data
 
 Tags:
 
 Linked Data
 New York Times
 
 2010-12-13 About
 
 Linked Data: An Introduction | Navigating New Horizons
 
 Tags:
 
 Linked Data
 Semantic web : présentation
 
 2010-09-02 About
 
 Using Freebase Gridworks to Create Linked Data | Jeni's Musings
 
 Tags:
 
 Freebase
 Howto
 Linked Data
 
 2010-08-27 About
 
 Linked Data Entity Extraction with Zemanta and OpenCalais - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Calais
 Entity linking
 Linked Data
 Zemanta
 
 2010-08-12 About
 
 Publishing Local Open Data - Important Lessons from the Open Election Data project | data.gov.uk
 
 Tags:
 
 Election
 Government data as Linked Data
 Linked Data
 
 2010-07-30 About
 
 GoodRelations Annotator
 
 Tags:
 
 GoodRelations
 Linked Data
 Web of data
 
 GoodRelations Annotator and GoodRelations Snippet Generator: The easy way to advertise your business on the Web of Linked Data.
 
 2010-07-19 About
 
 RDFizing and Interlinking the EuroStat Data Set Effort - riese
 
 Tags:
 
 Linked Data
 Semantic Statistics
 
 2010-07-16 About
 
 DataLift - un ascenseur pour vos données
 
 Tags:
 
 Linked Data
 
 Datalift est un projet de recherche expérimentale financé par l'agence nationale de la recherche. Le but du projet est de développer une plateforme pour publier et interconnecter des jeux de données sur le web de données. Datalift à la fois publie des jeux de données provenant d'un réseau de partenaires et propose un ensemble d'outils facilitant le processus de publication de jeux de données.
 
 2010-07-09 About
 
 linked-data.png
 
 Tags:
 
 Linked Data
 
 2010-07-01 About
 
 Linked Data Patterns
 
 Tags:
 
 Design pattern
 Leigh Dodds
 Linked Data
 
 2010-05-10 About
 
 The Tetherless World Weblog » Putting open Facebook data into Linked Data Cloud
 
 Tags:
 
 Facebook
 Linked Data
 
 2010-04-28 About
 
 The Semantic Puzzle | Linking Open Data to Thesaurus Management
 
 Tags:
 
 Linked Data
 SKOS
 Thesaurus
 
 PoolParty service, a SKOS-based thesaurus management tool with linked data capabilities.
 
 2010-03-07 About
 
 Linked Data Horizon Scan
 
 Tags:
 
 Linked Data
 Paul Miller
 
 This Linked Data Horizon Scan was commissioned from Paul Miller of the Cloud of Data by the Joint Information Systems Committee (JISC). The work was intended to provide an overview of current developments with respect to Linked Data, and to make a series of recommendations to JISC and the wider community
 
 2010-03-02 About
 
 Photos, livres, musiques, what else ? | Les petites cases
 
 Tags:
 
 Les petites cases
 Linked Data
 MP3
 
 Prototype né de l'envie de transformer en RDF les métadonnées ID3 embarquées dans mes fichiers MP3 et de les relier aux données du Linked Data
 
 2010-02-22 About
 
 Music recommendation and Linked Data - DBTune blog
 
 Tags:
 
 DBTune
 Linked Data
 Yves Raymond
 
 2009-11-12 About
 
 Linked Data FAQ
 
 Tags:
 
 FAQ
 Linked Data
 Link to me
 
 2009-10-05 About
 
 SKOS + DC + Linked Data = Semantic Tagging? - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Linked Data
 Semanlink related
 Semantic tagging
 SKOS
 
 2009-08-27 About
 
 Tim Berners-Lee on the next Web | Video on TED.com
 
 Tags:
 
 Linked Data
 Semantic web: evangelization
 TED
 Tim Berners-Lee
 
 2009-05-05 About
 
 SKOS implementation: Rameau subjects as linked data
 
 Tags:
 
 BNF
 Linked Data
 SKOS
 
 Announce: release an *experimental* service [1] that provides the RAMEAU subject headings as open linked data. Rameau [2] is the main subject vocabulary used at the French national library (BnF) and many other French institutions. This site, a result of the TELplus project, and a collaboration between the Vrije Universiteit Amsterdam and BnF, aims at encouraging experimentation with Rameau on the web of da
 
 2009-04-28 About
 
 SPARCool
 
 Tags:
 
 Alexandre Passant
 Linked Data
 SPARQL
 
 SPARCool offers a way to run SPARQL queries about any URI that follows the Linked Data principles by calling a simple URL based on the http://sparcool.net/format/predicate[;l=lang]/URI pattern.
 
 2009-04-21 About
 
 Linked Data FAQ
 
 Tags:
 
 FAQ
 Linked Data
 Link to me
 
 2009-04-14 About
 
 Creating, Deploying and Exploiting Linked Data
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 Slides
 
 2009-01-15 About
 
 Mediterranean Ceramics: RDFa at Ilion
 
 Tags:
 
 Asie mineure
 Grèce antique
 Linked Data
 RDFa
 
 The Greek, Roman and Byzantine Pottery at Ilion (GRPBIlion) database exports its content as Linked Data using RDFa
 
 2008-12-08 About
 
 Deploying Linked Data (Virtuoso)
 
 Tags:
 
 Linked Data
 Virtuoso
 
 2008-09-20 About
 
 Sheaflight Home
 
 Tags:
 
 Linked Data
 Microsoft
 RDF browser
 
 2008-09-02 About
 
 Connecting Freebase, Wikipedia, DBpedia, and other Linked Data Spaces
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 Virtuoso
 
 2008-09-01 About
 
 Linked Data by Zitgist
 
 Tags:
 
 Linked Data
 Linking Enterprise Data
 Link to me
 Zitgist
 
 2008-07-19 About
 
 Creating, Deploying and Exploiting Linked Data
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 Slides
 
 2008-06-19 About
 
 ESWC2008 Conference Data
 
 Tags:
 
 Chris Bizer
 ESWC
 Linked Data
 Richard Cyganiak
 
 This page provides an overview about different access mechanisms to the RDF dataset about the 5th European Semantic Web Conference (ESWC2008) and explains how the dataset can be used within different Semantic Web applications.
 
 2008-05-29 About
 
 [Linking-open-data] Fw: linking geonames concepts to wikipedia and other concept
 
 Tags:
 
 Bernard Vatant
 dbpedia
 Linked Data
 Richard Cyganiak
 Semantics of skos:Concept
 
 2008-05-15 About
 
 Linked Data and Information Architecture
 
 Tags:
 
 LDOW2008
 Linked Data
 Orri Erling
 
 2008-05-04 About
 
 linkeddata.org
 
 Tags:
 
 Linked Data
 
 2008-03-20 About
 
 triplify: expose semantics
 
 Tags:
 
 Linked Data
 Semantic Web : Tools
 
 Triplify provides a building block for the “semantification” of Web applications. Triplify is a small plugin for Web applications, which reveals the semantic structures encoded in relational databases by making database content available as RDF, JSON or Linked Data. Triplify is very light weight
 
 2008-03-18 About
 
 99 Wikipedia Sources Aiding the Semantic Web » AI3:::Adaptive Information
 
 Tags:
 
 Linked Data
 Wikipedia
 
 2008-03-04 About
 
 The Encyclopedia of Life and Linking Open Data » AI3:::Adaptive Information
 
 Tags:
 
 Encyclopedia of Life
 Linked Data
 
 2007-11-14 About
 
 [Linking-open-data] Returning to backlinks - Additional requirement: Paging
 
 Tags:
 
 Chris Bizer
 Linked Data
 LOD: Limitations on browseable data
 
 2007-09-19 About
 
 [Linking-open-data] Returning to backlinks
 
 Tags:
 
 Linked Data
 LOD: Limitations on browseable data
 LOD mailing list
 Richard Cyganiak
 Tim Berners-Lee
 
 The idea is to formalize the notion “If you're interested in values of a certain property, go look over there.”
 
 2007-09-19 About
 
 The Semantic Naturalist
 
 Tags:
 
 Biodiversity data
 Histoire naturelle
 Linked Data
 Semantic Web blog
 
 Musings on natural history, geography, and the semantic web (Blog).
 
 2007-09-13 About
 
 Injecting Facebook Data into the Semantic Data Web
 
 Tags:
 
 Facebook
 Kingsley Idehen
 Linked Data
 
 2007-07-28 About
 
 How to publish Linked Data on the Web?
 
 Tags:
 
 Chris Bizer
 Linked Data
 Richard Cyganiak
 Tom Heath
 
 2007-07-12 About
 
 How to publish Linked Data on the Web?
 
 Tags:
 
 Chris Bizer
 Howto
 Linked Data
 Richard Cyganiak
 Tom Heath
 
 2007-06-27 About
 
 Linking Open Data mailing list at simile
 
 Tags:
 
 Linked Data
 Mailing list
 SIMILE
 
 2007-06-23 About
 
 Linking open data: interlinking the Jamendo and the Musicbrainz datasets - DBTune blog
 
 Tags:
 
 Jamendo
 Linked Data
 MusicBrainz
 
 2007-06-13 About
 
 My Personal Library and the Semantic Web at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Good
 Hypercard
 Linked Data
 Livre
 
 2007-06-08 About
 
 The Music Data Space at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Linked Data
 MusicBrainz
 Musique
 
 2007-05-31 About
 
 Hello Data Web (Take 3 - Feel The "RDF" Force)
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 
 Exemples de connexion à des sources de données RDF via ajax (ne marche pas avec Safari)
 
 2007-05-21 About
 
 Linked Data at WWW2007: GRDDL, SPARQL, and Wikipedia, oh my!
 
 Tags:
 
 Dan Connolly
 GRDDL
 Linked Data
 SPARQL
 
 2007-05-19 About
 
 Ping the Semantic Web.com - Share your RDF data with the World!
 
 Tags:
 
 Frederick Giasson
 Linked Data
 RDF Service
 
 2007-04-25 About
 
 Open Source Projects @ Freie Universität Berlin
 
 Tags:
 
 Freie Universität Berlin
 Linked Data
 Open Source
 Semantic Web : Application
 
 2007-04-20 About
 
 Turning the Web into a Database
 
 Tags:
 
 Chris Bizer
 Linked Data
 Slides
 
 2007-04-19 About
 
 RDF Book Mashup
 
 Tags:
 
 Chris Bizer
 Linked Data
 Livre
 
 Serving RDF descriptions of your books. The RDF book mashup demonstrates how Web 2.0 data sources like Amazon, Google or Yahoo can be integrated into the Semantic Web.
 
 2007-04-14 About
 
 Personal URIs & Data Spaces
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 
 2007-04-03 About
 
 [Linking-open-data] Re: Forms in the web of data (Richard Cyganiak)
 
 Tags:
 
 Good
 Linked Data
 RDF forms
 Richard Cyganiak
 
 2007-03-20 About
 
 [Linking-open-data] Forms in the web of data
 
 Tags:
 
 fps' post
 Linked Data
 LOD mailing list
 RDF forms
 
 Beside "href" links, forms are an important feature of the hypertext web. How does this transpose to the web of data? Shouldn't there be a standardized way to "include forms" in RDF data?
 
 2007-03-20 About
 
 Linking-open-data - Wiki
 
 Tags:
 
 Linked Data
 
 The goal of the Linking Open Data project is to make various open data sources available on the Web as RDF and to set RDF links between data items from different data sources.
 
 2007-03-01 About
 
 Links on the Semantic Web
 
 Tags:
 
 AJAR
 Linked Data
 Tim Berners-Lee
 
 2007-01-02 About
 
 Linked Data - Design Issues
 
 Tags:
 
 Linked Data
 Tim Berners-Lee
 
 The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML, for data they links between arbitrary things described by RDF,. The URIs identify any kind of object or concept. But for HTML or RDF, the same expectations apply to make the web grow: <ol> <li>Use URIs as names for things</li> <li>Use HTTP URIs so that people can look up those names.</li> <li>When someone looks up a URI, provide useful information.</li> <li>Include links to other URIs. so that they can discover more things.</li> </ol> Simple. In fact, though, a surprising amount of data isn't linked in 2006, because of problems with one or more of the steps. This article discusses solutions to these problems, details of implementation, and factors affecting choices about how you publish your data.
 
 2007-01-02 About
 
 Best Practice Recipes for Publishing RDF Vocabularies
 
 Tags:
 
 Howto
 httpRange-14 (solution)
 Linked Data
 Publishing RDF Vocabularies
 W3C Working Draft
 
 This document describes best practice recipes for publishing an RDFS or OWL vocabulary or ontology on the Web. The features of each recipe are clearly described, so that vocabulary or ontology creators may choose the recipe best suited to the needs of their particular situations. Each recipe contains an example configuration for use with an Apache HTTP server, although the principles involved may be adapted to other environments. The recipes are all designed to be consistent with the architecture of the Web as currently specified.
 
 2006-03-14 About
 - Logic and semantic web
 - Machine Learning + Semantic Web
 - Meetup Web Sémantique
 - Metadata indexing
 - N-ary Relations on the Semantic Web
 - NLP + Sem web
 - Ontologies
 - Automotive Ontology Working Group
 
 The Automotive Ontology Working Group - Community - Google+
 
 Tags:
 
 Automotive Ontology Working Group
 GooglePlus
 
 2014-07-24 About
 
 The Automotive Ontology Working Group
 
 Tags:
 
 Automotive Ontology Working Group
 
 2014-07-24 About
 - Collaborative ontologie creation
 - Configuration ontology
 - Country ontologies
 
 Finding RDF instance data with Swoogle
 
 Tags:
 
 Country ontologies
 Finding RDF documents
 Swoogle
 
 Searching for country ontologies
 
 2005-06-02 About
 - FIBO
 
 SemTechBiz Puts Spotlight On Financial Industry Business Ontology - semanticweb.com
 
 Tags:
 
 FIBO
 SemTechBiz
 
 2013-04-27 About
 
 Financial Industry Business Ontology (FIBO)
 
 Tags:
 
 FIBO
 
 2013-04-16 About
 - Folksonomies vs ontologies
 
 Burningbird » Cheap Eats at the Semantic Web Café
 
 Tags:
 
 Folksonomies vs ontologies
 Shelley Powers
 Tagging
 Technorati
 
 2006-02-28 About
 - fps ontologies
 Configuration ontology
 GAO
 
 CSP - A vocabulary to represent Constraint Satisfaction Problems. | DERI Vocabularies
 
 Tags:
 
 Constraint Satisfaction Problem
 Fadi Badra
 fps: paper
 fps ontologies
 OSEMA/DERI-Renault paper
 OSEMA 2011
 RDF Vocabularies
 
 2011-06-29 About
 - GoodRelations
 - Ontologies: use cases
 
 NLP at Scale for Maintenance and Supply Chain Management
 
 Tags:
 
 Caterpillar
 Conversational AI
 Graph database
 Graph database and NLP
 Maintenance
 Neo4j
 Ontologies: use cases
 Supply chain
 Text and structured data (ML-NLP)
 Text and tabular data (ML-NLP)
 Text to SQL
 
 **The topic of natural language dialog between people and machines is probably going to be analytics**, and the mechanism to make that happen is natural language processing. **Graph databases make this possible because they have a very natural fit with language processing**.
 
 2019-12-07 About
 - Ontologie visualization
 
 Online Ontology Visualization · OWLGrEd: ConfigurationOntology
 
 Tags:
 
 Configuration ontology
 Ontologie visualization
 
 2015-01-30 About
 
 WebVOWL - Web-based Visualization of Ontologies
 
 Tags:
 
 Ontologie visualization
 
 2014-12-30 About
 - Ontology-based Data Access
 
 Virtual Knowledge Graphs: An Overview of Systems and Use Cases | MIT Press Journals (2019)
 
 Tags:
 
 Data integration
 Ontology-based Data Access
 Survey / Review
 Virtual knowledge graph
 
 > **Virtual knowledge graph (VKG) paradigm for data integration and access**, also known in the literature as **Ontology-based Data Access**. Instead of structuring the integration layer as a collection of relational tables, the VKG paradigm replaces the rigid structure of tables with the flexibility of graphs that are kept virtual and embed domain knowledge
 
 2019-05-28 About
 - Ontology Mapping
 
 EDOAL: Expressive and Declarative Ontology Alignment Language
 
 Tags:
 
 François Scharffe
 Ontology Mapping
 
 2012-11-10 About
 
 Reconciling concepts and relations in heterogeneous ontologies
 
 Tags:
 
 Ontology Mapping
 
 State of the art languages for ontology mapping enable to express semantic relations between homogeneous components of different ontologies, namely they allow to map concepts into concepts, individuals into individuals, and properties into properties. Many real cases, however, highlight the necessity to establish semantic relations between heterogeneous components. For example to map a concept into a relation or vice versa.
 
 2006-12-23 About
 
 UMBC eBiquity Publication: A Bayesian Methodology towards Automatic Ontology Mapping
 
 Tags:
 
 Bayesian analysis
 Ontology Mapping
 OWL
 
 2005-06-15 About
 - OWL
 Inverse-functional properties
 
 "E Pluribus Unum", or "Inversely Functional Identity", or "Smooshing Without the Stickiness" (re-updated)
 
 Tags:
 
 Inverse-functional properties
 Linking Open Data
 Orri Erling
 Smushing
 Virtuoso
 
 2008-12-17 About
 
 MyCarEvent
 
 MyCarEvent - Terminology and Methodology for populating the generic information model
 
 Tags:
 
 MyCarEvent
 
 2008-01-20 About
 
 MYCAREVENT: OWL and the automotive repair information supply chain - Proceedings of Extreme Markup Languages®
 
 Tags:
 
 MyCarEvent
 
 2007-10-05 About
 
 OWL: Introduction
 
 bobdc.blog: Some great W3C explanations of basic ontology concepts
 
 Tags:
 
 Bob DuCharme
 Ontologies
 OWL: Introduction
 
 2007-08-06 About
 
 OWL 1.1
 
 UserRequirements - owl1-1 - Google Code
 
 Tags:
 
 Christine Golbreich
 OWL 1.1
 OWLED
 
 Home page de la task force animée par Christine Golbreich
 
 2008-01-08 About
 
 OWL 1.1 Web Ontology Language Overview
 
 Tags:
 
 OWL 1.1
 
 2007-09-19 About
 
 Submission Request to W3C: OWL 1.1 Web Ontology Language
 
 Tags:
 
 Ian Horrocks
 OWL 1.1
 W3C Submission
 
 2007-09-19 About
 
 owl1-1 - Google Code
 
 Tags:
 
 OWL 1.1
 Wiki
 
 2007-06-27 About
 
 OWL 2
 
 SKOS Now Interoperates with OWL 2 | AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 OWL 2
 OWL DL
 SKOS/OWL
 
 2013-02-07 About
 
 Semai » Blog Archive » OWL 2 for RDF vocabularies
 
 Tags:
 
 Dave Reynolds
 OWL 2
 RDF Vocabularies
 
 2011-07-17 About
 
 W3C Semantic Web Activity News - Eleven W3C Publications Related to OWL 2
 
 Tags:
 
 OWL 2
 W3C
 
 2008-12-08 About
 
 OWL2Vec
 
 Chris Mungall sur Twitter : "Reading: OWL2Vec*: Embedding of OWL Ontologies"
 
 Tags:
 
 Embeddings
 Graph Embeddings
 OWL
 OWL2Vec
 Tweet
 
 2020-10-07 About
 
 OWL DL
 
 SKOS Now Interoperates with OWL 2 | AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 OWL 2
 OWL DL
 SKOS/OWL
 
 2013-02-07 About
 
 Structured Objects in OWL: Representation and Reasoning. In Proc. of the 17th Int. World Wide Web Conference (WWW 2008), Beijing
 
 Tags:
 
 OWL DL
 Reasoning
 Rules
 WWW 2008
 
 Very good presentation at WWW 2008. Nominated for the best paper award Abstract: Applications of semantic technologies often require the representation of and reasoning with structured objects—that is, objects composed of parts connected in complex ways. Although OWL is a general and powerful language, its class descriptions and axioms cannot be used to describe arbitrarily connected structures. An OWL representation of structured objects can thus be underconstrained, which reduces the inferences that can be drawn and causes performance problems in reasoning. To address these problems, we extend OWL with description graphs, which allow for the description of structured objects in a simple and precise way. To represent conditional aspects of the domain, we also allow for SWRL-like rules over description graphs. Based on an observation about the nature of structured objects, we ensure decidability of our formalism. We also present a hypertableau-based decision procedure, which we implemented in the HermiT reasoner. To evaluate its performance, we have extracted description graphs from the GALEN and FMA ontologies, classified them successfully, and even detected a modeling error in GALEN.
 
 2008-04-23 About
 
 CO-ODE
 
 Tags:
 
 Howto, tutorial, FAQ
 Ontologies
 OWL DL
 Protégé
 
 The CO-ODE project aims to build authoring tools and infrastructure that make ontology engineering easier. We specifically support the development and use of OWL-DL ontologies, by being heavily involved in the creation of infrastructure and plugins for the Protégé platform and more recently, OWL1.1 support for the OWL API.
 
 2007-07-26 About
 
 On the properties of metamodeling in OWL
 
 Tags:
 
 Conceptual modeling
 Inference
 OWL
 OWL DL
 OWL-Full
 Undecidability
 
 Abstract: A common practice in conceptual modeling is to separate the intensional from the extensional model. Although very intuitive, this approach is inadequate for many complex domains, where the borderline between the two models is not clear-cut. Therefore, OWL-Full, the most expressive of the Semantic Web ontology languages, allows combining the intensional and the extensional model by a feature we refer to as metamodeling. In this paper, we show that the semantics of metamodeling adopted in OWL-Full leads to undecidability of basic inference problems, due to free mixing of logical and metalogical symbols. Based on this result, we propose two alternative semantics for metamodeling: the contextual and the HiLog semantics. We show that SHOIQ— a description logic underlying OWL-DL— extended with metamodeling under either semantics is decidable. Finally, we show how the latter semantics can be used in practice to axiomatize the logical interaction between concepts and metaconcepts. Eagle is a type of RedListSpecies. Thus, RedListSpecies acts as a metaconcept for Eagle The examples such as the one given above are often dismissed with an argument that “eagle as a species” and “eagle as a set of all individual eagles” are not the one and the same thing, and should not be referred to using the same symbol...we simply observe that the word “eagle” in most people’s minds invokes a notion of a “mighty bird of prey.” The interpretation of this notion as a concept or as an individual is secondary and is often context-dependent, so using different symbols for the same intuitive notion makes the model unnecessarily complex.
 
 2006-12-01 About
 
 OWLED
 OWLED 2007
 OWLED 2007 AND fps
 
 "Semantic Web Technologies in Technical Automotive" - CEUR-WS.org/Vol-258 - OWL: Experiences and Directions 2007
 
 Tags:
 
 fps: paper
 OWLED 2007 AND fps
 
 Mon papier à OWLED 2007
 
 2007-07-13 About
 
 P2NotesOwled2007 - owl1-1 - Google Code
 
 Tags:
 
 OWLED 2007 AND fps
 
 2007-06-29 About
 
 S1NotesOwled2007 - owl1-1 - Google Code
 
 Tags:
 
 OWLED 2007 AND fps
 
 2007-06-29 About
 
 OWLED 2007 - LeibnizWiki
 
 Tags:
 
 OWLED 2007 AND fps
 
 2007-06-23 About
 
 CEUR-WS.org/Vol-258 - OWL: Experiences and Directions 2007
 
 Tags:
 
 OWLED 2007
 
 2007-07-13 About
 
 Structured Ontology Format
 
 Tags:
 
 OWL
 OWLED 2007
 
 Rob Shearer The University of Manchester (nice demo of an ajax script at OWLED 2007) Abstract. This paper presents a simple data model for the representation of OWL ontologies (including the new features of OWL 1.1). The model is built from basic structures native to all common programming environments, so it can be used directly as an API for ontology analysis and manipulation. Furthermore, serialization of these structures using the widely-supported YAML standard yields a readable text format suitable for ontology authoring by average users with text editors and code-management tools.
 
 2007-06-07 About
 
 OWLED 2007 Program
 
 Tags:
 
 OWLED 2007
 
 2007-06-04 About
 
 EasyChair. Login Page for OWLED 2007
 
 Tags:
 
 OWLED 2007
 
 2007-05-05 About
 
 OWL: Experiences and Directions - OWLED 2007
 
 Tags:
 
 OWLED 2007
 
 2007-03-04 About
 
 UserRequirements - owl1-1 - Google Code
 
 Tags:
 
 Christine Golbreich
 OWL 1.1
 OWLED
 
 Home page de la task force animée par Christine Golbreich
 
 2008-01-08 About
 
 OWLED 2007
 OWL editor
 
 Altova SemanticWorks
 
 Tags:
 
 OWL editor
 RDF editor
 
 RDF/OWL editor from the creators of XMLSpy
 
 2005-10-06 About
 
 OWL-Full
 
 On the properties of metamodeling in OWL
 
 Tags:
 
 Conceptual modeling
 Inference
 OWL
 OWL DL
 OWL-Full
 Undecidability
 
 Abstract: A common practice in conceptual modeling is to separate the intensional from the extensional model. Although very intuitive, this approach is inadequate for many complex domains, where the borderline between the two models is not clear-cut. Therefore, OWL-Full, the most expressive of the Semantic Web ontology languages, allows combining the intensional and the extensional model by a feature we refer to as metamodeling. In this paper, we show that the semantics of metamodeling adopted in OWL-Full leads to undecidability of basic inference problems, due to free mixing of logical and metalogical symbols. Based on this result, we propose two alternative semantics for metamodeling: the contextual and the HiLog semantics. We show that SHOIQ— a description logic underlying OWL-DL— extended with metamodeling under either semantics is decidable. Finally, we show how the latter semantics can be used in practice to axiomatize the logical interaction between concepts and metaconcepts. Eagle is a type of RedListSpecies. Thus, RedListSpecies acts as a metaconcept for Eagle The examples such as the one given above are often dismissed with an argument that “eagle as a species” and “eagle as a set of all individual eagles” are not the one and the same thing, and should not be referred to using the same symbol...we simply observe that the word “eagle” in most people’s minds invokes a notion of a “mighty bird of prey.” The interpretation of this notion as a concept or as an individual is secondary and is often context-dependent, so using different symbols for the same intuitive notion makes the model unnecessarily complex.
 
 2006-12-01 About
 
 OWLlink Protocol
 
 Submission Request to W3C: OWLlink Protocol
 
 Tags:
 
 OWLlink Protocol
 W3C Submission
 
 2010-07-20 About
 
 OWL ontology
 
 SWEET Semantic Web for Earth and Environmental Terminology
 
 Tags:
 
 JPL
 OWL ontology
 
 2014-10-26 About
 
 OWL ontology browser
 OwlSight
 
 ontology-browser - An OWL Ontology and RDF (Linked Open Data) Browser - Google Project Hosting
 
 Tags:
 
 Linked Data Browser
 OWL ontology browser
 RDF browser
 RDF-OWL documentation tool
 
 2011-07-19 About
 
 OWL RL
 
 S is for Semantics: Extending OWL RL
 
 Tags:
 
 Dean Allemang
 OWL RL
 
 2010-08-27 About
 
 Bridge between SW communities: OWL RL « Ivan’s private site
 
 Tags:
 
 OWL RL
 
 2010-08-27 About
 
 OWL tool
 Parrot
 
 Parrot, a RIF and OWL documentation service
 
 Tags:
 
 Parrot
 
 2013-03-12 About
 
 Protégé
 
 Installing Graphviz for protegé
 
 Tags:
 
 Graphviz
 Notes d'install
 Protégé
 
 installé dans: /usr/local/graphviz-2.14/ !!!
 
 2011-06-08 About
 
 skoseditor
 
 Tags:
 
 Protégé
 SKOS editor
 
 2010-05-07 About
 
 CO-ODE
 
 Tags:
 
 Howto, tutorial, FAQ
 Ontologies
 OWL DL
 Protégé
 
 The CO-ODE project aims to build authoring tools and infrastructure that make ontology engineering easier. We specifically support the development and use of OWL-DL ontologies, by being heavily involved in the creation of infrastructure and plugins for the Protégé platform and more recently, OWL1.1 support for the OWL API.
 
 2007-07-26 About
 
 ProtegeWiki: Modeling Tips And Tricks
 
 Tags:
 
 Dev
 Protégé
 
 2006-12-23 About
 
 danbri’s foaf stories » SPARQLing Protégé-OWL Jena integration
 
 Tags:
 
 Dan Brickley
 OWL
 Protégé
 SPARQL AND Jena
 
 2005-08-18 About
 
 RDF-OWL documentation tool
 Parrot
 
 Generating documentation from RDFS and/or OWL vocabularies - ANSWERS
 
 Tags:
 
 RDF-OWL documentation tool
 
 2013-08-28 About
 
 RDF2RDFa-izer
 
 Tags:
 
 GitHub project
 RDF2RDFa
 RDF-OWL documentation tool
 
 RDF2RDFa-izer is currently a deadly simple web frontend of the RDFa Serializer plugin (written by Keith Alexander) for ARC, a Semantic Web Framework written in PHP.
 
 2013-08-27 About
 
 LODE - Live OWL Documentation Environment
 
 Tags:
 
 OWL tool
 RDF-OWL documentation tool
 
 2012-11-23 About
 
 ldodds/dowl · GitHub
 
 Tags:
 
 Leigh Dodds
 OWL tool
 RDF-OWL documentation tool
 RDF Schema
 
 A simple command-line tool for generating HTML documentation from RDFS/OWL schemas
 
 2012-09-02 About
 
 ontology-browser - An OWL Ontology and RDF (Linked Open Data) Browser - Google Project Hosting
 
 Tags:
 
 Linked Data Browser
 OWL ontology browser
 RDF browser
 RDF-OWL documentation tool
 
 2011-07-19 About
 
 LODE - Live OWL Documentation Environment
 
 Tags:
 
 OWL tool
 RDF-OWL documentation tool
 
 2012-11-23 About
 
 ldodds/dowl · GitHub
 
 Tags:
 
 Leigh Dodds
 OWL tool
 RDF-OWL documentation tool
 RDF Schema
 
 A simple command-line tool for generating HTML documentation from RDFS/OWL schemas
 
 2012-09-02 About
 
 Chris Mungall sur Twitter : "Reading: OWL2Vec*: Embedding of OWL Ontologies"
 
 Tags:
 
 Embeddings
 Graph Embeddings
 OWL
 OWL2Vec
 Tweet
 
 2020-10-07 About
 
 Putting OWL in Order: Patterns for Sequences in OWL
 
 Tags:
 
 Design pattern
 OWL
 
 2011-07-05 About
 
 WHERE OWL fails
 
 Tags:
 
 OWL
 TopBraid/SPIN
 
 2010-12-17 About
 
 How do I know when to use OWL and when to Rules? How can I use them both together?
 
 Tags:
 
 OWL
 Rules
 
 2010-10-17 About
 
 Bridging the Gap Between OWL and Relational Databases
 
 Tags:
 
 Ian Horrocks
 OWL
 Ulrike Sattler
 
 2010-09-06 About
 
 Expressing Constraints using RDF/OWL or something else? - Semantic Overflow
 
 Tags:
 
 Open World Assumption
 OWL
 Semantic Overflow
 
 2010-09-06 About
 
 Model Driven Development with Semantic Web Technologies
 
 Tags:
 
 Model Driven Development
 Open World Assumption
 OWL
 
 2010-09-06 About
 
 "Semantic Web for the Working Ontologist" - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 OWL
 Semantic Web and OOP
 
 2009-05-28 About
 
 Relational Database Integration with RDF/OWL
 
 Tags:
 
 Bob DuCharme
 OWL
 Semantic Web: databases
 
 Using the W3C OWL ontology standard lets you get more out of all kinds of data. Find out how this standard and some free software lets you query two databases as if they were one. The primary goal of this article is to put together a demonstration of how you can use OWL to integrate two relational databases, and then perform queries against the aggregate collection to answer realistic questions that you could not answer without the addition of an OWL ontology.
 
 2008-08-01 About
 
 Experiences with the conversion of SenseLab databases to RDF/OWL
 
 Tags:
 
 Database to RDF mapping
 OWL
 Semantic Web: Life Sciences
 
 2008-06-12 About
 
 OWL Web Ontology Language Guide
 
 Tags:
 
 OWL
 W3C Recommendation
 
 2007-09-19 About
 
 SKOS Extensions [RDF/OWL Description]
 
 Tags:
 
 OWL
 RDF
 SKOS
 
 An RDF vocabulary containing extensions to SKOS Core useful for specialised applications.
 
 2007-07-18 About
 
 Structured Ontology Format
 
 Tags:
 
 OWL
 OWLED 2007
 
 Rob Shearer The University of Manchester (nice demo of an ajax script at OWLED 2007) Abstract. This paper presents a simple data model for the representation of OWL ontologies (including the new features of OWL 1.1). The model is built from basic structures native to all common programming environments, so it can be used directly as an API for ontology analysis and manipulation. Furthermore, serialization of these structures using the widely-supported YAML standard yields a readable text format suitable for ontology authoring by average users with text editors and code-management tools.
 
 2007-06-07 About
 
 An OWL model for managing ontologies in the agricultural domain
 
 Tags:
 
 FAO
 Ontologies
 OWL
 SKOS
 Thesaurus
 
 From AGROVOC to the Agricultural Ontology Service / Concept Server
 
 2007-04-02 About
 
 Horst, Herman J. ter: Completeness, decidability and complexity of entailment for RDF Schema and a semantic extension involving the OWL vocabulary
 
 Tags:
 
 Computational complexity
 Entailment
 OWL
 RDF Schema
 
 We prove that entailment for RDFS (RDF Schema) is decidable, NP-complete, and in P if the target graph does not contain blank nodes.We show that the standard set of entailment rules for RDFS is incomplete and that this can be corrected by allowing blank nodes in predicate position. We define semantic extensions of RDFS that involve datatypes and a subset of the OWL vocabulary that includes the property-related vocabulary (e.g. Functional- Property), the comparisons (e.g. sameAs and differentFrom) and the value restrictions (e.g. allValuesFrom). These semantic extensions are in line with the 'if-semantics' of RDFS and weaker than the 'iff-semantics' of D-entailment and OWL (DL or Full). For these semantic extensions we present entailment rules, prove completeness results, prove that consistency is in P and that, just as for RDFS, entailment is NP-complete, and in P if the target graph does not contain blank nodes. There are no restrictions on use to obtain decidability: classes can be used as instances.
 
 2007-02-06 About
 
 On the properties of metamodeling in OWL
 
 Tags:
 
 Conceptual modeling
 Inference
 OWL
 OWL DL
 OWL-Full
 Undecidability
 
 Abstract: A common practice in conceptual modeling is to separate the intensional from the extensional model. Although very intuitive, this approach is inadequate for many complex domains, where the borderline between the two models is not clear-cut. Therefore, OWL-Full, the most expressive of the Semantic Web ontology languages, allows combining the intensional and the extensional model by a feature we refer to as metamodeling. In this paper, we show that the semantics of metamodeling adopted in OWL-Full leads to undecidability of basic inference problems, due to free mixing of logical and metalogical symbols. Based on this result, we propose two alternative semantics for metamodeling: the contextual and the HiLog semantics. We show that SHOIQ— a description logic underlying OWL-DL— extended with metamodeling under either semantics is decidable. Finally, we show how the latter semantics can be used in practice to axiomatize the logical interaction between concepts and metaconcepts. Eagle is a type of RedListSpecies. Thus, RedListSpecies acts as a metaconcept for Eagle The examples such as the one given above are often dismissed with an argument that “eagle as a species” and “eagle as a set of all individual eagles” are not the one and the same thing, and should not be referred to using the same symbol...we simply observe that the word “eagle” in most people’s minds invokes a notion of a “mighty bird of prey.” The interpretation of this notion as a concept or as an individual is secondary and is often context-dependent, so using different symbols for the same intuitive notion makes the model unnecessarily complex.
 
 2006-12-01 About
 
 PR-OWL: A Bayesian Framework for the Semantic Web
 
 Tags:
 
 Bayesian analysis
 OWL
 Semantic Web
 
 2006-11-07 About
 
 PR-OWL: A Bayesian Ontology Language for the Semantic Web
 
 Tags:
 
 Bayesian analysis
 OWL
 
 2006-09-07 About
 
 UMBC eBiquity - Publications - Probabilistic Framework for Semantic Web - OWL and Bayesian Networks
 
 Tags:
 
 Bayesian analysis
 OWL
 
 2006-05-01 About
 
 alphaWorks : IBM Web Ontology Manager
 
 Tags:
 
 IBM
 IBM developerWorks
 Java
 Jena
 Ontologies
 OWL
 
 IBM Web Ontology Manager is a lightweight, Web-based tool for managing ontologies expressed in Web Ontology Language (OWL). With this technology, users can browse, search, and submit ontologies to an ontology repository. This technology includes a Web interface for easy uploading of ontologies in an .owl format by any user of the system. It also includes an interface for generating (using Jastor) Java™ APIs from uploaded ontology files. IBM Web Ontology Manager differs from IBM Ontology Management System (a former alphaWorks technology, now merged into the IBM Integrated Ontology Development Toolkit) in that it does not include a statement repository. Instead, based on the ontologies visible to the system, it can generate Java classes for accessing any Jena-compatible RDF statement repository.
 
 2006-04-29 About
 
 danbri’s foaf stories » SPARQLing Protégé-OWL Jena integration
 
 Tags:
 
 Dan Brickley
 OWL
 Protégé
 SPARQL AND Jena
 
 2005-08-18 About
 
 Danny Ayers, Raw Blog - Taxonomies in OWL
 
 Tags:
 
 OWL
 Taxonomies
 
 2005-07-06 About
 
 UMBC eBiquity Project: Bayes OWL
 
 Tags:
 
 Bayesian analysis
 OWL
 
 2005-07-04 About
 
 Jastor
 
 Tags:
 
 Java
 OWL
 
 Jastor generates Java interfaces, implementations, factories, and listeners based on the properties and class hierarchies in the Web Ontologies.
 
 2005-06-24 About
 
 UMBC eBiquity Publication: A Bayesian Methodology towards Automatic Ontology Mapping
 
 Tags:
 
 Bayesian analysis
 Ontology Mapping
 OWL
 
 2005-06-15 About
 - OWL ontology
 - Personal ontology
 PIMO
 
 PIMO-a PIM Ontology for the Semantic Desktop
 
 Tags:
 
 PIMO
 
 In this report, a new ontology language is proposed, the PIMO ontology language, which addresses the requirements of the Semantic Desktop and uses existing solutions as an inspiration to build a suitable solution. The language contains a core upper ontology, defining basic classes for things, concepts, resources, persons, etc. and also stops at these basic entities. Extending the ontology definitions of classes and relations is possible by PIMO-domain ontologies. The core application area of the PIMO-language is to allow individual persons to express their own mental models in a structured way, the different mental models can then be integrated based on matching algorithms or on domain ontologies.
 
 2006-05-10 About
 
 Semantic World and Cyberspace: the heart of gnowsis
 
 Tags:
 
 gnowsis
 Personal ontology
 Semanlink related
 Semantic Desktop
 
 Connecting data bits from here and there to an information space for yourself. ...Personal ontologies, where you express your mental model and link it to data. Not just data: data with meaning to people.
 
 2005-12-21 About
 - Protégé
 - Tag ontology
 
 Nice Tag ontology
 
 Tags:
 
 Fabien Gandon
 Ontologies
 Tag ontology
 
 2013-08-09 About
 
 tagliatelle delicious RDFizer
 
 Tags:
 
 Danny Ayers
 del.icio.us
 Semanlink related
 Tag ontology
 Talis platform
 
 Takes all your bookmarks from del.icio.us, converts to RDF (using Tag Ontology), pushes into a Talis Platform store
 
 2009-04-11 About
 
 Stefano's Linotype ~ Folksologies: de-idealizing ontologies
 
 Tags:
 
 Folksonomy
 Stefano Mazzocchi
 Tag ontology
 
 2007-01-09 About
 
 Tag ontology RFC from Richard Newman on 2005-03-23 (semantic-web@w3.org from March 2005)
 
 Tags:
 
 semantic-web@w3.org
 Tag ontology
 
 2007-01-09 About
 
 Tag ontology design
 
 Tags:
 
 Tag ontology
 
 2005-04-26 About
 - OpenLink Software
 - Kingsley Idehen
 OpenLink Ajax Toolkit (OAT)
 
 OpenLink Ajax Toolkit (OAT) 2.6 Released!
 
 Tags:
 
 OpenLink Ajax Toolkit (OAT)
 
 2007-08-06 About
 
 Kingsley Uyi Idehen sur Twitter : "When I read this & other articles, I leverage our @datasniff browser ext. for highlighting key terms;
 
 Tags:
 
 Diffbot
 Kingsley Idehen
 Tweet
 URIBurner
 
 [UriBurner example](https://linkeddata.uriburner.com/about/html/https://linkeddata.uriburner.com/about/id/entity/https/www.technologyreview.com/2020/11/12/1011944/artificial-intelligence-replication-crisis-science-big-tech-google-deepmind-facebook-openai/)
 
 2020-11-14 About
 
 OpenLink Structured Data Sniffer now available in the Chrome Web Store As an...
 
 Tags:
 
 Data Sniffer
 Kingsley Idehen
 OpenLink Software
 
 2015-12-17 About
 
 Simple WebID, WebID+TLS Protocol, and ACL Dogfood Demo from Kingsley Idehen on 2013-08-06 (public-lod@w3.org from August 2013)
 
 Tags:
 
 Kingsley Idehen
 public-lod@w3.org
 WebID
 
 2013-08-06 About
 
 Renault Exploitation of Linked Data | LinkedIn, discussion started by Kingsley Idehen
 
 Tags:
 
 C2GWeb
 fps' post
 Kingsley Idehen
 LinkedIn
 
 2013-07-06 About
 
 Important Change to HTTP semantics re. hashless URIs from Kingsley Idehen on 2013-03-24 (public-lod@w3.org from March 2013)
 
 Tags:
 
 httpRange-14
 Kingsley Idehen
 
 2013-03-25 About
 
 Kingsley Idehen - Google+ - DIY Linked Data Deployment via DropBox Unbeknownst to…
 
 Tags:
 
 DIY
 Dropbox
 Kingsley Idehen
 Linked Data publishing
 
 2013-03-13 About
 
 Kingsley Idehen - Google+ - Google Knowledge Graph to Linked Data Here are some simple…
 
 Tags:
 
 Google Knowledge Graph
 Kingsley Idehen
 
 2013-01-25 About
 
 SPARQL guide for the Javascript Developer
 
 Tags:
 
 Kingsley Idehen
 SPARQL en javascript
 
 2011-01-22 About
 
 URIBurner: Painless Generation & Exploitation of Linked Data
 
 Tags:
 
 Kingsley Idehen
 URIBurner
 
 2010-06-17 About
 
 Comments on Data 3.0 manifesto
 
 Tags:
 
 Entity-attribute-value model
 Kingsley Idehen
 LOD mailing list
 Richard Cyganiak
 
 2010-04-26 About
 
 Virtuoso: generating RDF Views
 
 Tags:
 
 Kingsley Idehen
 Virtuoso
 YouTube video
 
 2009-08-25 About
 
 Creating, Deploying and Exploiting Linked Data
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 Slides
 
 2009-01-15 About
 
 Cool URIs, Fish, and Wine
 
 Tags:
 
 Kingsley Idehen
 
 Why Applications Are Like Fish and Data is Like Wine
 
 2008-12-29 About
 
 Description of: http://demo.openlinksw.com/Northwind/Customer/ALFKI
 
 Tags:
 
 Kingsley Idehen
 Linked Data demo
 Linking Enterprise Data
 OpenLink Software
 Semantic web: evangelization
 
 2008-09-12 About
 
 Crunchbase & Semantic Web Interview (Remix - Update 1)
 
 Tags:
 
 Kingsley Idehen
 Virtuoso
 
 2008-09-02 About
 
 Connecting Freebase, Wikipedia, DBpedia, and other Linked Data Spaces
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 Virtuoso
 
 2008-09-01 About
 
 Creating, Deploying and Exploiting Linked Data
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 Slides
 
 2008-06-19 About
 
 Linked Data in Action: Library of Congress
 
 Tags:
 
 Kingsley Idehen
 Library of Congress
 Linked Data: application
 
 2008-06-12 About
 
 Linked Data Trip Report - Part 1 (WWW2008)
 
 Tags:
 
 Kingsley Idehen
 LDOW2008
 
 2008-05-04 About
 
 Injecting Facebook Data into the Semantic Data Web
 
 Tags:
 
 Facebook
 Kingsley Idehen
 Linked Data
 
 2007-07-28 About
 
 Enterprise 0.0, Linked Data, and Semantic Data Web
 
 Tags:
 
 Kingsley Idehen
 Semantic Enterprise
 SQL to RDF mapping
 
 Actual SQL to RDF Mapping Demo / Experiment
 
 2007-06-14 About
 
 Hello Data Web (Take 3 - Feel The "RDF" Force)
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 
 Exemples de connexion à des sources de données RDF via ajax (ne marche pas avec Safari)
 
 2007-05-21 About
 
 Personal URIs & Data Spaces
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 
 2007-04-03 About
 - OpenLink Ajax Toolkit (OAT)
 - URIBurner
 - Virtuoso
 Virtuoso:doc
 
 OpenLink Virtuoso Universal Server: Documentation
 
 Tags:
 
 Virtuoso:doc
 Virtuoso Universal Server
 
 2009-05-18 About
 
 Mapping Relation Data to RDF with Virtuoso's RDF Views
 
 Tags:
 
 Database to RDF mapping
 Virtuoso:doc
 
 2009-02-06 About
 
 Virtuoso: review
 
 Virtuoso (OpenLink Software, Inc) - Data Management/Storage/Relational Databases - Enterprise IT Planet Product Guide
 
 Tags:
 
 Virtuoso: review
 
 2009-02-06 About
 
 OpenLink Plugs the Gaps in the Structured Web » AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 Virtuoso: review
 
 Virtuoso and Related Tools String Together a Surprisingly Complete Score
 
 2008-08-28 About
 
 Virtuoso Open-Source Edition
 
 Virtuoso Open-Source Edition: Mapping SQL Data to RDF
 
 Tags:
 
 SQL to RDF mapping
 Virtuoso Open-Source Edition
 
 2009-02-10 About
 
 OpenLink Virtuoso: Open-Source Edition
 
 Tags:
 
 Virtuoso Open-Source Edition
 
 2008-08-26 About
 
 Virtuoso Universal Server
 
 OpenLink Virtuoso Universal Server: Documentation
 
 Tags:
 
 Virtuoso:doc
 Virtuoso Universal Server
 
 2009-05-18 About
 
 LOC - The Linked Open Commerce Dataspace
 
 Tags:
 
 GoodRelations
 Virtuoso
 
 2011-06-23 About
 
 Converting your WordPress and Mediawiki data into RDF on-the-fly at Frederick Giasson’s Weblog
 
 Tags:
 
 Converting data into RDF
 Frederick Giasson
 Virtuoso
 WordPress
 
 This blog post will show you how we can do the same with your WordPress blog and your Mediawiki wiki using Virtuoso RDF Views.
 
 2010-05-21 About
 
 Virtuoso: generating RDF Views
 
 Tags:
 
 Kingsley Idehen
 Virtuoso
 YouTube video
 
 2009-08-25 About
 
 Short Recap of Virtuoso Basics
 
 Tags:
 
 Orri Erling
 Virtuoso
 
 2009-05-01 About
 
 Semantic Web technologies for digital preservation : the SPAR project
 
 Tags:
 
 BNF
 Semantic Web : Application
 Virtuoso
 
 2009-04-15 About
 
 VOS: Virtuoso Universal Server AMI for Amazon EC2 Instantiation Guide
 
 Tags:
 
 Amazon
 Virtuoso
 
 2009-03-31 About
 
 Getting started using Virtuoso as a triplestore - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 TripleStore
 Virtuoso
 
 2009-03-03 About
 
 "E Pluribus Unum", or "Inversely Functional Identity", or "Smooshing Without the Stickiness" (re-updated)
 
 Tags:
 
 Inverse-functional properties
 Linking Open Data
 Orri Erling
 Smushing
 Virtuoso
 
 2008-12-17 About
 
 Virtuoso RDF: Getting Started for the Developer
 
 Tags:
 
 Orri Erling
 Tutorial
 Virtuoso
 
 2008-12-17 About
 
 Deploying Linked Data (Virtuoso)
 
 Tags:
 
 Linked Data
 Virtuoso
 
 2008-09-20 About
 
 Crunchbase & Semantic Web Interview (Remix - Update 1)
 
 Tags:
 
 Kingsley Idehen
 Virtuoso
 
 2008-09-02 About
 
 Connecting Freebase, Wikipedia, DBpedia, and other Linked Data Spaces
 
 Tags:
 
 Kingsley Idehen
 Linked Data
 Virtuoso
 
 2008-09-01 About
 
 Virtuoso Jena Provider
 
 Tags:
 
 Jena
 Virtuoso
 
 The Virtuoso Jena RDF Data Provider is a fully operational Native Graph Model Storage Provider for the Jena Framework, enables Semantic Web applications written using the Jena RDF Frameworks to query the Virtuoso RDF Quad store directly.
 
 2008-08-28 About
 
 OpenLink Universal Integration Middleware - Virtuoso Product Family - FAQ
 
 Tags:
 
 FAQ
 Virtuoso
 
 2008-08-26 About
 - Virtuoso Open-Source Edition
 
 OpenLink Structured Data Sniffer
 
 Tags:
 
 Data Sniffer
 OpenLink Software
 Structured data extraction
 
 2019-05-04 About
 
 openlink/rdf-editor: The OpenLink RDF Edito... - GitHub
 
 Tags:
 
 OpenLink Software
 RDF editor
 
 The OpenLink RDF Editor enables editing of RDF documents (in TURTLE notation) stored in a variety of HTTP accessible documents. Actual document access requires the target document is served from a system that supports at least one of the following open standards: Linked Data Platform (LDP), WebDAV, SPARQL 1.1 Update, or the SPARQL Graph Protocol.
 
 2016-01-15 About
 
 OpenLink Structured Data Sniffer now available in the Chrome Web Store As an...
 
 Tags:
 
 Data Sniffer
 Kingsley Idehen
 OpenLink Software
 
 2015-12-17 About
 
 OpenLink Data Explorer Extension
 
 Tags:
 
 OpenLink Software
 RDF browser
 
 2010-12-28 About
 
 Description of: http://demo.openlinksw.com/Northwind/Customer/ALFKI
 
 Tags:
 
 Kingsley Idehen
 Linked Data demo
 Linking Enterprise Data
 OpenLink Software
 Semantic web: evangelization
 
 2008-09-12 About
 
 OpenLink Data Explorer :: Firefox Add-ons
 
 Tags:
 
 Firefox
 OpenLink Software
 
 2008-09-02 About
 - OWL
 - POWDER
 - RDF
 - About RDF
 
 RDF, it’s difficult, nasty, horrible and I hate it | Brinxmat's blog
 
 Tags:
 
 About RDF
 Brinxmat
 
 Now, as long as you have a fixed view of what you want to know (title, author, creation date,…), then RDF is largely pointless, please use whichever row/column-oriented tool you choose. As soon as you’re unsure about the structure of your data, use RDF.
 
 2016-04-09 About
 
 An unusually sensible post about RDF | Brinxmat's blog
 
 Tags:
 
 About RDF
 Brinxmat
 
 RDF is good for data models, it’s good for data structures and transformations; it isn’t good for working with values. People don’t want a data model, they want values. This is a shame. The RDF stack doesn’t provide a replacement for a database.
 
 2016-04-09 About
 - AJAR
 Tabulator
 
 Links on the Semantic Web
 
 Tags:
 
 AJAR
 Linked Data
 Tim Berners-Lee
 
 2007-01-02 About
 - Database to RDF mapping
 R2RML
 
 My first mapping from RDB to RDF using R2RML « Ivan’s private site
 
 Tags:
 
 Ivan Herman
 R2RML
 
 2010-11-07 About
 
 R2RML: RDB to RDF Mapping Language
 
 Tags:
 
 R2RML
 
 2010-11-07 About
 
 SQL to RDF mapping
 D2RQ
 
 D2RQ — Lessons Learned
 
 Tags:
 
 D2RQ
 
 2009-02-10 About
 
 Relational database integration with RDF/OWL
 
 Tags:
 
 Bob DuCharme
 D2RQ
 Database to RDF mapping
 
 2009-02-07 About
 
 Jena Assembler (D2RQ V0.5 - User Manual)
 
 Tags:
 
 D2RQ
 Jena: assembler
 
 2008-11-17 About
 
 Relational database integration with RDF/OWL
 
 Tags:
 
 Bob DuCharme
 D2RQ
 Oracle
 TripleStore
 
 2008-06-04 About
 
 D2RQ - Treating Non-RDF Databases as Virtual RDF Graphs - Chris Bizer
 
 Tags:
 
 D2RQ
 
 As Semantic Web technologies are getting mature, there is a growing need for RDF applications to access the content of non-RDF, legacy databases without having to replicate the whole database into RDF. D2RQ is a declarative language to describe mappings between relational database schemata and OWL/RDFS ontologies. The mappings allow RDF applications to access the content of huge, non-RDF databases using Semantic Web query languages like SPARQL.
 
 2007-06-23 About
 
 Relational Databases and the Semantic Web (in Design Issues)
 
 Tags:
 
 Relational Databases and the Semantic Web
 SQL to RDF mapping
 
 2010-11-07 About
 
 Requirements for Relational-to-RDF Mapping
 
 Tags:
 
 ETL
 Orri Erling
 SQL to RDF mapping
 
 2009-04-02 About
 
 Virtuoso Open-Source Edition: Mapping SQL Data to RDF
 
 Tags:
 
 SQL to RDF mapping
 Virtuoso Open-Source Edition
 
 2009-02-10 About
 
 Enterprise 0.0, Linked Data, and Semantic Data Web
 
 Tags:
 
 Kingsley Idehen
 Semantic Enterprise
 SQL to RDF mapping
 
 Actual SQL to RDF Mapping Demo / Experiment
 
 2007-06-14 About
 
 Relational database integration with RDF/OWL
 
 Tags:
 
 Bob DuCharme
 D2RQ
 Database to RDF mapping
 
 2009-02-07 About
 
 ESWC2008 Relational2RDF - Mapping Relational Databases to RDF with OpenLink Virtuoso
 
 Tags:
 
 Database to RDF mapping
 Orri Erling
 
 2009-02-06 About
 
 Mapping Relation Data to RDF with Virtuoso's RDF Views
 
 Tags:
 
 Database to RDF mapping
 Virtuoso:doc
 
 2009-02-06 About
 
 Expose LDAP directories to the Semantic Web with SquirrelRDF
 
 Tags:
 
 Database to RDF mapping
 Jena
 LDAP
 
 2008-10-28 About
 
 Experiences with the conversion of SenseLab databases to RDF/OWL
 
 Tags:
 
 Database to RDF mapping
 OWL
 Semantic Web: Life Sciences
 
 2008-06-12 About
 
 RDF and SPARQL: Using Semantic Web Technology to Integrate the World's Data
 
 Tags:
 
 Database to RDF mapping
 SPARQL
 
 Interesting write-up about relational database to RDF mapping on the W3C website
 
 2007-04-19 About
 - Drupal/RDF
 - eRDF
 
 Why use eRDF?
 
 Tags:
 
 eRDF
 RDF-driven web sites
 
 2007-07-03 About
 
 A use for embedded semantics? eRDF Link Preview Demo
 
 Tags:
 
 eRDF
 JavaScript
 Semantic markup in HTML
 
 RDF-in-HTML offers interesting possibilities for end-user experience. This page demonstrates one of those possibilities. Here, some javascript pre-fetches eRDF data related to the uri being linked to.
 
 2007-07-03 About
 
 eRDF-T with Tonic and Smarty
 
 Tags:
 
 eRDF
 RDF-driven web sites
 
 eRDF templating.
 
 2007-07-02 About
 
 dowhatimean.net » Less code: eRDF templates for RDF-driven web sites
 
 Tags:
 
 eRDF
 RDFa
 RDF-driven web sites
 Richard Cyganiak
 
 Let’s assume you have a web application driven by data from an RDF triple store. You generate HTML pages by querying the triple store and inserting the bits and pieces into an HTML template. Now if you add eRDF or RDFa annotations to the HTML template, in a way that reflects the original RDF data, then by definition the annotations completely specify what data you need to populate the page. And the template itself therefore must be sufficient to extract all the required triples from the store. No coding needed!
 
 2007-05-31 About
 - Finding RDF documents
 
 http://swoogle.umbc.edu/about.php
 
 Tags:
 
 Finding RDF documents
 Metadata indexing
 Swoogle
 
 Swoogle is a crawler-based indexing and retrieval system for the Semantic Web -- RDF and OWL documents encoded in XML or N3. Swoogle extracts metadata for each discovered document, and computes relations among them. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents. One of the interesting properties we compute is ontology rank, a measure of the importance of a Semantic Web document.
 
 2005-06-15 About
 
 Finding RDF instance data with Swoogle
 
 Tags:
 
 Country ontologies
 Finding RDF documents
 Swoogle
 
 Searching for country ontologies
 
 2005-06-02 About
 - Huge RDF data source
 
 System One - Wikipedia3
 
 Tags:
 
 Huge RDF data source
 RDF
 Wikipedia
 
 Wikipedia³ is a conversion of the English Wikipedia into RDF. It's a monthly updated dataset containing around 47 million triples.
 
 2006-04-24 About
 - Identifying triples
 
 Another RDF Syntax! (URI-embedded RDF)
 
 Tags:
 
 Danny Ayers
 Identifying triples
 RDF Net API
 
 Let a URI constructed like this: URIbase/ars?s=encodedURIs&p=encodedURIp&o=encodedURIo identify the statement: URIs URIp URIo
 
 2007-12-31 About
 - Javascript RDF
 Javascript RDF Parser
 Javascript RDF Parser in IE
 
 Re: HELP about jena fuseki and NodeJS
 
 Tags:
 
 Javascript RDF Parser
 Olivier Rossel
 
 https://www.npmjs.com/package/n3
 
 2015-02-19 About
 
 Lightning-fast RDF in JavaScript | Ruben Verborgh
 
 Tags:
 
 Javascript RDF
 Javascript RDF Parser
 Ruben Verborgh
 Turtle
 
 Writing a spec-compatible Turtle parser has been an interesting journey.
 
 2015-01-31 About
 
 Dave Brondsema's Blog - Javascript RDFParser from Tabulator
 
 Tags:
 
 Javascript RDF Parser
 Sample code
 Tabulator
 
 2007-07-04 About
 
 JavaScript RDF/XML Parser
 
 Tags:
 
 Javascript RDF Parser
 
 To the best of my knowledge, RDFParser is fully compliant with the RDF/XML specification. The parser passes all of the positive parser test cases from the W3
 
 2006-07-17 About
 
 Simple javascript RDF Parser and query thingy.
 
 Tags:
 
 Javascript RDF Parser
 
 2005-09-28 About
 
 RDFJS
 
 RDF-Ext v1 Release | bergis reptile zoo of software, hardware and ideas
 
 Tags:
 
 RDFJS
 
 2017-08-09 About
 
 rdfQuery
 
 jquery.rdf.turtle.js - rdfquery - RDF processing in your browser - Google Project Hosting
 
 Tags:
 
 rdfQuery
 Turtle
 
 2012-10-03 About
 
 Issue 32 - rdfquery - memory leaks/perfomance issues caused by $.rdf#databanks member (array) - RDF processing in your browser - Google Project Hosting
 
 Tags:
 
 Memory leak
 rdfQuery
 
 2012-09-20 About
 
 rdfQuery: Progressive Enhancement with RDFa | Jeni's Musings
 
 Tags:
 
 Jeni Tennison
 RDFa
 rdfQuery
 
 2012-08-09 About
 
 Mark it up! (nice rdfQuery demo)
 
 Tags:
 
 Jeni Tennison
 rdfQuery
 
 2012-08-09 About
 
 RDFa demonstracija
 
 Tags:
 
 RDFa
 rdfQuery
 
 2012-02-21 About
 
 SPARQL en javascript
 snorql
 
 Sgvizler
 
 Tags:
 
 JavaScript
 SPARQL
 SPARQL en javascript
 
 a javascript which renders the result of SPARQL SELECT queries into charts or html elements.
 
 2015-08-14 About
 
 Browser + SPARQL Server = Wiki | Danny Ayers' Other Alternate Weblog
 
 Tags:
 
 Danny Ayers
 SPARQL
 SPARQL en javascript
 Wiki
 
 2014-12-30 About
 
 rdfstore-js
 
 Tags:
 
 Javascript RDF
 SPARQL en javascript
 TripleStore
 
 rdfstore-js is a pure Javascript implementation of a RDF graph store with support for the SPARQL query and data manipulation language.
 
 2011-08-28 About
 
 SparqlTree - oort - Automatic treeification of SPARQL query results. - Project Hosting on Google Code
 
 Tags:
 
 SPARQL en javascript
 Treeview
 
 2011-03-07 About
 
 Spark
 
 Tags:
 
 SPARQL en javascript
 
 Spark library for visualizing SPARQL result sets Spark is a fully HTML5 compliant JavaScript library which allows you to include results from SPARQL queries in any website (as a "spark"), or, by using the QCrumb, data from any RDF file out there. Spark provides an easy extensible mechanism to define renders for SPARQL result sets.
 
 2011-03-07 About
 
 SPARQL guide for the Javascript Developer
 
 Tags:
 
 Kingsley Idehen
 SPARQL en javascript
 
 2011-01-22 About
 
 TechnicaLee Speaking: Updates to sparql.js
 
 Tags:
 
 Lee Feigenbaum
 SPARQL en javascript
 
 2007-04-20 About
 
 TechnicaLee Speaking: SPARQL Calendar Demo: A SPARQL JavaScript Library
 
 Tags:
 
 Lee Feigenbaum
 SPARQL en javascript
 
 2007-04-20 About
 
 Tabulator
 
 Adrian Gschwend sur Twitter : "getting started with RDF and JavaScript!..."
 
 Tags:
 
 Javascript RDF
 
 2020-03-12 About
 
 Who says using RDF is hard?
 
 Tags:
 
 Javascript RDF
 
 2019-10-07 About
 
 rubensworks/rdf-dereference.js: Dereference any URL for its RDF contents
 
 Tags:
 
 Javascript RDF
 
 2019-09-30 About
 
 Designing a Linked Data developer experience | Ruben Verborgh
 
 Tags:
 
 Good
 Javascript RDF
 Linked Data
 Ruben Verborgh
 Solid
 
 2019-04-12 About
 
 rdfjs/rdfjs.org
 
 Tags:
 
 Javascript RDF
 
 2015-10-15 About
 
 Towards the future RDF library
 
 Tags:
 
 Javascript RDF
 
 2015-09-12 About
 
 RDF Interfaces Extension
 
 Tags:
 
 Javascript RDF
 
 2015-02-25 About
 
 jsonld.js: A JSON-LD Processor and API implementation in JavaScript.
 
 Tags:
 
 Javascript RDF
 JSON-LD
 Manu Sporny
 
 <a href="http://github.com/digitalbazaar/jsonld.js">on github</a>
 
 2015-02-25 About
 
 Comparison of RDFJS libraries - RDF JavaScript Libraries Community Group
 
 Tags:
 
 Javascript RDF
 
 2015-02-25 About
 
 RDF JavaScript Libraries Community Group
 
 Tags:
 
 Javascript RDF
 W3C Community Group
 
 2015-02-19 About
 
 Lightning-fast RDF in JavaScript | Ruben Verborgh
 
 Tags:
 
 Javascript RDF
 Javascript RDF Parser
 Ruben Verborgh
 Turtle
 
 Writing a spec-compatible Turtle parser has been an interesting journey.
 
 2015-01-31 About
 
 N3.js
 
 Tags:
 
 Javascript RDF
 Ruben Verborgh
 Turtle
 
 "Lightning fast, asynchronous, streaming Turtle for JavaScript"
 
 2013-12-04 About
 
 TurtleScript
 
 Tags:
 
 Javascript RDF
 RDFa
 Turtle in HTML
 
 TurtleScript is a project to demonstrate the utility of including the Turtle RDF serialization in HTML files as a form of metadata. It is intended as proposed alternative or supplement to microformats and RDFa.
 
 2013-09-06 About
 
 C2GWeb-js: Renault Configuration data as RDF, tutorial
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 Configuration as Linked Data
 Configuration ontology
 Configurator
 Javascript RDF
 rplug
 Tutorial
 
 Renault publishes the description of its commercial range as Linked Data. This page explains how to connect to this data, and how to use it. As an example, a configurator over the Renault range is implemented in javascript, using these data.
 
 2013-04-17 About
 
 LodLive - browsing the Web of Data
 
 Tags:
 
 Javascript RDF
 Web of data
 
 2012-11-10 About
 
 rdfstore-js
 
 Tags:
 
 Javascript RDF
 SPARQL en javascript
 TripleStore
 
 rdfstore-js is a pure Javascript implementation of a RDF graph store with support for the SPARQL query and data manipulation language.
 
 2011-08-28 About
 - Jena
 Elda
 Jena : Introduction
 
 Introduction to Jena
 
 Tags:
 
 Jena : Introduction
 
 2005-10-28 About
 
 Jena and database
 Jena TDB
 
 TDB/QuadFilter - Jena Wiki
 
 Tags:
 
 Jena TDB
 
 This page describes how to filter quads at the lowest level of TDB. It can be used to hide certain quads (tripes in named graphs) or triples.
 
 2011-03-15 About
 
 jena-dev : Message: Re: [jena-dev] Could TDB sort triples by objects?
 
 Tags:
 
 Jena dev
 Jena TDB
 
 2010-12-22 About
 
 SDB: A SPARQL Database for Jena
 
 SDB/Store Description - Jena wiki
 
 Tags:
 
 Jena: assembler
 SDB: A SPARQL Database for Jena
 
 2008-11-17 About
 
 SDB/Dataset Description - Jena wiki
 
 Tags:
 
 Jena: assembler
 SDB: A SPARQL Database for Jena
 
 2008-11-17 About
 
 SDB - Jena wiki
 
 Tags:
 
 SDB: A SPARQL Database for Jena
 
 a new database subsystem for Jena. It uses a conventional relational database, rewriting SPARQL to SQL. The relational database tools for load balancing, security, clustering, backup and administration can all be used to manage the installation. Currently it works with Oracle, MS SQL Server, PostgreSQL, MySQL, Apache Derby and HSQLDB databases.
 
 2007-07-02 About
 
 OWLIM | Ontotext
 
 Tags:
 
 Jena and database
 TripleStore
 
 OWLIM is a family of semantic repositories, or RDF database management systems, with the following characteristics: native RDF engines, implemented in Java delivering full performance through both Sesame and Jena robust support for the semantics of RDFS, OWL 2 RL and OWL 2 QL best scalability, loading and query evaluation performance
 
 2012-06-13 About
 
 jena-dev : Message: Joseki requirements
 
 Tags:
 
 Jena and database
 Jena dev
 Joseki
 
 2009-06-26 About
 
 Berlin SPARQL Benchmark V2 - Results for Sesame, Virtuoso, Jena TDB, D2R Server, and MySQL
 
 Tags:
 
 Benchmark
 Jena and database
 SPARQL
 
 2008-09-24 About
 
 Create Scalable Semantic Applications with Database-Backed RDF Stores
 
 Tags:
 
 Jena and database
 TripleStore
 
 2008-09-10 About
 
 Jena Relational Database backend
 
 Tags:
 
 Jena and database
 
 2008-09-10 About
 
 Jena dev
 Implementing a Jena Graph
 
 ARQtick: Jena-Mulgara : example of implementing a Jena graph
 
 Tags:
 
 Andy Seaborne
 Implementing a Jena Graph
 
 2009-09-18 About
 
 Jena: assembler
 
 SDB/Store Description - Jena wiki
 
 Tags:
 
 Jena: assembler
 SDB: A SPARQL Database for Jena
 
 2008-11-17 About
 
 SDB/Dataset Description - Jena wiki
 
 Tags:
 
 Jena: assembler
 SDB: A SPARQL Database for Jena
 
 2008-11-17 About
 
 the Assembler howto
 
 Tags:
 
 Howto
 Jena: assembler
 
 2008-11-17 About
 
 Jena Assembler (D2RQ V0.5 - User Manual)
 
 Tags:
 
 D2RQ
 Jena: assembler
 
 2008-11-17 About
 
 castagna/jena-examples · GitHub
 
 Tags:
 
 GitHub project
 Jena dev
 
 2012-12-09 About
 
 Re: Dealing with expensive queries (jena users mailing list)
 
 Tags:
 
 Jena dev
 
 2012-12-01 About
 
 jena-dev : Message: Re: [jena-dev] Could TDB sort triples by objects?
 
 Tags:
 
 Jena dev
 Jena TDB
 
 2010-12-22 About
 
 jena-dev : Message: Joseki requirements
 
 Tags:
 
 Jena and database
 Jena dev
 Joseki
 
 2009-06-26 About
 
 SourceForge.net: Jena: SCM
 
 Tags:
 
 CVS
 Jena dev
 
 2009-05-28 About
 
 Binding Java Objects to RDF
 
 Tags:
 
 Jena dev
 Semantic Web and OOP
 
 2009-05-14 About
 
 jena-dev : Message: Creating custom model for legacy system (Newbie question)
 
 Tags:
 
 Converting data into RDF
 Jena dev
 
 How to present the data from a legacy system (not an RDB) as RDF and thought I'd use Jena as a facade?
 
 2008-11-20 About
 
 jena-dev : Message: Re: [jena-dev] Checking URI validity before adding it to a model
 
 Tags:
 
 Jena dev
 URI
 
 2007-04-25 About
 
 Jena Fuseki
 
 Sparql Secrets In Jena-Fuseki - DataScienceCentral.com
 
 Tags:
 
 Jena Fuseki
 
 2022-07-26 About
 
 Thesaurus-augmented Search with Jena Text | ZBW Labs
 
 Tags:
 
 Jena
 Jena Fuseki
 Lucene
 Semanlink related
 SKOS
 Text Search
 Thesaurus
 
 2013-08-12 About
 
 Jena GRDDL Reader
 Jena rules
 
 Lost Boy: Fun with Jena Rules
 
 Tags:
 
 Jena rules
 Tagging
 
 Extracting richer metadata from tagging conventions
 
 2005-06-24 About
 
 Jena TDB
 Jena User Conference
 
 chillyinside.com » Blog Archive » 2006 Jena User Conference
 
 Tags:
 
 Jena User Conference
 LinkTo Semanlink
 
 2006-05-26 About
 
 Jena User Conference - some interesting UI related papers/presentations from Shabajee, Paul on 2006-05-17 (public-semweb-ui@w3.org from May 2006)
 
 Tags:
 
 Jena User Conference
 LinkTo Semanlink
 
 2006-05-25 About
 
 2006 Jena User Conference - proceedings
 
 Tags:
 
 Jena User Conference
 
 2006-05-17 About
 
 JUC day 1: photos
 
 Tags:
 
 Jena User Conference
 
 2006-05-13 About
 
 Lost Boy: 2006 Jena User Conference Programme
 
 Tags:
 
 Jena User Conference
 Leigh Dodds
 
 2006-04-13 About
 
 Jena User Conference - programme up
 
 Tags:
 
 Danny Ayers
 Jena User Conference
 
 2006-04-13 About
 
 Burningbird » ‘allo Jena
 
 Tags:
 
 Jena User Conference
 Shelley Powers
 
 2006-04-13 About
 
 2006 Jena User Conference - schedule
 
 Tags:
 
 Jena User Conference
 
 2006-04-13 About
 
 Jsonld/Jena
 NG4J
 
 NG4J - Named Graphs API for Jena
 
 Tags:
 
 NG4J
 
 2007-07-13 About
 
 semblog
 SPARQL AND Jena
 ARQ
 ARQ property functions
 
 Message: RE: [jena-dev] ARQ property functions: is it possible to use a blank node as argObject?
 
 Tags:
 
 Andy Seaborne
 ARQ property functions
 fps' post
 
 2008-12-12 About
 
 ARQ: a question about property functions
 
 Tags:
 
 Andy Seaborne
 ARQ property functions
 Dev tips
 fps' post
 
 when handling a describe query with ARQ, is it possible to add statements to the returned RDF, based on a "magic property"? (Yes, it is)
 
 2008-07-14 About
 
 Lost Boy: Writing an ARQ Extension Function
 
 Tags:
 
 ARQ property functions
 Leigh Dodds
 
 2008-04-01 About
 
 Tarql: SPARQL for Tables - cygri/tarql · GitHub
 
 Tags:
 
 ARQ
 CSV
 Richard Cyganiak
 SPARQL 1.1
 
 SPARQL for Tables Tarql is a command-line tool for converting CSV files to RDF using SPARQL 1.1 syntax. It's written in Java and based on Apache ARQ.
 
 2013-02-08 About
 
 castagna/SARQ · GitHub
 
 Tags:
 
 ARQ
 Paolo Castagna
 
 SARQ is a combination of ARQ and Solr. It gives ARQ the ability to perform free text searches using a remote Solr server. Lucene indexes in Solr are additional information for accessing the RDF graph, not storage for the graph itself.
 
 2012-05-04 About
 
 Trying SPARQL 1.1 new query features with ARQ - bobdc.blog
 
 Tags:
 
 ARQ
 Bob DuCharme
 SPARQL 1.1
 
 2010-08-20 About
 
 ARQ - Property Paths
 
 Tags:
 
 ARQ
 
 2010-06-10 About
 
 ARQ - Documentation and Resources
 
 Tags:
 
 ARQ
 
 2008-08-11 About
 
 Lost Boy: Parameterised Queries with SPARQL and ARQ
 
 Tags:
 
 ARQ
 Leigh Dodds
 SPARQL Tips
 
 2008-07-06 About
 
 ARQ - Querying Remote SPARQL Services
 
 Tags:
 
 ARQ
 Querying Remote SPARQL Services
 
 2008-01-04 About
 
 ARQ - A SPARQL Processor for Jena
 
 Tags:
 
 ARQ
 
 2005-10-10 About
 
 Jena TDB
 Joseki
 
 jena-dev : Message: Joseki requirements
 
 Tags:
 
 Jena and database
 Jena dev
 Joseki
 
 2009-06-26 About
 
 RDF Net API
 
 Tags:
 
 Andy Seaborne
 Joseki
 RDF Net API
 
 A simple network interface to remote RDF models. There are two sets of functionality: a basic access mechanism that provides query capability to a collection of RDF statements, and an update mechanism where, subject to security constraints (not discussed here), changes to the RDF model can be made.
 
 2008-01-09 About
 
 Joseki - A SPARQL Server for Jena
 
 Tags:
 
 Joseki
 
 2008-01-04 About
 
 SDB: A SPARQL Database for Jena
 
 Federated SPARQL queries - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL AND Jena
 
 2010-01-20 About
 
 ARQ - SPARQL Tutorial
 
 Tags:
 
 SPARQL AND Jena
 SPARQL Tutorial
 
 2007-07-07 About
 
 Search RDF data with SPARQL (and Jena)
 
 Tags:
 
 IBM developerWorks
 SPARQL AND Jena
 
 2007-04-20 About
 
 danbri’s foaf stories » SPARQLing Protégé-OWL Jena integration
 
 Tags:
 
 Dan Brickley
 OWL
 Protégé
 SPARQL AND Jena
 
 2005-08-18 About
 
 Apache Jena - RDF Patch
 
 Tags:
 
 Jena
 
 2023-01-03 About
 
 Calling your own JavaScript functions from SPARQL queries
 
 Tags:
 
 Bob DuCharme
 JavaScript
 Jena
 SPARQL
 
 2021-06-07 About
 
 [ANN] Apache Jena 3.2.0 released from A. Soroka on 2017-02-13 (semantic-web@w3.org from February 2017)
 
 Tags:
 
 Jena
 
 2017-02-14 About
 
 Jena Text
 
 Tags:
 
 Jena
 Lucene
 Solr + RDF
 Text Search
 
 2015-08-31 About
 
 An XSLT stylesheet transforming Jena's RDF/XML format to JSON-LD.
 
 Tags:
 
 Jena
 JSON-LD
 XSLT
 
 2015-05-25 About
 
 controlling JSON-LD output, Apache Jena main user support list
 
 Tags:
 
 Jena
 JSON-LD
 
 2014-11-18 About
 
 Re: LDP interfaces in Java (based on Jena and JAX-RS) from Jürgen Jakobitsch on 2012-08-06 (public-ldp-wg@w3.org from August 2012)
 
 Tags:
 
 Jena
 LDP: implementations
 
 2014-09-10 About
 
 Thesaurus-augmented Search with Jena Text | ZBW Labs
 
 Tags:
 
 Jena
 Jena Fuseki
 Lucene
 Semanlink related
 SKOS
 Text Search
 Thesaurus
 
 2013-08-12 About
 
 Apache Jena - Using Jena with Apache Maven
 
 Tags:
 
 Jena
 Maven
 
 2012-08-14 About
 
 Serializing Apache Jena's RDF resources via JAXB into JSON docments in a JAX-RS context.
 
 Tags:
 
 Jena
 jersey/RDF
 RDF-in-JSON
 
 2012-03-19 About
 
 Danny Ayers - Google+ - I've knocked together a serializer for Jena to the minimal…
 
 Tags:
 
 Danny Ayers
 Jena
 RDF-in-JSON
 
 2012-02-20 About
 
 [#JENA-203] support for Non Blocking Parsers - ASF JIRA
 
 Tags:
 
 Henry Story
 Jena
 
 2012-02-02 About
 
 What is the best Java RDFa Parser? - Semantic Overflow
 
 Tags:
 
 Java
 Jena
 RDFa
 Semantic Overflow
 
 2011-02-09 About
 
 Jena Semantic Web Framework
 
 Tags:
 
 Jena
 
 2009-11-12 About
 
 Expose LDAP directories to the Semantic Web with SquirrelRDF
 
 Tags:
 
 Database to RDF mapping
 Jena
 LDAP
 
 2008-10-28 About
 
 Virtuoso Jena Provider
 
 Tags:
 
 Jena
 Virtuoso
 
 The Virtuoso Jena RDF Data Provider is a fully operational Native Graph Model Storage Provider for the Jena Framework, enables Semantic Web applications written using the Jena RDF Frameworks to query the Virtuoso RDF Quad store directly.
 
 2008-08-28 About
 
 Applications Built on Jena - Tom Heath's Displacement Activities - by tomheath
 
 Tags:
 
 Jena
 LinkTo Semanlink
 Tom Heath
 
 2007-08-22 About
 
 RDFa support in Jena GRDDL Reader (SVN)
 
 Tags:
 
 GRDDL
 Jena
 Jeremy Carroll
 RDFa
 
 2007-05-31 About
 
 Jena on Sourceforge
 
 Tags:
 
 Jena
 SourceForge
 
 HOME DE JENA
 
 2006-11-06 About
 
 The ultimate mashup -- Web services and the semantic Web
 
 Tags:
 
 IBM developerWorks
 Jena
 Mashups
 Semantic Web Services
 Web Services
 
 In addition to single-service applications, developers are creating mashups, applications that combine data from multiple services to create something new. This series chronicles the creation of the ultimate mashup, an application that not only stores data from different mashups but uses semantic technology to enable users to create their own mashups by swapping services, or even by picking and choosing data. It uses Java™ programming and a combination of servlets, JSP, software from the open source Jena project, and DB2's new native XML capabilities.
 
 2006-08-29 About
 
 alphaWorks : IBM Web Ontology Manager
 
 Tags:
 
 IBM
 IBM developerWorks
 Java
 Jena
 Ontologies
 OWL
 
 IBM Web Ontology Manager is a lightweight, Web-based tool for managing ontologies expressed in Web Ontology Language (OWL). With this technology, users can browse, search, and submit ontologies to an ontology repository. This technology includes a Web interface for easy uploading of ontologies in an .owl format by any user of the system. It also includes an interface for generating (using Jastor) Java™ APIs from uploaded ontology files. IBM Web Ontology Manager differs from IBM Ontology Management System (a former alphaWorks technology, now merged into the IBM Integrated Ontology Development Toolkit) in that it does not include a statement repository. Instead, based on the ontologies visible to the system, it can generate Java classes for accessing any Jena-compatible RDF statement repository.
 
 2006-04-29 About
 
 BBC - Backstage
 
 Tags:
 
 BBC
 Jena
 
 2005-10-06 About
 
 Lost Boy: Using Jena in an Application Server
 
 Tags:
 
 Jena
 Leigh Dodds
 
 2005-10-04 About
 
 Processing A Site Summary Format with Jena
 
 Tags:
 
 Jena
 RSS Dev
 
 2005-04-30 About
 - Linked Data publishing
 OntoWiki
 
 blog.aksw.org » Blog Archive » OntoWiki Feature of the Week: Document Management
 
 Tags:
 
 OntoWiki
 
 2013-09-10 About
 
 OntoWiki — Agile Knowledge Management and Semantic Web (AKSW)
 
 Tags:
 
 OntoWiki
 
 Semantic data wiki as well as Linked Data publishing engine
 
 2013-09-10 About
 
 Best Practices for Publishing Linked Data
 
 Tags:
 
 Linked Data
 Linked Data publishing
 
 2014-03-25 About
 
 Open Data Press - Google Sheets to Open Data
 
 Tags:
 
 Google
 Linked Data publishing
 
 2014-01-28 About
 
 Techniques used in RDF Data Publishing at Nature Publishing Group
 
 Tags:
 
 Linked Data publishing
 Nature (journal)
 
 2013-06-03 About
 
 Kingsley Idehen - Google+ - DIY Linked Data Deployment via DropBox Unbeknownst to…
 
 Tags:
 
 DIY
 Dropbox
 Kingsley Idehen
 Linked Data publishing
 
 2013-03-13 About
 - Mapping data from spreadsheets to RDF
 RDF123
 
 RDF123 Homepage
 
 Tags:
 
 RDF123
 
 2007-09-05 About
 
 Applying a character transformation to the content of a cell when creating an URI - RDF123 | Google Groups
 
 Tags:
 
 RDF123
 URI
 
 2007-08-30 About
 
 RDF123 maps spreadsheet data to RDF
 
 Tags:
 
 RDF123
 
 2007-08-22 About
 
 TechnicaLee Speaking: Videos: Anzo for Excel in action
 
 Tags:
 
 Anzo
 Excel
 Lee Feigenbaum
 Mapping data from spreadsheets to RDF
 
 2008-10-23 About
 
 mnot’s Web log: Adding Semantics to Excel with Microformats and GRDDL
 
 Tags:
 
 Excel
 GRDDL
 Mapping data from spreadsheets to RDF
 Microformats
 
 2007-07-06 About
 - N3
 
 EulerGUI
 
 Tags:
 
 N3
 Reasoning
 
 A lightweight IDE for Artificial Intelligence. Started as GUI for the Euler reasoning engine. The sources can be N3, RDF, OWL, UML, eCore, plain XML or XSD, files or URL's. Wraps Drools (or CWM, FuXi) as N3 rules engines. Model based app. generation.
 
 2011-01-04 About
 
 Converting CSV to RDF - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 CSV
 N3
 Tips
 
 2010-08-12 About
 
 Online N3 Validator
 
 Tags:
 
 N3
 RDF Validator
 SW online tools
 
 2009-04-01 About
 
 Rules and Formulae
 
 Tags:
 
 N3
 Rules
 Tim Berners-Lee
 
 2007-02-08 About
 
 Semantic Web Tutorial Using N3
 
 Tags:
 
 N3
 Tim Berners-Lee
 Tutorial
 
 2007-02-08 About
 - Named Graphs
 NG4J
 
 Named Graphs / Semantic Web Interest Group
 
 Tags:
 
 Named Graphs
 
 2010-05-14 About
 
 Approaches to Publishing Linked Data via Named Graphs « Lost Boy
 
 Tags:
 
 Leigh Dodds
 Named Graphs
 
 2010-01-20 About
 
 Managing RDF Using Named Graphs « Lost Boy
 
 Tags:
 
 Leigh Dodds
 Named Graphs
 
 2009-11-12 About
 
 Querying a set of named RDF graphs without naming the graphs - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Named Graphs
 SPARQL Tips
 
 2009-03-31 About
 
 Named graphs in Open Anzo - TechnicaLee Speaking
 
 Tags:
 
 Anzo
 Lee Feigenbaum
 Named Graphs
 
 2009-03-03 About
 - RDF/binary
 RDF Thrift
 
 RDF Thrift : A binary format for RDF data
 
 Tags:
 
 RDF Thrift
 
 a binary format for RDF graphs, datasets and SPARQL result sets that is fast to process.
 
 2014-09-08 About
 
 RDF HDT
 
 Tags:
 
 RDF/binary
 
 HDT (Header, Dictionary, Triples), a compact data structure and binary serialization format for RDF. "HDT compresses big RDF datasets while maintaining search and browse operations"
 
 2014-09-04 About
 - RDF*
 
 Position Statement: The RDF* and SPARQL* Approach to Annotate Statements in RDF and to Reconcile RDF and Property Graphs | Olaf Hartig
 
 Tags:
 
 Olaf Hartig
 RDF*
 RDF and Property Graphs
 
 2019-03-01 About
 - RDFa
 backplanejs
 RDFj
 
 Rdfj
 
 Tags:
 
 backplanejs
 RDF-in-JSON
 RDFj
 
 RDFj is a set of conventions for - constructing JSON objects in such a way that they can easily be interpreted as RDF; - taking RDF and arriving at canonical JSON objects.
 
 2012-02-21 About
 
 backplanejs: A basic introduction to using the RDFa Parser in your web pages
 
 Tags:
 
 backplanejs
 RDFa
 
 2012-03-19 About
 
 Rdfj
 
 Tags:
 
 backplanejs
 RDF-in-JSON
 RDFj
 
 RDFj is a set of conventions for - constructing JSON objects in such a way that they can easily be interpreted as RDF; - taking RDF and arriving at canonical JSON objects.
 
 2012-02-21 About
 
 Common Tag
 
 Mappings between the CommonTag vocabulary and existing vocabularies
 
 Tags:
 
 Common Tag
 
 2011-01-03 About
 
 CommonTag too complicated? - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Common Tag
 
 2009-06-15 About
 
 CommonTag - An easy-to-use vocabulary for Semantic Tagging | Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 Common Tag
 Semantic tagging
 
 2009-06-15 About
 
 RDF2RDFa
 
 RDF2RDFa-izer
 
 Tags:
 
 GitHub project
 RDF2RDFa
 RDF-OWL documentation tool
 
 RDF2RDFa-izer is currently a deadly simple web frontend of the RDFa Serializer plugin (written by Keith Alexander) for ARC, a Semantic Web Framework written in PHP.
 
 2013-08-27 About
 
 RDFa 1.1
 RDFa 1.1 Lite
 
 RDFa Lite 1.1
 
 Tags:
 
 RDFa 1.1 Lite
 W3C Recommendation
 
 2013-06-14 About
 
 Schema.org and RDFa 1.1 Lite: how does it look now? - W3C Blog
 
 Tags:
 
 Ivan Herman
 RDFa 1.1 Lite
 schema.org
 
 2013-06-12 About
 
 Introduction to: RDFa 1.1 Lite - semanticweb.com
 
 Tags:
 
 RDFa 1.1 Lite
 
 2011-10-23 About
 
 RDFa 1.1, microdata, and turtle-in-HTML now in the core distribution of RDFLib | Ivan’s private site
 
 Tags:
 
 Microdata
 RDFa 1.1
 RDFLib
 Turtle in HTML
 
 2013-09-06 About
 
 RDFa 1.1 Primer
 
 Tags:
 
 RDFa
 RDFa 1.1
 
 2013-06-15 About
 
 RDFa 1.1 Distiller and Parser
 
 Tags:
 
 RDFa 1.1
 RDFa tool
 Validator
 
 2013-06-13 About
 
 Semargl: better linked data processing
 
 Tags:
 
 Manu Sporny
 RDFa 1.1
 
 RDFa 1.1 processor - java
 
 2013-01-07 About
 
 HTML+RDFa 1.1
 
 Tags:
 
 HTML
 RDFa 1.1
 
 2010-09-03 About
 
 RDFa 1.1 pour corriger les erreurs de jeunesse ? | Les petites cases
 
 Tags:
 
 Les petites cases
 RDFa 1.1
 
 2010-05-14 About
 
 RDFa Lite
 RDFa 1.1 Lite
 
 schema.org - Data Model / Mapping to RDFa 1.1
 
 Tags:
 
 RDFa Lite
 schema.org
 
 Some good points: The decision to allow multiple domains and ranges was purely pragmatic. While the computational properties of systems with a single domain and range are easier to understand, in practice, this forces the creation of a lot of artifical types, which are there purely to act as the domain/range of some properties. While we would like all the markup we get to follow the schema, in practice, we expect a lot of data that does not. We expect schema.org properties to be used with new types. We also expect that often, where we expect a property value of type Person, Place, Organization or some other subClassOf Thing, we will get a text string. In the spirit of "some data is better than none", we will accept this markup and do the best we can.
 
 2011-06-09 About
 
 RDFa parser
 
 shellac/java-rdfa ; github (Damian Steer)
 
 Tags:
 
 Damian Steer
 RDFa parser
 
 "The cruftiest RDFa parser in the world, I'll bet." (sic)
 
 2013-07-05 About
 
 What is the best Java RDFa Parser? - semanticweb.com ANSWERS
 
 Tags:
 
 Java
 RDFa parser
 
 2013-01-28 About
 
 RDFa tool
 rdfQuery
 
 Yandex checker
 
 Tags:
 
 RDFa tool
 schema.org
 Validator
 
 2013-06-25 About
 
 Structured Data Linter
 
 Tags:
 
 RDFa tool
 Validator
 
 Enter a URL to see what structured data your page contains.
 
 2013-06-24 About
 
 RDFa 1.1 Distiller and Parser
 
 Tags:
 
 RDFa 1.1
 RDFa tool
 Validator
 
 2013-06-13 About
 
 Semargl: better linked data processing
 
 Tags:
 
 Java tool
 RDFa tool
 
 Semargl is a modular framework for crawling linked data from structured documents. The main goal of project is to provide lightweight and performant tool without excess dependencies. At this moment it offers high-performant streaming parsers for RDF/XML, RDFa, N-Triples, streaming serializer for Turtle and integration with Jena, Sesame and Clerezza. Small memory footprint, and CPU requirements allow framework to be used by any application. It runs seamlessly on Android and GAE.
 
 2013-01-28 About
 
 RDFa / Play: visualizer for RDFa by @manusporny
 
 Tags:
 
 Manu Sporny
 RDFa tool
 
 2012-08-25 About
 
 RDFa Distiller and Parser
 
 Tags:
 
 Dev tools
 Ivan Herman
 RDFa
 RDFa tool
 
 2011-01-18 About
 
 RDFa Bookmarklets
 
 Tags:
 
 Bookmarklet
 JavaScript
 RDFa tool
 
 This is the home of the RDFa Javascript implementation, including the RDFa bookmarklets.
 
 2007-05-31 About
 
 Why Drupal 8 should drop RDFa (and microdata) in favor of JSON | Lin Clark
 
 Tags:
 
 Drupal
 JSON-LD
 RDFa
 
 2014-11-18 About
 
 Microdata and RDFa Living Together in Harmony | Jeni's Musings
 
 Tags:
 
 Jeni Tennison
 Microdata
 RDFa
 
 2014-04-13 About
 
 Renault range with RDFa markup
 
 Tags:
 
 C2GWeb
 C2GWeb on the web
 C2GWeb RDF
 RDFa
 
 More complete description in <a href="http://uk.co.rplug.renault.com/product/gen?as=jsonld">JSON-LD</a> and in <a href="http://uk.co.rplug.renault.com/product/gen?as=ttl">turtle</a>. You can <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=http://uk.co.rplug.renault.com/product/gen?embed=true">test the HTML/RDFa content</a> Note: this page only provides links to the models. Could and probably should also provide links involving other specifications. For instance, the choice "Diesel" could link to the URI of the "Diesel" specification, which includes the links to the corresponding configurations (one for each model that support diesel engine): <a href="http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?embed=true">http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?embed=true</a> Again, a more complete description in <a href="http://uk.co.rplug.renault.com/product/gen/spec/PT1628_diesel/-?as=ttl">turtle</a> It wouldn't be easily possible, however, to have links to things such as "climate control", because this kind of specification depends on the model: the climate control on Clio is not the same thing as the climate control on Laguna. There are therefore different URIs for the different "climate control" specifications (one for each model that support some form of climate control). Here's the specification "climate control" on "New Clio": <a href="http://uk.co.rplug.renault.com/product/model/CL4/new-clio/spec/CAREG/automatic-climate-control?embed=true">http://uk.co.rplug.renault.com/product/model/CL4/new-clio/spec/CAREG/automatic-climate-control?embed=true</a> And here is the <a href="http://uk.co.rplug.renault.com/product/model/CL4/new-clio/c/A-CL4-CAREG?embed=true">"New Clio with climate control"</a> configuration, along with the corresponding <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=http://uk.co.rplug.renault.com/product/model/CL4/new-clio/c/A-CL4-CAREG?embed=true">test page</a>.
 
 2014-02-07 About
 
 TurtleScript
 
 Tags:
 
 Javascript RDF
 RDFa
 Turtle in HTML
 
 TurtleScript is a project to demonstrate the utility of including the Turtle RDF serialization in HTML files as a form of metadata. It is intended as proposed alternative or supplement to microformats and RDFa.
 
 2013-09-06 About
 
 RDFa / schema.org test
 
 Tags:
 
 C2GWeb and Product description
 C2GWeb RDF
 RDFa
 schema.org
 
 et aussi <a href="http://www.semanlink.net/2013/07/coldrdfa/?url=confnew.html">http://www.semanlink.net/2013/07/coldrdfa/?url=confnew.html</a>
 
 2013-09-02 About
 
 Re: Offer data in separate places in HTML from Robert Kost on 2013-05-14 (public-vocabs@w3.org from May 2013)
 
 Tags:
 
 public-vocabs@w3.org
 RDFa
 
 Is there an equivalent method for doing itemref in RDFa?
 
 2013-07-21 About
 
 additionalType property, vs extending Microdata syntax for multiple types from Dan Brickley on 2012-06-15 (public-vocabs@w3.org from June 2012)
 
 Tags:
 
 Dan Brickley
 Microdata
 public-vocabs@w3.org
 RDFa
 schema.org
 
 "The reason of adding this property is to patch microdata..." C'est ici que les Athéniens s'atteignirent
 
 2013-07-06 About
 
 schema.org: About RDFa - Webmaster Tools Help
 
 Tags:
 
 RDFa
 schema.org
 
 2013-07-06 About
 
 Is visually hidden RDFa an anti-pattern? - ANSWERS
 
 Tags:
 
 css
 RDFa
 
 2013-06-16 About
 
 Highlight RDFa with CSS from Niklas Lindström on 2012-05-20 (public-rdfa-wg@w3.org from May 2012)
 
 Tags:
 
 css
 RDFa
 
 2013-06-16 About
 
 RDFa 1.1 Primer
 
 Tags:
 
 RDFa
 RDFa 1.1
 
 2013-06-15 About
 
 RDFa format data: what is its impact and when should you implement?
 
 Tags:
 
 Google Rich Snippets
 RDFa
 
 2013-01-30 About
 
 RDFa for videos rendered in javascript - Stack Overflow
 
 Tags:
 
 JavaScript
 RDFa
 
 RDFa markup generated by Javascript is invisible to Google and Yahoo, just like other markup.
 
 2012-09-01 About
 
 Using RDFa to make a web page editable - Henri Bergius
 
 Tags:
 
 Henri Bergius
 RDFa
 VIE Vienna IKS Editables
 
 2012-09-01 About
 
 What is a good Javascript RDFa parser implementation? - Stack Overflow
 
 Tags:
 
 JavaScript
 RDFa
 
 2012-09-01 About
 
 rdfQuery: Progressive Enhancement with RDFa | Jeni's Musings
 
 Tags:
 
 Jeni Tennison
 RDFa
 rdfQuery
 
 2012-08-09 About
 
 backplanejs: A basic introduction to using the RDFa Parser in your web pages
 
 Tags:
 
 backplanejs
 RDFa
 
 2012-03-19 About
 
 RDFa, Microdata, and RDF (Two Notes Published by the W3C HTML Data Task Force) | Semantic Web Activity News
 
 Tags:
 
 HTML Data
 Microdata
 RDFa
 Semantic markup in HTML
 W3C
 
 2012-03-10 About
 
 RDFa demonstracija
 
 Tags:
 
 RDFa
 rdfQuery
 
 2012-02-21 About
 
 VIE - IKS Project
 
 Tags:
 
 Annotations (java)
 Interactive Knowledge Stack
 JavaScript
 RDFa
 
 VIE, or Vienna IKS Editables is a project to make the content of your web pages editable through annotations. This means that by simply including some RDFa on your pages you can built rich user interactions and interfaces on the JavaScript level.
 
 2011-09-13 About
 
 Using RDFa for testing templates - DBTune blog
 
 Tags:
 
 RDFa
 Unit test
 Web dev
 
 2011-06-29 About
 
 RDFa cheat sheet
 
 Tags:
 
 Cheat sheet
 RDFa
 
 2011-06-29 About
 
 Microdata chosen over RDFa for semantics by Google, Bing and Yahoo!
 
 Tags:
 
 Microdata
 RDFa
 schema.org
 
 2011-06-07 About
 
 Getting started with RDFa: Creating a basic FOAF profile | webBackplane
 
 Tags:
 
 foaf
 RDFa
 
 2011-03-24 About
 
 Linked Data Tutorial - Publishing and consuming linked data with RDFa
 
 Tags:
 
 Linked Data
 Michael Hausenblas
 RDFa
 Richard Cyganiak
 Tutorial
 
 2011-03-24 About
 
 Semantic SEO for Google with GoodRelations and RDFa | Hepp Research GmbH
 
 Tags:
 
 GoodRelations
 Google
 RDFa
 
 2011-03-24 About
 
 Automated RDFa Output from DITA Open Toolkit - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 DITA
 RDFa
 
 2011-02-15 About
 
 Using RDFa with DITA and DocBook
 
 Tags:
 
 Bob DuCharme
 DITA
 RDFa
 
 2011-02-15 About
 
 What is the best Java RDFa Parser? - Semantic Overflow
 
 Tags:
 
 Java
 Jena
 RDFa
 Semantic Overflow
 
 2011-02-09 About
 
 TopQuadrant's RDFa Implementation Report
 
 Tags:
 
 RDFa
 TopQuadrant
 
 2011-01-18 About
 
 Tools - RDFaWiki
 
 Tags:
 
 RDFa
 Tools
 
 2011-01-18 About
 
 Live Loop
 
 Tags:
 
 Dev tools
 RDFa
 
 Live Loop lets you play with HTML+RDFa markup and instantly see the data that your markup produces.
 
 2011-01-18 About
 
 RDFa Distiller and Parser
 
 Tags:
 
 Dev tools
 Ivan Herman
 RDFa
 RDFa tool
 
 2011-01-18 About
 
 check.rdfa
 
 Tags:
 
 Dev tools
 RDFa
 
 2011-01-18 About
 
 Index of /semweblabs/semwebpro/rdfa
 
 Tags:
 
 Gautier Poupeau
 RDFa
 SemWeb Pro 2011
 
 2011-01-18 About
 
 RDFa API
 
 Tags:
 
 RDFa
 
 2011-01-17 About
 
 RDFa in XHTML: Syntax and Processing
 
 Tags:
 
 RDFa
 W3C Recommendation
 
 2010-12-28 About
 
 HTML5+RDFa A mechanism for embedding RDF in HTML
 
 Tags:
 
 HTML5
 RDFa
 
 2010-09-03 About
 
 How Best Buy Is Using The Semantic Web - NYTimes.com
 
 Tags:
 
 GoodRelations
 RDFa
 Semantic Enterprise
 Semantic web : Use cases
 
 2010-07-30 About
 
 RDFa API
 
 Tags:
 
 RDFa
 
 2010-06-11 About
 
 RESTful SPARQL queries of RDFa - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 RDFa
 SPARQL
 
 I can say "extract the RDF triples from the RDFa on that web page and then run this SPARQL query against it" all with a single URL.
 
 2010-06-04 About
 
 Self-documenting vocabularies using RDFa
 
 Tags:
 
 RDFa
 
 2010-05-30 About
 
 Newsweek using RDFa
 
 Tags:
 
 RDFa
 
 2010-05-28 About
 
 RDFa » Blog Archive » Facebook adopts RDFa
 
 Tags:
 
 Facebook
 RDFa
 
 2010-04-27 About
 
 SearchMonkey and RDFa - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 RDFa
 SearchMonkey
 
 2009-06-15 About
 
 RDFa for HTML Authors
 
 Tags:
 
 RDFa
 Tutorial
 
 2009-05-15 About
 
 A different usage of RDFa… « Ivan’s private site
 
 Tags:
 
 Ivan Herman
 RDFa
 
 2009-01-16 About
 
 Mediterranean Ceramics: RDFa at Ilion
 
 Tags:
 
 Asie mineure
 Grèce antique
 Linked Data
 RDFa
 
 The Greek, Roman and Byzantine Pottery at Ilion (GRPBIlion) database exports its content as Linked Data using RDFa
 
 2008-12-08 About
 
 RDFaiser votre blog, 2ème partie : la pratique | Les petites cases
 
 Tags:
 
 Blog
 Gautier Poupeau
 Howto
 RDFa
 
 2008-05-20 About
 
 RDFa Tutorial WWW2008 (demo files) - Elias Torres
 
 Tags:
 
 Elias Torres
 JavaScript
 RDFa
 Tutorial
 
 2008-04-21 About
 
 RDFa
 
 Tags:
 
 RDFa
 
 Linked Data in HTML
 
 2008-04-21 About
 
 Ben Adida - RDFa, slides du workshop à WWW2008
 
 Tags:
 
 Ben Adida
 Elias Torres
 RDFa
 Slides
 WWW 2008
 
 2008-04-21 About
 
 Yahoo! Search Blog: The Yahoo! Search Open Ecosystem
 
 Tags:
 
 Microformats
 RDFa
 Yahoo!
 
 2008-03-17 About
 
 Alistair Miles » SKOS and RDFa in e-Learning
 
 Tags:
 
 Alistair Miles
 Online Learning
 RDFa
 SKOS
 
 Both SKOS and RDFa have interesting consequences for e-learning technology, and especially for leveraging the Web as a platform for delivering learning.
 
 2007-11-20 About
 
 The RDFa Test Harness (Crazy Ivan)
 
 Tags:
 
 RDFa
 
 The RDFa Test Harness provides an interactive mechanism to check the conformance of an RDFa extractor and SPARQL query engine.
 
 2007-11-07 About
 
 RDFa - W3C Semantic Web Deployment Wiki
 
 Tags:
 
 RDFa
 W3C
 
 2007-10-06 About
 
 RDFa in the wild
 
 Tags:
 
 RDFa
 
 This page tries to gather RDFa implementations, systems that use (or contemplate on using) RDFa, and RDFa-based vocabularies and the like.
 
 2007-08-23 About
 
 TechnicaLee Speaking: Using RDF on the Web: A Vision
 
 Tags:
 
 Lee Feigenbaum
 RDFa
 RDF Templating
 Semantic markup in HTML
 
 2007-07-04 About
 
 XML.com: Introducing RDFa, Part Two
 
 Tags:
 
 RDFa
 
 2007-07-02 About
 
 dowhatimean.net » Less code: eRDF templates for RDF-driven web sites
 
 Tags:
 
 eRDF
 RDFa
 RDF-driven web sites
 Richard Cyganiak
 
 Let’s assume you have a web application driven by data from an RDF triple store. You generate HTML pages by querying the triple store and inserting the bits and pieces into an HTML template. Now if you add eRDF or RDFa annotations to the HTML template, in a way that reflects the original RDF data, then by definition the annotations completely specify what data you need to populate the page. And the template itself therefore must be sufficient to extract all the required triples from the store. No coding needed!
 
 2007-05-31 About
 
 RDFa support in Jena GRDDL Reader (SVN)
 
 Tags:
 
 GRDDL
 Jena
 Jeremy Carroll
 RDFa
 
 2007-05-31 About
 
 Amusons-nous avec RDFa | Les petites cases
 
 Tags:
 
 Gautier Poupeau
 RDFa
 
 Exemple d'utilisation de RDFa (lecture de liens vers dbPedia inclus dans la page)
 
 2007-05-30 About
 
 Elias Torres » Blog Archive » Operator Overload
 
 Tags:
 
 Elias Torres
 RDFa
 XTech 2007
 
 Next release of Firefox plugin Operator will support RDFa. This post includes examples from the presentation at XTech.
 
 2007-05-19 About
 
 XTech 2007: Open Data in HTML: GRDDL, eRDF and RDFa
 
 Tags:
 
 Elias Torres
 GRDDL
 Microformats
 RDFa
 Semantic markup in HTML
 XTech 2007
 
 Tour through the latest techniques available to embed or extract semantic markup from HTML pages.
 
 2007-05-18 About
 
 XML.com: Introducing RDFa
 
 Tags:
 
 RDFa
 
 2007-04-10 About
 
 ARC Embedded RDF (eRDF) Parser for PHP
 
 Tags:
 
 Microformats
 RDFa
 RDF Parser
 Semantic markup in HTML
 
 While searching for a suitable output format for a new RDF framework, I've been looking at the various semantic hypertext approaches, namely microformats, Structured Blogging, RDFa, and Embedded RDF (eRDF). Each one has its pros and cons...
 
 2006-05-29 About
 
 RDF/A Primer 1.0: Embedding RDF in XHTML
 
 Tags:
 
 RDFa
 
 2006-05-23 About
 - RDF and database
 Database to RDF mapping
 RDF Access to Relational Databases
 
 Report from the W3C Workshop on RDF Access to Relational Databases
 
 Tags:
 
 RDF Access to Relational Databases
 W3C
 
 2009-02-10 About
 
 SQL to RDF mapping
 TripleStore
 4store
 
 Linked Enterprise Data in a nutshell « Web of Data
 
 Tags:
 
 4store
 Linked Data demo
 Michael Hausenblas
 
 2010-09-30 About
 
 AllegroGraph
 
 The Pfizer IDEA project: An Interview with Franz' Jans Aasman and IO Informatics' Robert Stanley | Semantic Universe
 
 Tags:
 
 AllegroGraph
 Pfizer
 
 2010-08-24 About
 
 Franz Inc. Web 3.0's Database
 
 Tags:
 
 AllegroGraph
 Semantic web company
 
 2010-08-24 About
 
 Anzo
 
 Could SemTech Run On Excel? (SemTech Lightning Demo) - TechnicaLee Speaking
 
 Tags:
 
 Anzo
 Excel and SW
 Lee Feigenbaum
 SW demo
 
 2010-09-02 About
 
 CONSTRUCTing Quads - TechnicaLee Speaking
 
 Tags:
 
 Anzo
 Lee Feigenbaum
 Quads
 
 2009-07-08 About
 
 Named graphs in Open Anzo - TechnicaLee Speaking
 
 Tags:
 
 Anzo
 Lee Feigenbaum
 Named Graphs
 
 2009-03-03 About
 
 TechnicaLee Speaking: Videos: Anzo for Excel in action
 
 Tags:
 
 Anzo
 Excel
 Lee Feigenbaum
 Mapping data from spreadsheets to RDF
 
 2008-10-23 About
 
 Jena TDB
 Triple-store powered site
 
 First BBC microsite powered by a triple-store - DBTune blog
 
 Tags:
 
 BBC
 Triple-store powered site
 Yves Raymond
 
 2010-07-16 About
 
 Virtuoso
 
 Can we include algorithms/programs in RDF database like PL*SQL in Oracle database?
 
 Tags:
 
 Good question
 TripleStore
 
 2015-03-04 About
 
 The Graph Database and the RDF Database | Inside Analysis
 
 Tags:
 
 Graph database
 TripleStore
 
 2015-01-26 About
 
 Storing and querying RDF in Neo4j - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Neo4j
 TripleStore
 
 2015-01-19 About
 
 How RDF Databases Differ from Other NoSQL Solutions - The Datagraph Blog
 
 Tags:
 
 NOSQL
 TripleStore
 
 2014-10-14 About
 
 OWLIM | Ontotext
 
 Tags:
 
 Jena and database
 TripleStore
 
 OWLIM is a family of semantic repositories, or RDF database management systems, with the following characteristics: native RDF engines, implemented in Java delivering full performance through both Sesame and Jena robust support for the semantics of RDFS, OWL 2 RL and OWL 2 QL best scalability, loading and query evaluation performance
 
 2012-06-13 About
 
 RDF store for use with node.js?
 
 Tags:
 
 Danny Ayers
 node.js
 TripleStore
 
 2011-09-13 About
 
 rdfstore-js
 
 Tags:
 
 Javascript RDF
 SPARQL en javascript
 TripleStore
 
 rdfstore-js is a pure Javascript implementation of a RDF graph store with support for the SPARQL query and data manipulation language.
 
 2011-08-28 About
 
 Armadillo - Gestion documentaire multimédia
 
 Tags:
 
 GED
 Multimedia
 SemWeb Pro 2011
 TripleStore
 
 2011-01-23 About
 
 Getting started using Virtuoso as a triplestore - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 TripleStore
 Virtuoso
 
 2009-03-03 About
 
 Create Scalable Semantic Applications with Database-Backed RDF Stores
 
 Tags:
 
 Jena and database
 TripleStore
 
 2008-09-10 About
 
 Relational database integration with RDF/OWL
 
 Tags:
 
 Bob DuCharme
 D2RQ
 Oracle
 TripleStore
 
 2008-06-04 About
 
 Phil Dawes’ Stuff » Some ideas for static triple indexing
 
 Tags:
 
 TripleStore
 
 2007-05-20 About
 
 Mulgara: open source scalable RDF database written entirely in Java.
 
 Tags:
 
 TripleStore
 
 Open Source fork of Kowari.
 
 2006-10-09 About
 
 Triplestores! Virtuosity! Marsupials!
 
 Tags:
 
 Tools
 TripleStore
 
 Virtuoso provides:<ul><li>Object-Relational DBMS Engine (ORDBMS like PostgreSQL and DBMS engine like MySQL)</li> <li>XML Data Management (with support for XQuery, XPath, XSLT, and XML Schema)</li> <li>RDF Triple Store (or Database) that supports SPARQL (Query Language, Transport Protocol, and XML Results Serialization format)</li> <li>Service Oriented Architecture</li> <li>Web Application Server (supports HTTP/WebDAV)</li> <li>NNTP compliant Discussion Server</li></ul>
 
 2006-04-30 About
 
 Quad store performance issues
 
 Tags:
 
 RDF performance issues
 SPARQL
 TripleStore
 
 2005-11-16 About
 
 Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
 
 Tags:
 
 RDF
 RDF Schema
 TripleStore
 
 Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
 
 2005-10-28 About
 
 LargeTripleStores - ESW Wiki
 
 Tags:
 
 TripleStore
 
 2005-09-17 About
 
 http://www.openrdf.org
 
 Tags:
 
 RDF Schema inferencing
 RDF Schema querying
 TripleStore
 
 Sesame is an open source RDF database with support for RDF Schema inferencing and querying.
 
 2005-04-26 About
 - RDF and SOA
 
 RDF and SOA
 
 Tags:
 
 Good
 RDF and SOA
 Semantic Web Services vs SOAP
 
 The purpose of this paper is not to propose a particular standardization effort for refining the existing XML-based, WS* approach to Web services, but to suggest another way of thinking about Service Oriented Architecture (SOA) in terms of RDF message exchange, even when custom XML formats are used for message serialization. Workshop on Web of Services for Enterprise Computing, W3C
 
 2007-03-12 About
 - RDF and social networks
 foaf
 foaf+ssl
 
 Foaf+ssl - ESW Wiki
 
 Tags:
 
 foaf+ssl
 Henry Story
 
 2011-01-18 About
 
 Using RDF Metadata To Enable Access Control on the Social Semantic Web
 
 Tags:
 
 Access Control
 foaf+ssl
 Social Semantic Web
 Tim Berners-Lee
 
 James Hollenbach, Joe Presbrey, and Tim Berners-Lee
 
 2010-12-06 About
 
 replacing email with atom and foaf+ssl
 
 Tags:
 
 ATOM (format)
 email
 foaf+ssl
 Henry Story
 
 2010-05-04 About
 
 Getting started with RDFa: Creating a basic FOAF profile | webBackplane
 
 Tags:
 
 foaf
 RDFa
 
 2011-03-24 About
 
 FOAF Me
 
 Tags:
 
 foaf
 
 2011-01-18 About
 
 Replace Facebook with FOAF + twitter + ? - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Facebook
 foaf
 Twitter
 
 2010-06-23 About
 
 [foaf-protocols] semantic pingback improvement request for foaf - Story Henry
 
 Tags:
 
 foaf
 Henry Story
 Semantic pingback
 
 2010-04-26 About
 
 FOAF & SIOC applications, slides (Alexandre Passant, ESWC 2008, "Socail Networks" tutorial)
 
 Tags:
 
 Alexandre Passant
 ESWC 2008
 foaf
 SIOC
 Slides
 Tutorial
 
 2008-06-20 About
 
 foaf enabling an enterprise
 
 Tags:
 
 foaf
 Henry Story
 Semantic Enterprise
 
 2008-05-08 About
 
 SemwebCampParis numéro 2 : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 foaf
 RDF and social networks
 Semantic Camp Paris
 SIOC
 
 2008-04-11 About
 
 One FOAF fits all : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 foaf
 
 2008-04-07 About
 
 Semergence » Blog Archive » Why Flickr Doesn’t Do FOAF
 
 Tags:
 
 Flickr
 foaf
 Privacy and internet
 
 2008-03-29 About
 
 danbri’s foaf stories » FOAF diagram
 
 Tags:
 
 Dan Brickley
 foaf
 
 Diagram showing FOAF classes and properties (and some DOAP, GEO, OWL, SKOS, and SIOC too)
 
 2007-11-07 About
 
 FOAF Vocabulary Specification
 
 Tags:
 
 foaf
 
 2007-10-25 About
 
 dowhatimean.net » Exporting the OS X Address Book to FOAF
 
 Tags:
 
 foaf
 Mac OS X
 
 2006-10-09 About
 
 Give yourself a URI
 
 Tags:
 
 foaf
 Tim Berners-Lee
 URI
 
 2006-01-27 About
 
 Connecting Social Content Services using FOAF, RDF and REST
 
 Tags:
 
 foaf
 Leigh Dodds
 RDF
 REST
 Social Content Services
 
 2005-09-29 About
 
 Might FOAF be a plain XML language?
 
 Tags:
 
 Dev
 foaf
 RDF vs XML
 
 2005-02-10 About
 
 Innoraise
 
 Me on INNORAISE
 
 Tags:
 
 fps
 Innoraise
 
 2008-10-28 About
 
 SIOC
 
 FOAF & SIOC applications, slides (Alexandre Passant, ESWC 2008, "Socail Networks" tutorial)
 
 Tags:
 
 Alexandre Passant
 ESWC 2008
 foaf
 SIOC
 Slides
 Tutorial
 
 2008-06-20 About
 
 SemwebCampParis numéro 2 : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 foaf
 RDF and social networks
 Semantic Camp Paris
 SIOC
 
 2008-04-11 About
 
 From RSS to SIOC using SPARQL : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 RSS
 SIOC
 SPARQL
 
 2008-04-08 About
 
 Weaving SIOC into the Web of Linked Data
 
 Tags:
 
 Alexandre Passant
 LDOW2008
 Richard Cyganiak
 SIOC
 
 2008-03-30 About
 
 Building Secure, Open and Distributed Social Network Applications
 
 Tags:
 
 Cybersecurity
 Henry Story
 RDF and social networks
 Security
 
 2008-09-05 About
 
 BOF-5911: Building a Web 3.0 Address Book
 
 Tags:
 
 Address Book
 DataPortability
 Henry Story
 RDF and social networks
 Social software
 
 2008-05-08 About
 
 SemwebCampParis numéro 2 : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 foaf
 RDF and social networks
 Semantic Camp Paris
 SIOC
 
 2008-04-11 About
 
 Sketch of a simple authentication protocol
 
 Tags:
 
 Authentication
 Henry Story
 RDF and social networks
 
 2008-04-07 About
 
 RDF and social networks - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 QOTD
 RDF and social networks
 RDF vs XML
 
 Defining a vocabulary instead of a DTD is the low-hanging fruit... It doesn't reduce the work to do by simplifying it, but by reducing the scope: by forgetting about the data structures.
 
 2008-04-07 About
 - RDF Application
 BBC semantic publishing
 paggr
 
 paggr -Smart Data Portals
 
 Tags:
 
 paggr
 
 paggr is an interactive application that simplifies the organization and integration of distributed web information. In a few simple steps, users can create personalized, "smart data" portals from a variety of sources and formats such as RDF, remote SPARQL endpoints, microformats, RSS, Atom, RDFa, or selected APIs. Data items in paggr can be linked to each other using an intuitive drag&drop mechanism. Additionally, paggr offers a developer zone where everyone can collaborate on reusable data widgets via simple web forms and a SPARQL-based scripting language with templating mechanism.
 
 2008-11-03 About
 
 RDF and social networks
 Semanlink
 About Semanlink
 LinkTo Semanlink
 
 Helping online communities to semantically enrich folksonomies
 
 Tags:
 
 Folksonomy
 LinkTo Semanlink
 
 2012-02-20 About
 
 Linking Folksonomies and Ontologies for Supporting Knowledge Sharing: a State of the Art
 
 Tags:
 
 folksonomies ontologies
 LinkTo Semanlink
 Semantic tagging
 
 Social tagging systems have recently become very popular as a means to classify large sets of resources shared among on-line communities over the social Web. However, the folksonomies resulting from the use of these systems revealed limitations: tags are ambiguous and their spelling may vary, and folksonomies are difficult to exploit in order to retrieve or exchange information. This report compares the recent attempts to overcome these limitations and to support the use of folksonomies with formal languages and ontologies from the Semantic Web. Projet ISICIL : Intégration Sémantique de l'Information par des Communautés d'Intelligence en Ligne
 
 2009-11-03 About
 
 Manageability - Open Source Social Networking Applications Written in Java
 
 Tags:
 
 LinkTo Semanlink
 
 2008-05-17 About
 
 Semanlink - semantische Bookmarks
 
 Tags:
 
 LinkTo Semanlink
 
 2008-04-10 About
 
 Social Book marking Script - Clones of Digg.com
 
 Tags:
 
 LinkTo Semanlink
 
 2008-02-15 About
 
 semanlink 소개 - Mimul's Developer World
 
 Tags:
 
 LinkTo Semanlink
 
 2007-12-30 About
 
 Nouveautés sur le site hyperSOLutions
 
 Tags:
 
 Archive
 hyperSOLutions
 LinkTo Semanlink
 
 Archive datée de 1998 mentionnant Semanlink
 
 2007-11-13 About
 
 web - Tom Heath's Displacement Activities
 
 Tags:
 
 LinkTo Semanlink
 Tom Heath
 
 2007-09-18 About
 
 Juan Sequeda - Meetings
 
 Tags:
 
 LinkTo Semanlink
 
 2007-09-18 About
 
 Applications Built on Jena - Tom Heath's Displacement Activities - by tomheath
 
 Tags:
 
 Jena
 LinkTo Semanlink
 Tom Heath
 
 2007-08-22 About
 
 ConTag A Tagging System: Linking the Semantic Desktop with Web 2.0
 
 Tags:
 
 LinkTo Semanlink
 Semantic Desktop
 Tagging
 Web 2.0
 
 Diploma Thesis qui cite Semanlink
 
 2007-04-20 About
 
 Folksonomies e tagging/3 « emmeesse
 
 Tags:
 
 LinkTo Semanlink
 
 2007-04-03 About
 
 Semanlink on Netvouz
 
 Tags:
 
 LinkTo Semanlink
 
 Netvouz is an online social bookmark manager
 
 2006-05-28 About
 
 chillyinside.com » Blog Archive » 2006 Jena User Conference
 
 Tags:
 
 Jena User Conference
 LinkTo Semanlink
 
 2006-05-26 About
 
 Jena User Conference - some interesting UI related papers/presentations from Shabajee, Paul on 2006-05-17 (public-semweb-ui@w3.org from May 2006)
 
 Tags:
 
 Jena User Conference
 LinkTo Semanlink
 
 2006-05-25 About
 
 Peter Hale PhD Research - User Driven Programming
 
 Tags:
 
 LinkTo Semanlink
 User Driven Modelling
 
 My current research is on a technique of 'User Driven Modelling/Programming'. My intention is to enable non-programmers to create software from a user interface that allows them to model a particular problem or scenario.
 
 2006-05-13 About
 
 dowhatimean.net » [juc] François-Paul Servant – Semanlink
 
 Tags:
 
 LinkTo Semanlink
 Richard Cyganiak
 
 > Unlike most tagging systems, Semanlink lets you arrange tags into a concept hierarchy > > It’s a del.icio.us on steroids. The UI is not yet quite streamlined enough for my taste, but it looks usable. It’s technologically simple – Jena memory model, file-based persistence – so it should be hackable. Quite cool.
 
 2006-05-13 About
 
 Semanlink on del.icio.us
 
 Tags:
 
 LinkTo Semanlink
 
 2006-05-13 About
 
 Nouveautés sur le site hyperSOLutions (1998)
 
 Tags:
 
 About Semanlink
 hyperSOLutions
 
 2010-05-17 About
 
 Facebook | Find your path in the Labyrinth of Information!
 
 Tags:
 
 About Semanlink
 Dimitris
 Facebook
 
 Facebook group created by Dimitris
 
 2008-07-14 About
 
 NLP 4 Semanlink
 Semanlink Tag Finder
 
 raphaelsty/ckb: Contextual knowledge bases
 
 Tags:
 
 CKB
 GitHub project
 Raphaël Sourty
 Semanlink Tag Finder
 
 Une implémentation de [BLP](tag:blp) [[2010.03496] Inductive Entity Representations from Text via Link Prediction](doc:2020/11/2010_03496_inductive_entity_r)
 
 2020-11-09 About
 
 FP Servant sur Twitter : "constructing a personal knowledge graph as a support for learning (and a metaphor of the learning experience)..."
 
 Tags:
 
 fps' tweet
 NLP 4 Semanlink
 Personal Knowledge Graph
 Semanlink related
 
 > constructing a personal knowledge graph as a support for learning (and a metaphor of the learning experience). From googling, browsing wikipedia/KBs, discovering new words and concepts to organizing all of this into your own concept graph = acquiring knowledge. Semanlink: my digital twin?
 
 2020-12-03 About
 
 [1905.10070] Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification
 
 Tags:
 
 Arxiv Doc
 Classification: label correlation
 Extreme Multi-label Classification
 Good
 Multi-label Text classification
 NLP 4 Semanlink
 
 > This paper is motivated to better explore the semantic **relationship between each document and extreme labels by taking advantage of both document content and label correlation**. Our objective is to establish an explicit **label-aware representation for each document**. > LAHA consists of three parts. > 1. The first part adopts a multi-label self-attention mechanism **to detect the contribution of each word to labels**. > 2. The second part exploits the label structure and document content **to determine the semantic connection between words and labels in a same latent space**. > 3. An adaptive fusion strategy is designed in the third part to obtain the final label-aware document representation [Github](https://github.com/HX-idiot/Hybrid_Attention_XML) // TODO compare with [this](doc:2020/08/2003_11644_multi_label_text_c)
 
 2019-06-22 About
 
 ML-knn: A lazy learning approach to multi-label learning (2007)
 
 Tags:
 
 Frequently cited paper
 k-nearest neighbors
 KNN in Multi-label classification
 Multi-label classification
 NLP 4 Semanlink
 
 a lazy learning approach derived from the traditional [k-nearest neighbors algorithm](tag:k_nearest_neighbors_algorithm) > for each unseen instance, its K nearest neighbors in the training set are firstly identified. After that, based on statistical information gained from the label sets of these neighboring instances, i.e. the number of neighboring instances belonging to each possible class, [Maximum a posteriori (MAP)](tag:maximum_a_posteriori_estimation) principle is utilized to determine the label set for the unseen instance. Implemented in [scikit-multilearn](http://scikit.ml/api/skmultilearn.adapt.mlknn.html), in [java](https://github.com/lefman/mulan-extended/blob/master/mulan/src/mulan/classifier/lazy/MLkNN.java) > the first lazy approach proposed specifically for multi-label classification. This is also a binary relevance approach which considers each label independently as a binary classification problem. Instead of a standard k-NN method, however, MLkNN uses the maximum a-posteriori (MAP) (Kelleher et al., 2015) approach combined with k-NN. [src](https://pdfs.semanticscholar.org/af9b/33da37d290c063cd826ab5923d96892a9767.pdf)
 
 2018-03-18 About
 
 Semanlink: archives
 
 Proverbes (site hyperSOLutions)
 
 Tags:
 
 hyperSOLutions
 Meta Content Framework
 Semanlink: archives
 
 Utilisation de Semanlink sur le site hyperSOLutions (datée 1998)
 
 2007-11-13 About
 
 Semanlink2
 NLP 4 Semanlink
 Semanlink dev
 
 Hosting a Maven repository on github - Stack Overflow
 
 Tags:
 
 GitHub
 Maven
 Semanlink dev
 Stack Overflow
 
 2013-09-13 About
 
 International standard date and time notation
 
 Tags:
 
 Dev
 Semanlink dev
 
 A summary of the international standard date and time notation
 
 2006-08-05 About
 
 SL GUI
 
 Apple - Site Map (example of website with good hierarchy)
 
 Tags:
 
 http://www.semanlink.net/tag/semanlink_todo
 SL GUI
 
 2008-01-25 About
 
 Old semanlink schema in a github project!
 
 Tags:
 
 GitHub project
 Semanlink
 
 2013-09-13 About
 
 Semanlink : Find your Path in the Labyrinth of Information - Dimitris' site
 
 Tags:
 
 Dimitris
 Semanlink
 
 The aim of this site is the diffusion of usage of Semanlink in Greece and on all over the world.
 
 2008-07-08 About
 
 Redfoot: Hypercoding System
 
 Tags:
 
 RDF Application
 
 Redfoot is a hypercoding system which is being used to create a webized operating system and is also being used to create applications. It is built around the notion of an RDF Graph for persistence rather than a File Tree . It provides standard web mechanisms to transport information across different machines and programmatically specifies the tasks for bundling and installing new software features across networked machines. The functions of Redfoot are analogous to that of an operating system kernel that manages resources across the web.
 
 2006-11-14 About
 
 CONFOTO - RDF Data Cart
 
 Tags:
 
 RDF Application
 
 CONFOTO is an online service which facilitates browsing, annotating and re-purposing of photo, conference, and people descriptions.
 
 2005-11-16 About
 - RDF browser
 - RDF bus
 
 Richard Cyganiak: Sigma EE – Reaping low-hanging fruits in RDF-based data integration – I-SEMANTICS
 
 Tags:
 
 RDF bus
 Richard Cyganiak
 sig.ma
 
 Richard Cyganiak had a brilliant talk about how corporate data integration can benefit from RDF-Solutions, because a RDF based data concept can be developed step-by-step in contradiction to a “conservative corporate data integration” which always goes with a general redesign of the whole data-structure of a company. Richard calls this “pay as you go” – and I think this is what the industry looks for.” (from http://blog.semantic-web.at/2010/09/06/the-review-in-a-car/)
 
 2010-07-01 About
 
 TechnicaLee Speaking: Semantic Web Technologies in the Enterprise
 
 Tags:
 
 Lee Feigenbaum
 RDF bus
 Semantic Enterprise
 
 While we support the broad vision of a Semantic World Wide Web, we feel that there are great benefits to be derived from adapting semantic technologies for applications within an enterprise. In particular, we believe that RDF has several very appealing properties that position it as a data format of choice to provide a flexible information bus across heterogeneous applications and throughout the infrastructure layers of an application stack. I AGREE COMPLETELY
 
 2006-12-01 About
 
 Berners-Lee - Sem Web Life Sciences - Bio-IT world
 
 Tags:
 
 RDF bus
 Semantic Integration Hub
 Semantic Web : introduction
 Tim Berners-Lee
 
 "Keep your existing systems running, adapt them"
 
 2005-11-23 About
 - RDF Data source
 Huge RDF data source
 Swoogle
 
 D2R Server publishing the DBLP Bibliography as Linked Data (Semantic Web grows 10%) from Chris Bizer
 
 Tags:
 
 Chris Bizer
 RDF Data source
 semantic-web@w3.org
 
 2007-01-09 About
 - RDF data visualization
 
 RelFinder - Visual Data Web
 
 Tags:
 
 RDF data visualization
 
 Interactive Relationship Discovery in RDF Data
 
 2015-03-04 About
 
 'InContext' Visualiser
 
 Tags:
 
 RDF data visualization
 
 2012-05-21 About
 
 Hook up Google Visualization with RDF data - Data-gov Wiki
 
 Tags:
 
 Google Visualization API
 JSON
 RDF data visualization
 
 2010-08-27 About
 
 Large-scale RDF Graph Visualization Tools » AI3:::Adaptive Information
 
 Tags:
 
 Graph visualization
 Information visualization
 RDF data visualization
 RDF Tools
 
 2008-02-15 About
 - RDF dev
 RDF blank nodes
 
 Revisiting Blank Nodes in RDF to Avoid the Semantic Mismatch with SPARQL
 
 Tags:
 
 RDF blank nodes
 SPARQL
 
 2011-01-15 About
 
 RDF graph versioning
 
 Diff/versioning as metadata for dynamic graphs?
 
 Tags:
 
 RDF graph versioning
 
 2010-06-16 About
 
 RDF performance issues
 
 Quad store performance issues
 
 Tags:
 
 RDF performance issues
 SPARQL
 TripleStore
 
 2005-11-16 About
 
 namespace lookup for RDF developers | prefix.cc
 
 Tags:
 
 RDF dev
 RDF Tools
 Richard Cyganiak
 
 2012-04-25 About
 
 ConverterToRdf - W3C Wiki
 
 Tags:
 
 RDF dev
 RDF Tools
 
 List of converters
 
 2011-09-21 About
 
 The case for generating URIs by hashing RDF content
 
 Tags:
 
 Minting URIs
 RDF dev
 
 2011-03-01 About
 
 RAP - Rdf API for PHP
 
 Tags:
 
 PHP
 RDF dev
 
 2011-01-22 About
 
 Easy RDF and SPARQL for LAMP systems - ARC RDF Classes for PHP
 
 Tags:
 
 Benjamin Nowack
 PHP
 RDF dev
 
 2008-02-04 About
 - RDF-driven web sites
 
 Why use eRDF?
 
 Tags:
 
 eRDF
 RDF-driven web sites
 
 2007-07-03 About
 
 eRDF-T with Tonic and Smarty
 
 Tags:
 
 eRDF
 RDF-driven web sites
 
 eRDF templating.
 
 2007-07-02 About
 
 dowhatimean.net » Less code: eRDF templates for RDF-driven web sites
 
 Tags:
 
 eRDF
 RDFa
 RDF-driven web sites
 Richard Cyganiak
 
 Let’s assume you have a web application driven by data from an RDF triple store. You generate HTML pages by querying the triple store and inserting the bits and pieces into an HTML template. Now if you add eRDF or RDFa annotations to the HTML template, in a way that reflects the original RDF data, then by definition the annotations completely specify what data you need to populate the page. And the template itself therefore must be sufficient to extract all the required triples from the store. No coding needed!
 
 2007-05-31 About
 
 TechnicaLee Speaking: Using RDF on the Web: A Survey
 
 Tags:
 
 Lee Feigenbaum
 RDF-driven web sites
 RDF Tools
 Semantic markup in HTML
 
 I want to be able to quickly develop data-driven Web applications that read from and write back to RDF data sources.
 
 2007-01-19 About
 - RDF editor
 
 Home | CEDAR - Center for Expanded Data Annotation and Retrieval
 
 Tags:
 
 RDF editor
 
 un éditeur rdf basé sur des templates
 
 2017-02-10 About
 
 openlink/rdf-editor: The OpenLink RDF Edito... - GitHub
 
 Tags:
 
 OpenLink Software
 RDF editor
 
 The OpenLink RDF Editor enables editing of RDF documents (in TURTLE notation) stored in a variety of HTTP accessible documents. Actual document access requires the target document is served from a system that supports at least one of the following open standards: Linked Data Platform (LDP), WebDAV, SPARQL 1.1 Update, or the SPARQL Graph Protocol.
 
 2016-01-15 About
 
 DriftR Linked Data Browser and Editor (Screencast) - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 RDF browser
 RDF editor
 
 2007-12-31 About
 
 Altova SemanticWorks
 
 Tags:
 
 OWL editor
 RDF editor
 
 RDF/OWL editor from the creators of XMLSpy
 
 2005-10-06 About
 - RDF embeddings
 RDF2VEC
 
 [2009.00318] More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings
 
 Tags:
 
 Arxiv Doc
 Knowledge Graph Completion
 Knowledge Graph Embeddings
 RDF2VEC
 
 > we argue that despite the huge body of work devoted on completing missing information in knowledge graphs, such missing implicit information is actually a signal, not a defect
 
 2020-09-02 About
 
 RDF2vec.org
 
 Tags:
 
 RDF2VEC
 
 2020-09-02 About
 
 RDF2Vec: RDF Graph Embeddings for Data Mining - (2016)
 
 Tags:
 
 RDF2VEC
 
 > In our approach, we adapt neural language models for RDF graph embeddings. Such approaches take advantage of the word order in text documents, explicitly modeling the assumption that closer words in the word sequence are statistically more dependent. In the case of RDF graphs, we consider entities and relations between entities instead of word sequences. Thus, in order to apply such approaches on RDF graph data, we first have to transform the graph data into sequences of entities, which can be considered as sentences. Using those sentences, we can train the same neural language models to represent each entity in the RDF graph as a vector of numerical values in a latent feature space.
 
 2018-01-03 About
 
 RDF2Vec: RDF Graph Embeddings for Data Mining
 
 Tags:
 
 RDF2VEC
 
 2018-01-03 About
 
 Combining semantics and deep learning for intelligent information services
 
 Tags:
 
 NN / Symbolic AI hybridation
 RDF embeddings
 SlideShare
 
 2018-01-03 About
 
 Global RDF Vector Space Embeddings
 
 Tags:
 
 RDF embeddings
 
 2018-01-03 About
 - RDF Fails
 
 How Go + Neo4j Enabled the Financial Times to Deliver at Speed
 
 Tags:
 
 Neo4j
 RDF Fails
 Semantic data
 
 Why the FT team moved away from a failing semantic linked data platform
 
 2016-07-21 About
 - RDF Framework
 Jena
 RDF4J
 Sesame
 
 Getting started with Sesame - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Sesame
 
 2009-02-13 About
 
 openRDF.org, home of Sesame
 
 Tags:
 
 Sesame
 
 2005-11-03 About
 
 Sesame
 - RDF graphs
 Concise Bounded Description
 
 Bounded Descriptions in RDF - n² wiki
 
 Tags:
 
 Concise Bounded Description
 
 2009-02-07 About
 
 CBD - Concise Bounded Description
 
 Tags:
 
 Concise Bounded Description
 W3C Submission
 
 W3C Member Submission 3 June 2005
 
 2008-11-25 About
 
 RDF and Property Graphs
 RDF*
 
 Position Statement: The RDF* and SPARQL* Approach to Annotate Statements in RDF and to Reconcile RDF and Property Graphs | Olaf Hartig
 
 Tags:
 
 Olaf Hartig
 RDF*
 RDF and Property Graphs
 
 2019-03-01 About
 
 W3C Workshop on Web Standardization for Graph Data
 
 Tags:
 
 Graph database
 RDF
 RDF and Property Graphs
 W3C
 Workshop
 
 2019-02-28 About
 
 Two graph data models : RDF and Property Graphs
 
 Tags:
 
 Andy Seaborne
 RDF and Property Graphs
 
 2018-04-08 About
 
 The Pathetic Fallacy of RDF
 
 Tags:
 
 Graph visualization
 RDF graphs
 Semantic Web : UI
 
 Are graphs the right default representation for the Semantic Web? And if not, how might we think about default presentations for the Semantic Web in order to make accessible its promised benefits for knowledge building and sharing?
 
 2006-12-01 About
 
 Delta: an ontology for the distribution of differences between RDF graphs
 
 Tags:
 
 Dan Connolly
 Dev
 RDF graphs
 Tim Berners-Lee
 
 2005-12-16 About
 - RDF in files
 
 Burningbird » Portable Data
 
 Tags:
 
 RDF in files
 Semanlink related
 Shelley Powers
 
 This is the true power of RDF over relational: relational doesn’t work well with isolated, discrete objects, while RDF does. It is a truly portable database. Anyone can drop the data in at their sites without worry about having to create a database, or manage it. As for portability: how easy can you copy files?
 
 2005-10-14 About
 - RDF-in-JSON
 Epimorphics json-rdf
 
 An RDF to JSON converter on Google App Engine | Epimorphics
 
 Tags:
 
 Epimorphics json-rdf
 
 2012-01-11 About
 
 JSON-LD
 RDFj
 Talis RDF/JSON
 
 RDF 1.1 JSON Serialisation (RDF/JSON)
 
 Tags:
 
 Ian Davis
 Talis RDF/JSON
 
 2012-09-02 About
 
 Recommended mimetype for JSON-LD payload? - Google Groups
 
 Tags:
 
 JSON-LD
 Mark Birbeck
 MIME type
 Olivier Grisel
 Talis RDF/JSON
 
 2012-09-02 About
 
 RDF JSON - docs.api (Talis)
 
 Tags:
 
 Talis RDF/JSON
 
 2012-02-20 About
 
 Can JSON and RDF be friends?
 
 Tags:
 
 RDF-in-JSON
 
 2017-01-06 About
 
 Serializing Apache Jena's RDF resources via JAXB into JSON docments in a JAX-RS context.
 
 Tags:
 
 Jena
 jersey/RDF
 RDF-in-JSON
 
 2012-03-19 About
 
 Rdfj
 
 Tags:
 
 backplanejs
 RDF-in-JSON
 RDFj
 
 RDFj is a set of conventions for - constructing JSON objects in such a way that they can easily be interpreted as RDF; - taking RDF and arriving at canonical JSON objects.
 
 2012-02-21 About
 
 Survey - Existing JSON RDF formats
 
 Tags:
 
 Linked Data API
 RDF-in-JSON
 
 2012-02-21 About
 
 JSN3
 
 Tags:
 
 Nathan Rixham
 RDF-in-JSON
 
 2012-02-20 About
 
 JSON+RDF - W3C Wiki
 
 Tags:
 
 RDF-in-JSON
 
 Collects RDF serialisations in JSON.
 
 2012-02-20 About
 
 Danny Ayers - Google+ - I've knocked together a serializer for Jena to the minimal…
 
 Tags:
 
 Danny Ayers
 Jena
 RDF-in-JSON
 
 2012-02-20 About
 
 Misc Thoughts, CONSTRUCT JSON
 
 Tags:
 
 RDF-in-JSON
 SPARQL Construct
 
 2012-02-20 About
 
 W3C Semantic Web Activity News - RDF Working Group meets face-to-face in Amsterdam
 
 Tags:
 
 RDF-in-JSON
 RDF Working Group
 
 2011-04-18 About
 
 RDF JSON Specification - n² wiki
 
 Tags:
 
 RDF-in-JSON
 
 2010-12-06 About
 
 RDF and JSON: A Clash of Model and Syntax « Lost Boy
 
 Tags:
 
 Leigh Dodds
 RDF-in-JSON
 
 2010-12-06 About
 
 From JSON to RDF in Six Easy Steps with JRON
 
 Tags:
 
 RDF
 RDF-in-JSON
 
 2010-06-04 About
 
 XTech 2007: without the X - the return of {{Textual}} markup
 
 Tags:
 
 David Beckett
 JSON
 RDF
 RDF-in-JSON
 Turtle
 XTech 2007
 
 This paper discusses textual formats as a trend using a case study of the Turtle RDF Syntax developed by the author and using developing a new JSON textual format for RDF as an example of the tradeoffs that need to be considered.
 
 2007-05-18 About
 - RDFizers
 
 SIMILE | RDFizers
 
 Tags:
 
 RDFizers
 SIMILE
 
 RDFizers are tools that allow to transform existing data into an RDF representation.
 
 2006-03-31 About
 - RDF Net API
 
 RDF Net API
 
 Tags:
 
 Andy Seaborne
 Joseki
 RDF Net API
 
 A simple network interface to remote RDF models. There are two sets of functionality: a basic access mechanism that provides query capability to a collection of RDF statements, and an update mechanism where, subject to security constraints (not discussed here), changes to the RDF model can be made.
 
 2008-01-09 About
 
 Another RDF Syntax! (URI-embedded RDF)
 
 Tags:
 
 Danny Ayers
 Identifying triples
 RDF Net API
 
 Let a URI constructed like this: URIbase/ars?s=encodedURIs&p=encodedURIp&o=encodedURIo identify the statement: URIs URIp URIo
 
 2007-12-31 About
 - RDF Next Steps
 
 W3C Workshop — RDF Next Steps: Workshop Report
 
 Tags:
 
 RDF Next Steps
 
 2010-08-20 About
 - RDF Parser
 Javascript RDF Parser
 
 ARC Embedded RDF (eRDF) Parser for PHP
 
 Tags:
 
 Microformats
 RDFa
 RDF Parser
 Semantic markup in HTML
 
 While searching for a suitable output format for a new RDF framework, I've been looking at the various semantic hypertext approaches, namely microformats, Structured Blogging, RDFa, and Embedded RDF (eRDF). Each one has its pros and cons...
 
 2006-05-29 About
 - RDF performance issues
 - RDF repository
 
 Ping the Semantic Web.com
 
 Tags:
 
 RDF repository
 
 Share your RDF Data with the World! PingtheSemanticWeb.com is a repository for RDF documents. You can notify this service that you created/updated a RDF document on your web site.
 
 2007-04-20 About
 - RDF Schema
 RDF Schema inferencing
 
 ISWC 2008: Some Questions - Inference: Is it always forward chaining?
 
 Tags:
 
 Entailment
 Forward chaining
 Orri Erling
 RDF Schema inferencing
 
 Once the working set is no longer in memory, response times jump disproportionately. Also, if the data changes or is retracted or is unreliable, one can end up doing a lot of extra work with materialization. Consider the effect of one malicious sameAs statement. This can lead to a lot of effects that are hard to retract. On the other hand, if running in memory with static data..., the queries run some 20% faster if entailment subclasses and sub-properties are materialized rather than done at run time.
 
 2009-01-03 About
 
 http://www.openrdf.org
 
 Tags:
 
 RDF Schema inferencing
 RDF Schema querying
 TripleStore
 
 Sesame is an open source RDF database with support for RDF Schema inferencing and querying.
 
 2005-04-26 About
 
 RDF Schema querying
 
 http://www.openrdf.org
 
 Tags:
 
 RDF Schema inferencing
 RDF Schema querying
 TripleStore
 
 Sesame is an open source RDF database with support for RDF Schema inferencing and querying.
 
 2005-04-26 About
 
 ldodds/dowl · GitHub
 
 Tags:
 
 Leigh Dodds
 OWL tool
 RDF-OWL documentation tool
 RDF Schema
 
 A simple command-line tool for generating HTML documentation from RDFS/OWL schemas
 
 2012-09-02 About
 
 Horst, Herman J. ter: Completeness, decidability and complexity of entailment for RDF Schema and a semantic extension involving the OWL vocabulary
 
 Tags:
 
 Computational complexity
 Entailment
 OWL
 RDF Schema
 
 We prove that entailment for RDFS (RDF Schema) is decidable, NP-complete, and in P if the target graph does not contain blank nodes.We show that the standard set of entailment rules for RDFS is incomplete and that this can be corrected by allowing blank nodes in predicate position. We define semantic extensions of RDFS that involve datatypes and a subset of the OWL vocabulary that includes the property-related vocabulary (e.g. Functional- Property), the comparisons (e.g. sameAs and differentFrom) and the value restrictions (e.g. allValuesFrom). These semantic extensions are in line with the 'if-semantics' of RDFS and weaker than the 'iff-semantics' of D-entailment and OWL (DL or Full). For these semantic extensions we present entailment rules, prove completeness results, prove that consistency is in P and that, just as for RDFS, entailment is NP-complete, and in P if the target graph does not contain blank nodes. There are no restrictions on use to obtain decidability: classes can be used as instances.
 
 2007-02-06 About
 
 Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
 
 Tags:
 
 RDF
 RDF Schema
 TripleStore
 
 Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
 
 2005-10-28 About
 - RDF Service
 
 Ping the Semantic Web.com - Share your RDF data with the World!
 
 Tags:
 
 Frederick Giasson
 Linked Data
 RDF Service
 
 2007-04-25 About
 - RDF Template
 
 RDF Template from Stéphane Campinas on 2014-05-10 (semantic-web@w3.org from May 2014)
 
 Tags:
 
 RDF Template
 
 2014-05-17 About
 
 Callimachus - Data-driven applications made easy
 
 Tags:
 
 http://www.semanlink.net/tag/semanlink2_related
 Linked Data
 Linked Data: application
 RDF Template
 
 Build Linked Data Applications ... directly in your Web Browser
 
 2014-05-17 About
 - RDF Tools
 Jena
 RDF data visualization
 RDF editor
 RDFLib
 
 RDFLib/rdflib: a Python library for working with RDF
 
 Tags:
 
 GitHub project
 RDFLib
 
 [doc](https://rdflib.readthedocs.io/en/stable/)
 
 2020-04-09 About
 
 RDFa 1.1, microdata, and turtle-in-HTML now in the core distribution of RDFLib | Ivan’s private site
 
 Tags:
 
 Microdata
 RDFa 1.1
 RDFLib
 Turtle in HTML
 
 2013-09-06 About
 
 RDF Parser
 RDF Validator
 
 RDF Distiller
 
 Tags:
 
 RDF Validator
 
 2014-07-21 About
 
 Online N3 Validator
 
 Tags:
 
 N3
 RDF Validator
 SW online tools
 
 2009-04-01 About
 
 W3C RDF Validation Service
 
 Tags:
 
 RDF Validator
 SW online tools
 W3C
 
 2007-01-19 About
 
 Redland
 
 Redland RDF Application Framework - Ruby Interface
 
 Tags:
 
 Redland
 Ruby
 
 2006-03-27 About
 
 VIVO | connect - share - discover
 
 Tags:
 
 RDF Tools
 
 2016-11-08 About
 
 RDF vocabularies
 
 Tags:
 
 Online tool
 Publishing RDF Vocabularies
 RDF Tools
 
 This site uses powerful community-driven voting-based approaches, such as the ones used on StackOverflow or Hacker News, to allow you to discuss about an ontology and write triple definitions directly in the comments you're making.... So in essence this is very similar to opening your text editor, and writing some Turtle syntax down. The cool part is that it happens online, so other people can immediately comment and validate what you wrote.
 
 2013-03-18 About
 
 RDF Translator
 
 Tags:
 
 Converter
 RDF Tools
 
 RDF Translator is a multi-format conversion tool for structured markup. It provides translations between data formats ranging from RDF/XML to RDFa or Microdata. The service allows for conversions triggered either by URI or by direct text input. Furthermore it comes with a straightforward REST API for developers.
 
 2012-08-27 About
 
 dipLODocus[RDF]
 
 Tags:
 
 Philippe Cudré-Mauroux
 RDF
 RDF Tools
 
 dipLODocus[RDF] is a new system for RDF data processing supporting both simple transactional queries and complex analytics efficiently. dipLODocus[RDF] is based on a novel hybrid storage model considering RDF data both from a graph perspective (by storing RDF subgraphs or RDF molecules) and from a "vertical" analytics perspective (by storing compact lists of literal values for a given attribute).
 
 2012-05-31 About
 
 namespace lookup for RDF developers | prefix.cc
 
 Tags:
 
 RDF dev
 RDF Tools
 Richard Cyganiak
 
 2012-04-25 About
 
 http://code.google.com/p/rforms/
 
 Tags:
 
 RDF Tools
 
 RForms, short for RDF Forms, is a javascript library that provides a way to edit and present RDF in form like interfaces.
 
 2012-03-01 About
 
 ConverterToRdf - W3C Wiki
 
 Tags:
 
 RDF dev
 RDF Tools
 
 List of converters
 
 2011-09-21 About
 
 RDF Extension for Google Refine
 
 Tags:
 
 DERI
 Google Refine
 RDF Tools
 
 2011-01-18 About
 
 RAP - Rdf API for PHP V0.9.6 - Home
 
 Tags:
 
 PHP
 RDF
 RDF Tools
 
 2010-04-01 About
 
 Anything to Triples
 
 Tags:
 
 Converting data into RDF
 RDF Tools
 
 2010-03-11 About
 
 Large-scale RDF Graph Visualization Tools » AI3:::Adaptive Information
 
 Tags:
 
 Graph visualization
 Information visualization
 RDF data visualization
 RDF Tools
 
 2008-02-15 About
 
 Vapour, a web-based validator tool to check best practices for publishing RDF vocabularies
 
 Tags:
 
 Publishing RDF Vocabularies
 RDF Tools
 Validator
 
 2007-11-08 About
 
 TechnicaLee Speaking: Using RDF on the Web: A Survey
 
 Tags:
 
 Lee Feigenbaum
 RDF-driven web sites
 RDF Tools
 Semantic markup in HTML
 
 I want to be able to quickly develop data-driven Web applications that read from and write back to RDF data sources.
 
 2007-01-19 About
 - RDF Vocabularies
 foaf
 MOAT
 Publishing RDF Vocabularies
 
 RDF vocabularies
 
 Tags:
 
 Online tool
 Publishing RDF Vocabularies
 RDF Tools
 
 This site uses powerful community-driven voting-based approaches, such as the ones used on StackOverflow or Hacker News, to allow you to discuss about an ontology and write triple definitions directly in the comments you're making.... So in essence this is very similar to opening your text editor, and writing some Turtle syntax down. The cool part is that it happens online, so other people can immediately comment and validate what you wrote.
 
 2013-03-18 About
 
 Best Practice Recipes for Publishing RDF Vocabularies
 
 Tags:
 
 Publishing RDF Vocabularies
 W3C Note
 
 This document describes best practice recipes for publishing vocabularies or ontologies on the Web (in RDF Schema or OWL).
 
 2008-09-01 About
 
 Vapour, a web-based validator tool to check best practices for publishing RDF vocabularies
 
 Tags:
 
 Publishing RDF Vocabularies
 RDF Tools
 Validator
 
 2007-11-08 About
 
 Best Practice Recipes for Publishing RDF Vocabularies
 
 Tags:
 
 Howto
 httpRange-14 (solution)
 Linked Data
 Publishing RDF Vocabularies
 W3C Working Draft
 
 This document describes best practice recipes for publishing an RDFS or OWL vocabulary or ontology on the Web. The features of each recipe are clearly described, so that vocabulary or ontology creators may choose the recipe best suited to the needs of their particular situations. Each recipe contains an example configuration for use with an Apache HTTP server, although the principles involved may be adapted to other environments. The recipes are all designed to be consistent with the architecture of the Web as currently specified.
 
 2006-03-14 About
 
 RDF Schema
 SIOC
 SKOS
 Semantics of skos:Concept
 
 [Linking-open-data] Fw: linking geonames concepts to wikipedia and other concept
 
 Tags:
 
 Bernard Vatant
 dbpedia
 Linked Data
 Richard Cyganiak
 Semantics of skos:Concept
 
 2008-05-15 About
 
 skos:Concept and "real world things"
 
 Tags:
 
 fps' post
 Semantics of skos:Concept
 URI Synonymity
 
 2008-05-15 About
 
 Using tags for POWDER content labels
 
 Tags:
 
 POWDER
 Semantics of skos:Concept
 Semantic tagging
 
 2008-05-14 About
 
 Topic: Concept Semantics -- Patterns for Working With SKOS and OWL
 
 Tags:
 
 Semantics of skos:Concept
 SKOS/OWL
 
 2008-05-12 About
 
 SkosDesign/ConceptSemantics - W3C Semantic Web Deployment Wiki
 
 Tags:
 
 Semantics of skos:Concept
 
 So, for a resource of type skos:Concept, any properties of that resource (such as creator, date of modification, source etc.) should be interpreted as properties of a concept, and not as properties of some 'real world thing' that that resource may be a conceptualisation of
 
 2008-05-12 About
 
 ISSUE-54 - SWD
 
 Tags:
 
 Semantics of skos:Concept
 
 semantics of skos:Concept?
 
 2008-05-12 About
 
 SKOS/OWL
 
 SKOS2OWL: Online tool for deriving OWL ontologies from SKOS categorization schemas
 
 Tags:
 
 Martin Hepp
 SKOS/OWL
 
 2013-02-08 About
 
 SKOS in OWL 2 - SWIGroup Wiki
 
 Tags:
 
 SKOS/OWL
 
 2013-02-07 About
 
 SKOS Now Interoperates with OWL 2 | AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 OWL 2
 OWL DL
 SKOS/OWL
 
 2013-02-07 About
 
 Topic: Concept Semantics -- Patterns for Working With SKOS and OWL
 
 Tags:
 
 Semantics of skos:Concept
 SKOS/OWL
 
 2008-05-12 About
 
 SKOS editor
 PoolParty
 
 Semantic Web Company
 
 Tags:
 
 PoolParty
 Semantic web company
 
 2017-10-08 About
 
 Introducing a Graph-based Semantic Layer in Enterprises |The Semantic Puzzle
 
 Tags:
 
 PoolParty
 Semantic Enterprise
 
 “An Enterprise without a Semantic Layer is like a Country without a Map.
 
 2016-09-11 About
 
 From Taxonomies over Ontologies to Knowledge Graphs |The Semantic Puzzle
 
 Tags:
 
 PoolParty
 
 2014-07-28 About
 
 Vocabulaires dans le web de données : quels outils open-source ? - Sparna Blog
 
 Tags:
 
 SKOS
 SKOS editor
 Tools
 
 2018-01-23 About
 
 tkurz/skosjs · GitHub
 
 Tags:
 
 JavaScript
 Linked Media Framework
 SKOS editor
 
 A javascript-based skos editor
 
 2012-07-10 About
 
 iQvoc
 
 Tags:
 
 SKOS editor
 
 2011-06-09 About
 
 PoolParty » SKOS Thesaurus Management – Semantic Search – Linked Data
 
 Tags:
 
 Semantic Search
 SKOS editor
 Text to semantic data
 
 PoolParty is a thesaurus management system and a SKOS editor for the Semantic Web including text mining and linked data capabilities. The system helps to build and maintain multilingual thesauri providing an easy-to-use interface. PoolParty server provides semantic services to integrate semantic search or recommender systems into systems like CMS, DMS, CRM or Wikis But, it is expensive.
 
 2010-08-31 About
 
 skoseditor
 
 Tags:
 
 Protégé
 SKOS editor
 
 2010-05-07 About
 
 ThManager - metadata editor
 
 Tags:
 
 SKOS editor
 
 Open Source Tool for creating and visualizing SKOS RDF vocabularies
 
 2007-01-09 About
 
 SKOS W3C document
 
 SKOS Use Cases and Requirements
 
 Tags:
 
 SKOS W3C document
 W3C Working Draft
 
 2008-05-12 About
 
 SKOS Reference
 
 Tags:
 
 SKOS W3C document
 W3C Working Draft
 
 2008-05-08 About
 
 SKOS Simple Knowledge Organization System Primer
 
 Tags:
 
 SKOS W3C document
 W3C Working Draft
 
 2008-03-01 About
 
 SKOS Core Vocabulary Specification
 
 Tags:
 
 Deprecated
 SKOS W3C document
 W3C
 
 2006-12-23 About
 
 SKOS Core Guide
 
 Tags:
 
 Deprecated
 SKOS W3C document
 W3C Working Draft
 
 2005-11-04 About
 
 Vocabulaires dans le web de données : quels outils open-source ? - Sparna Blog
 
 Tags:
 
 SKOS
 SKOS editor
 Tools
 
 2018-01-23 About
 
 Skosmos
 
 Tags:
 
 SKOS
 
 2015-03-02 About
 
 nltk - hierarchical classification + topic model training data for internet articles and social media - Stack Overflow
 
 Tags:
 
 SKOS
 Stack Overflow
 Text Classification
 Topic Modeling
 
 2014-04-23 About
 
 Re: SKOS for schema.org proposal for discussion from Guha on 2013-10-03 (public-vocabs@w3.org from October 2013)
 
 Tags:
 
 Guha
 public-vocabs@w3.org
 schema.org
 SKOS
 
 > Schema.org encourages the use of multiple vocabularies
 
 2013-10-05 About
 
 WebSchemas/SKOS - W3C Wiki
 
 Tags:
 
 schema.org
 SKOS
 
 2013-09-22 About
 
 Thesaurus-augmented Search with Jena Text | ZBW Labs
 
 Tags:
 
 Jena
 Jena Fuseki
 Lucene
 Semanlink related
 SKOS
 Text Search
 Thesaurus
 
 2013-08-12 About
 
 Re: Should we adopt SKOS? from Mike Bergman on 2013-01-11 (public-vocabs@w3.org from January 2013)
 
 Tags:
 
 Mike Bergman
 public-vocabs@w3.org
 schema.org
 SKOS
 
 As for SKOS, I think it is generally orthogonal to a schema.org specification. Like any vocabulary on the Web, map to the concepts that make sense for you. If "about" with namespace recognition were added to schema.org, there would be no further questions about what to do with SKOS or any other Web vocabulary. schema.org != semantic web
 
 2013-07-06 About
 
 Using SKOS vocabularies for improving Web Search
 
 Tags:
 
 Bernhard Haslhofer
 SKOS
 Web search
 WWW 2013
 
 2013-05-30 About
 
 Re: Using DBpedia resources as skos:Concepts? from François-Paul Servant on 2012-11-12 (public-esw-thes@w3.org from November 2012)
 
 Tags:
 
 fps' post
 SKOS
 
 2012-11-12 About
 
 Tools for exporting SKOS to human readable form (HTML) from Peter Krantz on 2012-10-24 (public-esw-thes@w3.org from October 2012)
 
 Tags:
 
 SKOS
 Tools
 
 2012-10-25 About
 
 visualization of skos thesauri (public-esw-thes@w3.org from July 2012)
 
 Tags:
 
 Graph visualization
 SKOS
 
 2012-08-06 About
 
 lucene-skos - A SKOS analyzer module for Apache Lucene and Solr - Google Project Hosting
 
 Tags:
 
 Lucene
 SKOS
 
 2012-05-04 About
 
 Mathematics Subject Classification MSC2010
 
 Tags:
 
 Mathématiques
 SKOS
 
 The Mathematics Subject Classification (MSC) is being converted into a SKOS form incorporating much other related material.
 
 2012-02-23 About
 
 WordPress › PoolParty Thesaurus « WordPress Plugins
 
 Tags:
 
 SKOS
 Thesaurus
 WordPress
 
 2011-12-27 About
 
 Using DBpedia to generate SKOS thesauri « About the social semantic web
 
 Tags:
 
 dbpedia
 SKOS
 
 2011-12-18 About
 
 Geological Survey Austria launches thesaurus project |The Semantic Puzzle
 
 Tags:
 
 Géologie
 SKOS
 Thesaurus
 
 2011-10-18 About
 
 RDF export/import should be W3C standard SKOS - here is the patch | drupal.org
 
 Tags:
 
 Drupal/RDF
 SKOS
 
 2011-09-16 About
 
 Improve your taxonomy management using the W3C SKOS standard
 
 Tags:
 
 Bob DuCharme
 IBM developerWorks
 SKOS
 
 2011-05-12 About
 
 Quality Criteria for SKOS Vocabularies - GitHub
 
 Tags:
 
 SKOS
 
 2011-04-12 About
 
 The Semantic Puzzle | Transforming spreadsheets into SKOS with Google Refine
 
 Tags:
 
 Google Refine
 SKOS
 Spreadsheets
 
 2011-02-21 About
 
 GraphViz and SKOS...
 
 Tags:
 
 Graph visualization
 SKOS
 
 2011-02-16 About
 
 Subject classification with DITA and SKOS
 
 Tags:
 
 DITA
 IBM developerWorks
 SKOS
 
 2011-02-15 About
 
 What SKOS-XL adds to SKOS - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SKOS
 
 2011-02-08 About
 
 VOYAGES OF THE SEMANTIC ENTERPRISE: How to: convert a spreadsheet to SKOS
 
 Tags:
 
 SKOS
 Spreadsheets
 TopQuadrant
 
 2011-01-09 About
 
 Using DBpedia resources as skos:Concepts?
 
 Tags:
 
 SKOS
 
 Now I'm asking, what's the harm in identifying both the foaf:Person and the implicit skos:Concept with the same URI, e.g., http://dbpedia.org/resource/Michelle_Obama?
 
 2010-12-27 About
 
 Describe a topic of a concept - Semantic Overflow
 
 Tags:
 
 Leigh Dodds
 SKOS
 
 2010-12-22 About
 
 The topic topic
 
 Tags:
 
 Dan Brickley
 SKOS
 
 2010-12-22 About
 
 SPARQL for SKOS integrity constraints
 
 Tags:
 
 Constraints in the SW
 Pellet
 SKOS
 SPARQL
 TopBraid/SPIN
 
 2010-12-16 About
 
 Poolparty Demozone
 
 Tags:
 
 Demo
 SKOS
 
 2010-08-31 About
 
 The Semantic Puzzle | Why SKOS thesauri matter – the next generation of semantic technologies
 
 Tags:
 
 SKOS
 
 2010-08-31 About
 
 Schools Online Thesaurus
 
 Tags:
 
 Education
 IMS VDEX
 SKOS
 Thesaurus
 
 The Schools Online Thesaurus (ScOT) provides a controlled vocabulary of terms used in Australian and New Zealand schools. Schools Online Thesaurus web service (ScOTwS) allows systems to get ScOT terms by ID, name or by other parameters. Data is available in SKOS RDF and VDEX xml
 
 2010-07-26 About
 
 The Semantic Puzzle | Linking Open Data to Thesaurus Management
 
 Tags:
 
 Linked Data
 SKOS
 Thesaurus
 
 PoolParty service, a SKOS-based thesaurus management tool with linked data capabilities.
 
 2010-03-07 About
 
 SKOS + DC + Linked Data = Semantic Tagging? - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Linked Data
 Semanlink related
 Semantic tagging
 SKOS
 
 2009-08-27 About
 
 SKOS implementation: Rameau subjects as linked data
 
 Tags:
 
 BNF
 Linked Data
 SKOS
 
 Announce: release an *experimental* service [1] that provides the RAMEAU subject headings as open linked data. Rameau [2] is the main subject vocabulary used at the French national library (BnF) and many other French institutions. This site, a result of the TELplus project, and a collaboration between the Vrije Universiteit Amsterdam and BnF, aims at encouraging experimentation with Rameau on the web of da
 
 2009-04-28 About
 
 Semantic Technologies for Archaeological Resources
 
 Tags:
 
 Archéologie
 Semantic Web
 SKOS
 
 2009-04-20 About
 
 Un moteur de transformation RDF basé sur SPARQL (2) « Leçons de Choses
 
 Tags:
 
 Bernard Vatant
 SKOS
 SPARQL Construct
 
 2008-08-27 About
 
 SKOS and SWOOP: how - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SKOS
 
 2008-08-12 About
 
 Networked Knowledge Organization Systems and Services | The 7th European Networked Knowledge Organization Systems (NKOS) Workshop
 
 Tags:
 
 NKOS
 SKOS
 Workshop
 
 Please email proposals (approx. 500 words including aims, methods, main findings) by June 20th to Marianne Lykke Nielsen (mln@db.dk). Advance indication that you intend to submit a presentation would be helpful. Proposals will be peer-reviewed by the program committee and notification of acceptance will be given by July 4th. The early registration deadline for the conference and the workshop is July 31st.
 
 2008-05-06 About
 
 Alistair Miles » SKOS and RDFa in e-Learning
 
 Tags:
 
 Alistair Miles
 Online Learning
 RDFa
 SKOS
 
 Both SKOS and RDFa have interesting consequences for e-learning technology, and especially for leveraging the Web as a platform for delivering learning.
 
 2007-11-20 About
 
 SCOT:Let’s Share Tags! » About SCOT
 
 Tags:
 
 SKOS
 Social Networks
 Tagging
 
 The SCOT(Social Semantic Cloud Of Tags) ontology is to semantically represent the structure and semantics of a collection of tags and to represent social networks among users based on the tags.
 
 2007-08-24 About
 
 SKOS/Semantics - W3C Semantic Web Deployment Wiki
 
 Tags:
 
 SKOS
 W3C
 
 2007-07-18 About
 
 SKOS Extensions [RDF/OWL Description]
 
 Tags:
 
 OWL
 RDF
 SKOS
 
 An RDF vocabulary containing extensions to SKOS Core useful for specialised applications.
 
 2007-07-18 About
 
 SKOS Mapping [RDF/OWL Description]
 
 Tags:
 
 SKOS
 
 An RDF vocabulary for describing mappings between concept schemes.
 
 2007-07-18 About
 
 An OWL model for managing ontologies in the agricultural domain
 
 Tags:
 
 FAO
 Ontologies
 OWL
 SKOS
 Thesaurus
 
 From AGROVOC to the Agricultural Ontology Service / Concept Server
 
 2007-04-02 About
 
 SKOS core (rdf file)
 
 Tags:
 
 SKOS
 
 2007-01-19 About
 
 Simple Knowledge Organisation Systems (SKOS) - home page
 
 Tags:
 
 SKOS
 W3C
 
 2007-01-18 About
 
 RE: [VM] content-dependent redirects in apache ... help! from Miles, AJ $Alistair$ on 2005-10-03 (public-esw-thes@w3.org from October 2005)
 
 Tags:
 
 Apache web server
 httpRange-14
 SKOS
 
 2007-01-03 About
 
 HTTP behaviour for SKOS Concepts from Miles, AJ $Alistair$ on 2005-06-21 (public-esw-thes@w3.org from June 2005)
 
 Tags:
 
 httpRange-14 (solution)
 SKOS
 
 2007-01-03 About
 
 SkosDev - ESW Wiki
 
 Tags:
 
 Semanlink related
 SKOS
 W3C
 
 Best practices for naming resources of type skos:Concept with HTTP URIs
 
 2006-07-06 About
 
 DEMO of the STITCH project ("Semantic Interoperability To access Cultural Heritage")
 
 Tags:
 
 RDF browser
 Rijksmuseum
 SKOS
 
 The STITCH DEMO webserver demonstrates the added value of semantical integration of multiple collections. The collections that are linked by the prototype RDF Multi-Faceted-Search browser are the Rijksmuseum Masterpieces Collection (ARIA) and the Medieval Illuminated Manuscripts at the National Library of the Netherlands SKOS is used to enable mixing/merging of separate vocabularies: Cultural-heritage collections are typically indexed with metadata derived from a range of different vocabularies, such as AAT, Iconclass and in-house standards. This presents a problem when one wants to use multiple collections in an interoperable way. In general, it is unrealistic to assume unification of vocabularies. Vocabularies have been developed in many sub-domains, each with their own emphasis and scope. Still, there is significant overlap between the vocabularies used for indexing. The prime research objective of this subproject is to develop theory, methods and tools for allowing metadata interoperability through semantic links between the vocabularies.
 
 2006-04-07 About
 
 Internet Alchemy Tinky and SKOS
 
 Tags:
 
 SKOS
 
 2005-07-04 About
 
 XML.com: Introducing SKOS
 
 Tags:
 
 SKOS
 
 2005-06-24 About
 
 EBB: ebiquity blog at UMBC » SKOS: Simple Knowledge Organization System
 
 Tags:
 
 SKOS
 
 2005-06-23 About
 
 SKOS Core Guide
 
 Tags:
 
 SKOS
 
 2005-05-15 About
 
 VOAF
 
 Vocabularies of a Friend (VOAF)
 
 Tags:
 
 VOAF
 
 2011-01-25 About
 
 Changeset
 
 Tags:
 
 Ian Davis
 LDP: updates
 RDF Vocabularies
 Talis
 
 This vocabulary defines a set of terms for describing changes to resource descriptions.
 
 2014-09-15 About
 
 The RDF Data Cube Vocabulary
 
 Tags:
 
 RDF Vocabularies
 SDMX-RDF
 
 2014-01-19 About
 
 Semai » Blog Archive » OWL 2 for RDF vocabularies
 
 Tags:
 
 Dave Reynolds
 OWL 2
 RDF Vocabularies
 
 2011-07-17 About
 
 QUDT - Quantities, Units, Dimensions and Data Types in OWL and XML
 
 Tags:
 
 NASA
 Ontologies
 RDF Vocabularies
 TopQuadrant
 
 2011-07-11 About
 
 CSP - A vocabulary to represent Constraint Satisfaction Problems. | DERI Vocabularies
 
 Tags:
 
 Constraint Satisfaction Problem
 Fadi Badra
 fps: paper
 fps ontologies
 OSEMA/DERI-Renault paper
 OSEMA 2011
 RDF Vocabularies
 
 2011-06-29 About
 
 Open Archive Initiative’s aggregation vocabulary « Ivan’s private site
 
 Tags:
 
 RDF Vocabularies
 
 RDF vocabulary to identify an aggregation and to describe its constituents
 
 2008-11-12 About
 - RDF vs XML
 Validation: XML vs RDF
 
 Validation considered harmful
 
 Tags:
 
 Dev
 Validation: XML vs RDF
 Validator
 
 On the Web, you need to be able to process messages from the future.
 
 2006-12-16 About
 
 All XML roads lead to RDF
 
 Tags:
 
 Henry Story
 RDF vs XML
 
 2008-05-08 About
 
 RDF and social networks - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 QOTD
 RDF and social networks
 RDF vs XML
 
 Defining a vocabulary instead of a DTD is the low-hanging fruit... It doesn't reduce the work to do by simplifying it, but by reducing the scope: by forgetting about the data structures.
 
 2008-04-07 About
 
 Elias Torres » From XML to RDF: how semantic web technologies will change the design of ‘omic’ standards
 
 Tags:
 
 RDF vs XML
 
 2005-09-14 About
 
 Danny Ayers, Raw Blog - RSS extensions
 
 Tags:
 
 RDF vs XML
 RSS
 RSS extensions
 
 I know how I’m going to support these multiple extensions in my own code. I’ll have the RDF model internally and map to it (XSLT for now), taking advantage of subclass/subproperty inference for dealing with the semantic differences between the different formats (as Suzan suggests). SPARQL will allow me to query across the diffferent properties out of the box. Best of luck to everyone else.
 
 2005-06-29 About
 
 Might FOAF be a plain XML language?
 
 Tags:
 
 Dev
 foaf
 RDF vs XML
 
 2005-02-10 About
 - Relational Databases and the Semantic Web
 Database to RDF mapping
 R2RML
 RDF Access to Relational Databases
 SQL to RDF mapping
 TripleStore
 Virtuoso
 
 W3C RDB2RDF Working Group
 
 Tags:
 
 Relational Databases and the Semantic Web
 W3C
 
 2010-11-07 About
 
 Relational Databases and the Semantic Web (in Design Issues)
 
 Tags:
 
 Relational Databases and the Semantic Web
 SQL to RDF mapping
 
 2010-11-07 About
 
 A Survey of Current Approaches for Mapping of Relational Databases to RDF
 
 Tags:
 
 Relational Databases and the Semantic Web
 
 2010-07-06 About
 
 L’apport des technologies du Web sémantique à la gestion des données structurées
 
 Tags:
 
 Gautier Poupeau
 Relational Databases and the Semantic Web
 Semantic web: evangelization
 
 2009-04-06 About
 
 W3C RDB2RDF Incubator Group Report
 
 Tags:
 
 Relational Databases and the Semantic Web
 W3C Incubator Group Report
 
 2009-03-03 About
 
 RdfStoreBenchmarking - ESW Wiki
 
 Tags:
 
 Benchmark
 Relational Databases and the Semantic Web
 
 2009-02-16 About
 
 ISWC 2008: The Scalable Knowledge Systems Workshop
 
 Tags:
 
 Benchmark
 Orri Erling
 Relational Databases and the Semantic Web
 
 1. mapping relational to RDF, where possible, is faster than triple storage; and 2. the equivalent relational solution can be some 10x faster than the pure triples representation.
 
 2009-02-16 About
 - SDMX-RDF
 
 The RDF Data Cube Vocabulary
 
 Tags:
 
 RDF Vocabularies
 SDMX-RDF
 
 2014-01-19 About
 
 Expressing Statistical Data in RDF with SDMX-RDF
 
 Tags:
 
 Richard Cyganiak
 SDMX-RDF
 Semantic Statistics
 
 2010-07-16 About
 
 What is SDMX-RDF?
 
 Tags:
 
 Richard Cyganiak
 SDMX-RDF
 Slides
 
 2010-07-16 About
 
 SDMX and RDF: Getting Acquainted « Blog about Stats
 
 Tags:
 
 SDMX-RDF
 
 2010-07-16 About
 - Semantic markup in HTML
 - Semantic Statistics
 SDMX-RDF
 
 RDFizing and Interlinking the EuroStat Data Set Effort - riese
 
 Tags:
 
 Linked Data
 Semantic Statistics
 
 2010-07-16 About
 
 Expressing Statistical Data in RDF with SDMX-RDF
 
 Tags:
 
 Richard Cyganiak
 SDMX-RDF
 Semantic Statistics
 
 2010-07-16 About
 
 ODaF Europe 2010: Semantic Statistics
 
 Tags:
 
 Semantic Statistics
 
 2010-07-16 About
 
 Subject classification and Statistics
 
 Tags:
 
 Dan Brickley
 Semantic Statistics
 Universal Decimal Classification
 
 2010-07-16 About
 - SQL to RDF mapping
 - Time in RDF
 
 It’s Time To Take On Temporal Data Management For Semantic Data - semanticweb.com
 
 Tags:
 
 Time in RDF
 
 2013-09-10 About
 
 Temporal Relations (The Sun BabelFish Blog)
 
 Tags:
 
 Henry Story
 Time in RDF
 
 2012-11-14 About
 
 Internet Alchemy » Representing Time in RDF Part 6
 
 Tags:
 
 Time in RDF
 
 2009-08-27 About
 - TripleStore
 - Turtle
 Turtle in HTML
 
 TurtleHTMLExtractor xref
 
 Tags:
 
 Turtle in HTML
 
 2013-09-06 About
 
 N3inHTML - W3C Wiki
 
 Tags:
 
 Turtle in HTML
 
 2013-09-06 About
 
 Embedding Turtle in HTML documents
 
 Tags:
 
 Turtle in HTML
 
 2013-09-06 About
 
 RDFa 1.1, microdata, and turtle-in-HTML now in the core distribution of RDFLib | Ivan’s private site
 
 Tags:
 
 Microdata
 RDFa 1.1
 RDFLib
 Turtle in HTML
 
 2013-09-06 About
 
 TurtleScript
 
 Tags:
 
 Javascript RDF
 RDFa
 Turtle in HTML
 
 TurtleScript is a project to demonstrate the utility of including the Turtle RDF serialization in HTML files as a form of metadata. It is intended as proposed alternative or supplement to microformats and RDFa.
 
 2013-09-06 About
 
 Lightning-fast RDF in JavaScript | Ruben Verborgh
 
 Tags:
 
 Javascript RDF
 Javascript RDF Parser
 Ruben Verborgh
 Turtle
 
 Writing a spec-compatible Turtle parser has been an interesting journey.
 
 2015-01-31 About
 
 N3.js
 
 Tags:
 
 Javascript RDF
 Ruben Verborgh
 Turtle
 
 "Lightning fast, asynchronous, streaming Turtle for JavaScript"
 
 2013-12-04 About
 
 jquery.rdf.turtle.js - rdfquery - RDF processing in your browser - Google Project Hosting
 
 Tags:
 
 rdfQuery
 Turtle
 
 2012-10-03 About
 
 Turtle - Terse RDF Triple Language
 
 Tags:
 
 David Beckett
 Turtle
 
 2008-04-08 About
 
 RDF Primer — Turtle version
 
 Tags:
 
 RDF
 Turtle
 W3C Working Draft
 
 2008-03-18 About
 
 XTech 2007: without the X - the return of {{Textual}} markup
 
 Tags:
 
 David Beckett
 JSON
 RDF
 RDF-in-JSON
 Turtle
 XTech 2007
 
 This paper discusses textual formats as a trend using a case study of the Turtle RDF Syntax developed by the author and using developing a new JSON textual format for RDF as an example of the tradeoffs that need to be considered.
 
 2007-05-18 About
 - Wikidata/RDF
 
 QAnswer · Accessing your Knowledge via Natural Language
 
 Tags:
 
 Question Answering
 RDF
 
 A Platform to Access RDF Data via Natural Language. Dennis Diefenbach, CEO & CTO [GitHub](https://github.com/QAnswer) [Discussion on LinkedIn](https://www.linkedin.com/feed/?msgControlName=reply_to_sender&msgConversationId=6759814672632938496&msgOverlay=true&trk=false)
 
 2021-01-26 About
 
 Visual RDF
 
 Tags:
 
 Graph visualization
 RDF
 
 2020-11-29 About
 
 NSMNTX - Neo4j RDF & Semantics toolkit
 
 Tags:
 
 Neo4j
 RDF
 
 2020-01-19 About
 
 W3C Workshop on Web Standardization for Graph Data
 
 Tags:
 
 Graph database
 RDF
 RDF and Property Graphs
 W3C
 Workshop
 
 2019-02-28 About
 
 RDF(-DEV), back to the future (was Re: Semantic Web Interest Group now closed) from Dan Brickley on 2018-10-16 (semantic-web@w3.org from October 2018)
 
 Tags:
 
 Dan Brickley
 RDF
 semantic-web@w3.org
 
 2018-10-16 About
 
 GraphChain – A Distributed Database with Explicit Semantics and Chained RDF Graphs
 
 Tags:
 
 Blockchain
 Mirek Sopek
 RDF
 TheWebConf 2018
 
 2018-04-25 About
 
 GraphChain
 
 Tags:
 
 Blockchain
 Mirek Sopek
 RDF
 TheWebConf 2018
 
 2018-04-25 About
 
 [1804.04526] EventKG: A Multilingual Event-Centric Temporal Knowledge Graph
 
 Tags:
 
 Arxiv Doc
 Knowledge Graphs
 RDF
 
 690 thousand contemporary and historical events and over 2.3 million temporal relations
 
 2018-04-15 About
 
 Graph databases and RDF: It's a family affair | ZDNet
 
 Tags:
 
 Graph database
 Neo4j
 RDF
 
 2017-05-23 About
 
 What the Semantic Web can learn from JavaScript
 
 Tags:
 
 JavaScript
 RDF
 
 2017-01-04 About
 
 Deriving an Emergent Relational Schema from RDF Data
 
 Tags:
 
 RDF
 WWW 2015
 
 2015-05-22 About
 
 The Curious Case of RDF Graph Isomorphism - The Datagraph Blog
 
 Tags:
 
 Algorithmes
 Graph
 RDF
 
 2014-12-10 About
 
 Quadrupling your elephants - RDF and the Hadoop ecosystem
 
 Tags:
 
 Hadoop
 RDF
 
 2014-11-19 About
 
 RDF Binary encoding using Thrift.
 
 Tags:
 
 Andy Seaborne
 RDF
 
 2014-06-29 About
 
 GRefine RDF Extension
 
 Tags:
 
 DERI
 Google Refine
 RDF
 
 2014-02-13 About
 
 Reflections on a Year spent developing with RDF and JSON (Software Development on the Cloud Exploration)
 
 Tags:
 
 IBM developerWorks
 JSON
 RDF
 
 2014-02-05 About
 
 RDF Patch – Describing Changes to an RDF Dataset
 
 Tags:
 
 Andy Seaborne
 HTTP PATCH
 LDP: updates
 RDF
 
 RDF Patch is a file format for recording changes made to an RDF dataset. It can be used for replicating changes between multiple copies of the same dataset or as an incremental backups format. The design emphasizes deployment concerns such as scalability and efficient processing.
 
 2013-08-21 About
 
 Priorities for RDF | Jeni's Musings
 
 Tags:
 
 Jeni Tennison
 RDF
 
 2012-08-24 About
 
 Graph Kernels for RDF data | Semantic Web Dog Food
 
 Tags:
 
 Machine Learning + Semantic Web
 RDF
 
 2012-06-24 About
 
 dipLODocus[RDF]
 
 Tags:
 
 Philippe Cudré-Mauroux
 RDF
 RDF Tools
 
 dipLODocus[RDF] is a new system for RDF data processing supporting both simple transactional queries and complex analytics efficiently. dipLODocus[RDF] is based on a novel hybrid storage model considering RDF data both from a graph perspective (by storing RDF subgraphs or RDF molecules) and from a "vertical" analytics perspective (by storing compact lists of literal values for a given attribute).
 
 2012-05-31 About
 
 Visual RDF
 
 Tags:
 
 Graph visualization
 RDF
 SW online tools
 
 2012-05-12 About
 
 NLP2RDF | Converting NLP tool output to RDF
 
 Tags:
 
 LOD2
 NLP
 RDF
 
 2012-02-28 About
 
 Empire: RDF & SPARQL Meet JPA | Semantic Universe
 
 Tags:
 
 JPA
 RDF
 SPARQL
 
 2010-07-06 About
 
 From JSON to RDF in Six Easy Steps with JRON
 
 Tags:
 
 RDF
 RDF-in-JSON
 
 2010-06-04 About
 
 Serialising Java Objects to RDF with Jersey
 
 Tags:
 
 Henry Story
 Java dev
 RDF
 RESTful Web Services
 
 Jersey is the reference implementation of JSR311 (JAX-RS) the Java API for RESTful Web Services. In short JSR311 makes it easy to publish graphs of Java Objects to the web, and implement update and POST semantics - all this using simple java annotations. It makes it easy for Java developers to do the right thing when writing data to the web.
 
 2010-05-12 About
 
 Map and Territory in RDF APIs
 
 Tags:
 
 Dan Connolly
 Map–territory relation
 RDF
 Scala
 
 2010-04-28 About
 
 RAP - Rdf API for PHP V0.9.6 - Home
 
 Tags:
 
 PHP
 RDF
 RDF Tools
 
 2010-04-01 About
 
 RDF meets NoSQL « Decentralyze – Programming the Data Cloud
 
 Tags:
 
 NOSQL
 RDF
 
 2010-03-10 About
 
 Yahoo! adds RDF support to SearchMonkey and BOSS
 
 Tags:
 
 RDF
 SearchMonkey
 Yahoo!
 
 2009-02-13 About
 
 Trice
 
 Tags:
 
 PHP
 RDF
 Web dev framework
 
 Trice is Web development framework that uses RDF technology to increase productivity and flexibility for everyday Web programming.
 
 2008-09-09 About
 
 RESTful Web Services: the book
 
 Tags:
 
 Henry Story
 RDF
 RESTful Web Services
 Semantic Web : introduction
 
 That's RDF for you. It's so simple I am able to explain it to people in bars within a minute. Here is an example, which says that my name is Henry: <http://bblfish.net/people/henry/card#me> <http://xmlns.com/foaf/0.1/name> "Henry Story". Click on the URLs and you will GET their meaning. Since resources can return any number of representations, different user agents can get the representation they prefer.
 
 2008-05-08 About
 
 RDF Primer — Turtle version
 
 Tags:
 
 RDF
 Turtle
 W3C Working Draft
 
 2008-03-18 About
 
 danbri’s foaf stories » Commandline PHP for loading RDF URLs into ARC (and Twinkle for query UI)
 
 Tags:
 
 Dan Brickley
 PHP
 RDF
 
 2008-01-03 About
 
 Definition of "URI References" in RDF (Concepts and Abstract Syntax)
 
 Tags:
 
 http://www.semanlink.net/tag/semanlink_todo
 RDF
 URI Reference
 
 Because of the risk of confusion between RDF URI references that would be equivalent if derefenced, the use of %-escaped characters in RDF URI references is strongly discouraged. J'ai l'impression d'être à l'ouest dans semanlink
 
 2007-11-17 About
 
 Representing Probabilistic Relations in RDF
 
 Tags:
 
 Probabilités
 RDF
 
 2007-09-27 About
 
 SKOS Extensions [RDF/OWL Description]
 
 Tags:
 
 OWL
 RDF
 SKOS
 
 An RDF vocabulary containing extensions to SKOS Core useful for specialised applications.
 
 2007-07-18 About
 
 XTech 2007: without the X - the return of {{Textual}} markup
 
 Tags:
 
 David Beckett
 JSON
 RDF
 RDF-in-JSON
 Turtle
 XTech 2007
 
 This paper discusses textual formats as a trend using a case study of the Turtle RDF Syntax developed by the author and using developing a new JSON textual format for RDF as an example of the tradeoffs that need to be considered.
 
 2007-05-18 About
 
 tagtriples from Phil Dawes
 
 Tags:
 
 RDF
 Semanlink related
 semantic-web@w3.org
 
 'tagtriples' - a experimental format for exchanging and aggregating structured metadata. It's based on RDF ideas, but emphasises simplicity over precision. 2005-03-23
 
 2007-01-09 About
 
 Fresnel - Display Vocabulary for RDF
 
 Tags:
 
 IHM
 RDF
 RDF browser
 
 Presenting Semantic Web content in a human-readable way consists in addressing two issues: specifying what information contained in an RDF graph should be presented and how this information should be presented. We developed Fresnel as a browser-independent vocabulary of core RDF display concepts applicable across different representation paradigms and output formats.
 
 2007-01-02 About
 
 Power I-Tags
 
 Tags:
 
 RDF
 XRI
 
 A general usage pattern that is emerging in the use of XRIs is the pattern of including standardized 'triples' in the XRI to identify a resource.
 
 2006-04-29 About
 
 XTech 2006: Semantics Through the Tag
 
 Tags:
 
 A suivre
 David Beckett
 RDF
 Tagging
 XTech 2006
 
 This paper will discuss how tagging can be separated from the services that provide them, allowing use of tags as separate entities. This separation will use a mapping of tags to and from RDF, showing how the context of tags (who, where, when made them) can be represented and preserved. There are multiple choices for modelling tags in this way which will be discussed along with their benefits and some of the unusual uses of tags will be considered as well as the different way that existing tagging services use tagging differently. The paper will also discuss methods of how to find the meaning of a tag – going from a tag to something a human can understand as a description, which may be evolving – in a decentralized, web friendly way. Without the use of ontologies!
 
 2006-04-24 About
 
 System One - Wikipedia3
 
 Tags:
 
 Huge RDF data source
 RDF
 Wikipedia
 
 Wikipedia³ is a conversion of the English Wikipedia into RDF. It's a monthly updated dataset containing around 47 million triples.
 
 2006-04-24 About
 
 ActiveRDF: object-oriented RDF in Ruby
 
 Tags:
 
 RDF
 Ruby
 Semantic Web and OOP
 
 Abstract: Although most developers are object-oriented, programming RDF is triple-oriented. Bridging this gap, by developing a truly ob ject-oriented API that uses domain terminology, is not straightforward, because of the dynamic and semi-structured nature of RDF and the openworld semantics of RDF Schema. We present ActiveRDF, our object-oriented library for accessing RDF data. ActiveRDF is completely dynamic, offers full manipulation and querying of RDF data, does not rely on a schema and can be used against different data-stores. In addition, the integration with the popular Rails framework enables very easy development of Semantic Web applications.
 
 2006-04-04 About
 
 Dan's Blaggity Blog: JavaScript and RDF - (almost) perfect together
 
 Tags:
 
 JavaScript
 JSON
 RDF
 
 in a very real way, the RDF model of data could be described as interlinked associative arrays. this simplification and reduction to something akin to an essence of RDF was in the back of my mind months later, when I was working on an AJAX application, using JSON as a data interchange format. prior to this, i had never looked too deeply into JavaScript, but the similarities between RDF and JSON were apparent. both are a very general, minimalist means of representing data, with simplicity being a primary virtue. both can be modeled very simply as a sets of connected associative arrays...
 
 2006-02-07 About
 
 The Not-RDF Tax
 
 Tags:
 
 RDF
 
 2005-11-23 About
 
 faqs-for-rdf - Microformats
 
 Tags:
 
 Microformats
 RDF
 
 2005-11-09 About
 
 Web Services Description Language (WSDL) Version 2.0: RDF Mapping
 
 Tags:
 
 RDF
 W3C
 WSDL
 
 The main objective of this specification is to present a standard RDF vocabulary equivalent to WSDL 2, so that all WSDL 2 documents can be transformed into RDF and merged with other Semantic Web data.
 
 2005-11-04 About
 
 Bill de hÓra: MetaGraph: Domain knowledge v RDF
 
 Tags:
 
 Bill de hÓra
 Bioinformatics
 RDF
 
 2005-10-28 About
 
 Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
 
 Tags:
 
 RDF
 RDF Schema
 TripleStore
 
 Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
 
 2005-10-28 About
 
 Stefano's Linotype ~ Data First vs. Structure First
 
 Tags:
 
 Good
 RDF
 Semantic Web
 Software design
 Stefano Mazzocchi
 
 2005-10-12 About
 
 Connecting Social Content Services using FOAF, RDF and REST
 
 Tags:
 
 foaf
 Leigh Dodds
 RDF
 REST
 Social Content Services
 
 2005-09-29 About
 
 RDF-Gravity
 
 Tags:
 
 Graph visualization
 RDF
 
 RDF Gravity is a tool for visualising RDF/OWL Graphs/ ontologies.
 
 2005-09-25 About
 
 SemErgence: Oracle 10g Support for RDF
 
 Tags:
 
 Oracle
 RDF
 
 Oracle 10g Support for RDF
 
 2005-09-23 About
 
 AgentFrank - Main - Wiki - 0xDECAFBAD
 
 Tags:
 
 Internet tool
 RDF
 
 The goal of Agent Frank is to be a personal intelligent intermediary and companion to internet infovores during their daily hunter/gatherer excursions.
 
 2005-06-15 About
 
 Planet RDF
 
 Tags:
 
 RDF
 
 2005-05-20 About
 
 http://www.blogmarks.net/tag/rdf
 
 Tags:
 
 blogmarks
 RDF
 
 2005-04-26 About
 
 sparqling days / iphoto rdf export
 
 Tags:
 
 iphoto
 RDF
 
 2005-04-21 About
 
 Pigsty - a Firefox extension for RDF galleries
 
 Tags:
 
 Firefox
 RDF
 
 2005-04-21 About
 
 RDF Exporter Plugin for iPhoto
 
 Tags:
 
 iphoto
 RDF
 
 2005-04-21 About
 - Relational Databases and the Semantic Web
 - Satori
 - Semantic Blog
 - Semantic browsing
 - Semantic Camp Paris
 - Semantic data
 - Semantic Desktop
 - gnowsis
 PIMO
 
 semantic weltbild 2.0: PhD step2: the research question and how can I answer it (is it possible to write a PhD on gnowsis?)
 
 Tags:
 
 gnowsis
 Leo Sauermann
 Personal-information management
 
 If Personal Information Management is the main use of Personal Computers, why is then not part of the Operating System of the computers? Why does it only handle files and folders, and not Persons, Projects and Topics?
 
 2006-12-23 About
 
 Personal Gnowledge
 
 Tags:
 
 Danny Ayers
 gnowsis
 
 "one particular thing I believe they've got strongly right" (the notion that the individual user of the system will have their own personal ontology, derived from a handful of base terms.) The user creates describing properties on the go. If a new property is needed, it is instantly created. There is no strong domain/range typing, if the user wants to use the property in an "unintended" way, the user is always right to do so.
 
 2006-05-06 About
 
 Semantic World and Cyberspace: gnowsis 0.9.0 release
 
 Tags:
 
 gnowsis
 
 2006-05-06 About
 
 Semantic World and Cyberspace: the heart of gnowsis
 
 Tags:
 
 gnowsis
 Personal ontology
 Semanlink related
 Semantic Desktop
 
 Connecting data bits from here and there to an information space for yourself. ...Personal ontologies, where you express your mental model and link it to data. Not just data: data with meaning to people.
 
 2005-12-21 About
 - Leo Sauermann
 gnowsis
 
 semantic weltbild 2.0: why I love Patrick Sticklers URIQA approach (2004)
 
 Tags:
 
 Converting data into RDF
 Leo Sauermann
 
 Ever tried to convert data into RDF? Extract something from iCalendar or an MP3 file and then use a bit of RDF? Have it all in a graph? Then you may be interestedhow to choose your weapons wise: If you want a fast and easy way for RDF integration, follow Patrick Stickler and his URIQA ideas.
 
 2008-10-29 About
 
 Case Study: KDE 4.0 Semantic Desktop Search and Tagging
 
 Tags:
 
 KDE
 Leo Sauermann
 NEPOMUK
 Semantic Desktop
 Semantic tagging
 SWEO Interest Group
 
 Semantic Web technologies (RDF, RDFS, OWL) are used as a backend metadata architecture in KDE 4.0 to tag, comment, annotate, etc, all files under Linux regardless of their file format, and to initiate corresponding search actions.
 
 2008-06-04 About
 
 Cool URIs for the Semantic Web
 
 Tags:
 
 Hash URIs
 httpRange-14
 httpRange-14 (solution)
 Leo Sauermann
 Richard Cyganiak
 
 303 URIs and hash URIs
 
 2007-04-03 About
 
 semantic weltbild 2.0: PhD step2: the research question and how can I answer it (is it possible to write a PhD on gnowsis?)
 
 Tags:
 
 gnowsis
 Leo Sauermann
 Personal-information management
 
 If Personal Information Management is the main use of Personal Computers, why is then not part of the Operating System of the computers? Why does it only handle files and folders, and not Persons, Projects and Topics?
 
 2006-12-23 About
 
 semantic weltbild 2.0: PhD step1: integrating data into the semantic desktop
 
 Tags:
 
 Leo Sauermann
 
 2006-12-23 About
 - NEPOMUK
 
 Baloo - KDE Community Wiki
 
 Tags:
 
 KDE
 NEPOMUK
 
 2014-02-05 About
 
 Nepomuk 2.0 and the Data Management Service « Trueg's Blog
 
 Tags:
 
 NEPOMUK
 
 2011-06-08 About
 
 Linux.com :: Nepomuk and KDE to introduce the semantic desktop
 
 Tags:
 
 KDE
 NEPOMUK
 
 2008-08-29 About
 
 Case Study: KDE 4.0 Semantic Desktop Search and Tagging
 
 Tags:
 
 KDE
 Leo Sauermann
 NEPOMUK
 Semantic Desktop
 Semantic tagging
 SWEO Interest Group
 
 Semantic Web technologies (RDF, RDFS, OWL) are used as a backend metadata architecture in KDE 4.0 to tag, comment, annotate, etc, all files under Linux regardless of their file format, and to initiate corresponding search actions.
 
 2008-06-04 About
 - Semantic Enterprise
 - fps AND LDOW2008
 - Linking Enterprise Data
 - Semantic Enterprise Architecture
 Enterprise Knowledge Graph
 eccenca
 
 Enterprise Knowledge Graph Solutions | eccenca
 
 Tags:
 
 eccenca
 Enterprise Knowledge Graph
 
 2021-05-19 About
 
 Enterprise Knowledge Graph Platform
 eccenca
 Stardog
 
 Extending NLP - Stardog
 
 Tags:
 
 Stardog
 
 How to extend Stardog’s NLP pipeline
 
 2018-06-14 About
 
 Knowledge Graph Conference 2019
 
 Knowledge Graph Conference 2019, Day 1 - Simia
 
 Tags:
 
 Denny Vrandečić
 Knowledge Graph Conference 2019
 
 2019-05-09 About
 
 2019 Knowledge Graph Conference - Knowledge Graphs for AI in the Enterprise
 
 Tags:
 
 Knowledge Graph Conference 2019
 
 2019-04-11 About
 
 Enterprise Knowledge Graph Foundation
 
 Tags:
 
 Enterprise Knowledge Graph
 Marcel Fröhlich
 
 2021-10-02 About
 
 Enterprise Knowledge Graph Solutions | eccenca
 
 Tags:
 
 eccenca
 Enterprise Knowledge Graph
 
 2021-05-19 About
 
 Label unstructured data using Enterprise Knowledge Graphs 2
 
 Tags:
 
 Enterprise Knowledge Graph
 Word-sense disambiguation
 
 word sense induction and disambiguation (WSID) with knowledge graphs
 
 2020-05-22 About
 
 Stardog: The Enterprise Knowledge Graph Platform
 
 Tags:
 
 Enterprise Knowledge Graph
 
 2018-05-31 About
 
 What IBM, the Semantic Web Company, and Siemens are doing with semantic technologies | ZDNet
 
 Tags:
 
 Enterprise Knowledge Graph
 IBM
 Linking Enterprise Data
 Semantic Enterprise Architecture
 
 2016-09-17 About
 
 What IBM, the Semantic Web Company, and Siemens are doing with semantic technologies | ZDNet
 
 Tags:
 
 Enterprise Knowledge Graph
 IBM
 Linking Enterprise Data
 Semantic Enterprise Architecture
 
 2016-09-17 About
 
 Layered_Semantic_Enterprise_Architecture.png
 
 Tags:
 
 Mike Bergman
 Semantic Enterprise Architecture
 
 2010-07-02 About
 - Semantic indexing
 - Semantic Integration Hub
 - RDF bus
 
 Berners-Lee - Sem Web Life Sciences - Bio-IT world
 
 Tags:
 
 RDF bus
 Semantic Integration Hub
 Semantic Web : introduction
 Tim Berners-Lee
 
 "Keep your existing systems running, adapt them"
 
 2005-11-23 About
 - Semantic Interoperability
 - Semantic markup in HTML
 - Semantic Negotiation
 - Semantic Networks
 - Wordnet
 
 RDF/OWL Representation of WordNet
 
 Tags:
 
 Wordnet
 
 This document presents a standard conversion of Princeton WordNet to RDF/OWL. It describes how it was converted and gives examples of how it may be queried for use in Semantic Web applications.
 
 2006-06-19 About
 - Semantic Overflow
 - Semantic Search
 - Natural Language Semantic Search
 
 How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning
 
 Tags:
 
 Natural Language Semantic Search
 Tutorial
 
 2018-06-02 About
 - Searching by description
 
 [2305.12517] Retrieving Texts based on Abstract Descriptions
 
 Tags:
 
 Arxiv Doc
 Cannibalizing LLMs
 Embeddings in Information Retrieval
 Good
 Instruction tuning
 LLM
 Searching by description
 Text Embeddings
 Using LLM to create synthetic data
 Yoav Goldberg
 
 [@yoavgo sur Twitter](doc:2023/05/ل_ل_yoav_👾_sur_twit) > In this work, we aim to connect two research areas: instruction models and retrieval-based models. > **While instruction-tuned Large Language Models (LLMs) excel at extracting information from text, they are not suitable for semantic retrieval**. > Similarity search over embedding vectors allows to index and query vectors, but the **similarity reflected in the embedding is sub-optimal** retrieving sentences based on abstract descriptions of their content. Eg. >sentences related to “an important battle fought during World War II” or “a significant scientific discovery in the field of physics". fine-tune a sentence transformer. > To obtain the training data, we observe that the reverse direction of the process, going from a text to its description, is a task that can quite easily be performed ... by large language models such as GPT-3
 
 2023-06-15 About
 
 @yoavgo sur Twitter : "searching by description can be very useful, but current embedding models will give you texts that are *similar* to the description, rather than texts that *adhere to it*..."
 
 Tags:
 
 Cannibalizing LLMs
 Searching by description
 Text Embeddings
 Tweet
 Yoav Goldberg
 
 > GPT3... can easily do the opposite direction. Given a text, return an abstract description of it. So we collected many of these, and trained a dual-embedding model > a key takeaway for me is that **we can use the power of LLMs to perform tasks that LLMs cannot do on their own**. Like cool retrieval setups [Paper](doc:2023/06/2305_12517_retrieving_texts_b)
 
 2023-05-24 About
 - SWSE
 
 SWSE FAQ
 
 Tags:
 
 FAQ
 SWSE
 
 2007-07-20 About
 
 SWSE - Semantic Search
 
 Tags:
 
 Semantic Search
 SWSE
 
 2007-07-20 About
 - Top2Vec
 
 [2008.09470] Top2Vec: Distributed Representations of Topics
 
 Tags:
 
 Arxiv Doc
 Top2Vec
 
 2022-04-28 About
 
 ddangelov/Top2Vec: Top2Vec learns jointly embedded topic, document and word vectors.
 
 Tags:
 
 GitHub project
 Top2Vec
 
 > Top2Vec is an algorithm for topic modeling and semantic search. It automatically detects topics present in text and generates jointly embedded topic, document and word vectors. > > "Update: Pre-trained Universal Sentence Encoders and BERT Sentence Transformer now available for embedding." > **The assumption the algorithm makes is that many semantically similar documents are indicative of an underlying topic**. The first step is to create a joint embedding of document and word vectors. Once documents and words are embedded in a vector space the goal of the algorithm is to find dense clusters of documents, then identify which words attracted those documents together. Each dense area is a topic and the words that attracted the documents to the dense area are the topic words. > Once you train the Top2Vec model you can: > - ... > - Get **hierarchical topics**. > - Search topics by keywords. > - Search documents by topic, by keywords. > - Find similar words, similar documents. Refered by [BERTopic](doc:2022/03/maartengr_bertopic_leveraging_)
 
 2022-03-10 About
 - txtai
 
 Building a sentence embedding index with fastText and BM25 | by David Mezzetti | Towards Data Science
 
 Tags:
 
 BM25
 FastText
 Sentence Embeddings
 txtai
 
 > This [article](https://towardsdatascience.com/building-a-sentence-embedding-index-with-fasttext-and-bm25-f07e7148d240) covers sentence embeddings and how codequestion built **a fastText + BM25 embeddings search**. Source code can be found on github. Same people as [neuml/txtai: Build AI-powered semantic search applications](doc:2021/09/neuml_txtai_build_ai_powered_s)
 
 2021-09-30 About
 
 neuml/txtai: Build AI-powered semantic search applications
 
 Tags:
 
 txtai
 
 2021-09-30 About
 - Semantic Statistics
 - Semantic Web : Application
 - Calais
 - GINCO (Culture)
 - Innoraise
 - mSpace
 
 mSpace - Projects - Rich Tags
 
 Tags:
 
 mSpace
 Semanlink related
 Tagging
 
 Rich Tags: Supporting Better Exploration of Digital Repositories with Semantic Social Tagging
 
 2007-01-04 About
 
 XTech 2006: Semantic Web @ NASA
 
 Tags:
 
 mSpace
 NASA
 Semantic Web : Application
 XTech 2006
 
 2006-05-22 About
 
 mSpace
 
 Tags:
 
 mSpace
 
 2006-05-22 About
 
 http://eprints.ecs.soton.ac.uk/10359/01/GDP04-mspaceReport.pdf
 
 Tags:
 
 mSpace
 
 2005-11-16 About
 
 http://mspace.ecs.soton.ac.uk
 
 Tags:
 
 mSpace
 
 2005-02-10 About
 - OKKAM
 
 An Entity Name System for Linking Semantic Web Data
 
 Tags:
 
 Giovanni Tummarello
 LDOW2008
 OKKAM
 
 The Semantic Web should provide a global space for the seamless integration of small knowledge bases (or local “semantic webs”) into a global, open, decentralized and scalable knowledge space. In this paper, we will try to defend the view that the practical realization of the grand vision of the Semantic Web as a huge graph of interlinked data would be much easier and faster if we could count on a service which, by analogy with the DNS, we call an Entity Name System (ENS), namely a service which stores and makes available for reuse URIs for any type of entity in a fully decentralized and open knowledge publication space.
 
 2008-04-05 About
 - RDF Application
 - SearchMonkey
 - Semantically searchable distributed repository
 
 Carbonara - a semantically searchable distributed repository
 
 Tags:
 
 Semantically searchable distributed repository
 
 2005-10-28 About
 - Semantic CMS
 Drupal/RDF
 Interactive Knowledge Stack
 
 Decoupling Content Management
 
 Tags:
 
 Semantic CMS
 
 2015-01-30 About
 
 danja/seki
 
 Tags:
 
 Danny Ayers
 node.js
 Semantic CMS
 SPARQL
 
 Seki is a front-end to an independent SPARQL server using node.js
 
 2013-08-31 About
 
 Liip AG
 
 Tags:
 
 IKS Workshop Salzburg 2012
 Semantic CMS
 
 2012-06-13 About
 
 Semantic CMS and Wikis as Platforms for Linked Learning
 
 Tags:
 
 Linked Learning
 Linked Learning 2012
 Semantic CMS
 
 2012-04-17 About
 
 Talis Aspire
 
 Tags:
 
 Linked Learning
 Linked Learning 2012
 Semantic CMS
 Talis
 Tom Heath
 
 2012-04-17 About
 
 Semantic Technologies: What is in it for the (unhappy) CMS customer? | J. Boye
 
 Tags:
 
 Semantic CMS
 
 2011-10-08 About
 
 trialox ag
 
 Tags:
 
 Clerezza
 Semantic CMS
 Semantic web company
 
 2011-09-09 About
 - Semantic mashups
 
 Interacting with the Web of Data through a Web of Inter-connected Lenses
 
 Tags:
 
 LDOW2012
 Linked Data GUI
 Semantic mashups
 Web of data
 
 2012-04-16 About
 
 Linked My Music
 
 Tags:
 
 Gautier Poupeau
 Linked Data
 Musique
 Semantic mashups
 
 2011-01-18 About
 
 DERI Pipes
 
 Tags:
 
 DERI
 Semantic mashups
 Yahoo!
 
 Inspired by Yahoo's Pipes, DERI Web Data Pipes implement a generalization which can also deal with formats such as RDF (RDFa), Microformats and generic XML.
 
 2008-08-18 About
 
 SPARQLScript - Semantic Mashups made easy - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Semantic mashups
 SPARQL
 
 2008-07-17 About
 - Semantic Web Client Library
 - Semantic Web Outliner
 
 MindRaider - Semantic Web Outliner
 
 Tags:
 
 MindMap
 Semantic Web Outliner
 
 MindRaider is Semantic Web outliner. It aims to connect the tradition of outline editors with emerging technologies. MindRaider mission is to organize not only the content of your hard drive but also your cognitive base and social relationships in a way that enables quick navigation, concise representation and inferencing.
 
 2005-12-31 About
 - Semantic Web P2P
 - Semantic Wiki
 KIWI project
 
 IkeWiki
 
 Tags:
 
 KIWI project
 Semantic Wiki
 
 2008-04-25 About
 
 KiWi: Knowledge in a Wiki
 
 Tags:
 
 Henry Story
 KIWI project
 
 2008-04-17 About
 
 Semantic Media Wiki
 
 RDFIO: extending Semantic MediaWiki for interoperable biomedical data management | Journal of Biomedical Semantics | Full Text
 
 Tags:
 
 Biological data
 Biomedical data
 Semantic Media Wiki
 
 2017-09-04 About
 
 The Semantic Puzzle | Short Semantic MediaWiki Tutorial (with link to sandbox)
 
 Tags:
 
 Semantic Media Wiki
 Tutorial
 
 We opted for Semantic MediaWiki (SMW) and the extensions Semantic Forms and Semantic Drilldown. In this blog post we’ll take a look at the handy features you get with these.
 
 2008-11-06 About
 
 danbri’s foaf stories » Referata, a Semantic Media Wiki hosting site
 
 Tags:
 
 Hosting
 Semantic Media Wiki
 Semantic Wiki
 
 referata.com: a hosting site for SMW-based semantic wikis. This is not the first site to offer hosting of wikis using Semantic MediaWiki (that’s Wikia, as of a few months ago), but it is the first to also offer the usage of Semantic Forms, Semantic Drilldown, Semantic Calendar, Semantic Google Maps and some of the other related extensions you’ve probably heard about; Widgets, Header Tabs, etc. As such, I consider it the first site that lets people create true collaborative databases, where many people can work together on a set of well-structured data.
 
 2008-07-04 About
 
 Gabor Melli's Knowledge Base (GM-RKB)
 
 Tags:
 
 Discuté avec Raphaël
 Personal Knowledge Base
 Semanlink related
 Semantic Wiki
 
 "un cousin de semanlink", dixit Raphaël > Welcome to my knowledge base (GM-RKB): A semantic wiki with approximately ~38,118 pages that largely focus on concepts (~25,000), publications (~5,000) or peoples (~1,000) (à comparer à mes 14475 documents et 7165 tags dans ma version privée de semanlink, as of today 2023-09-08) [RAG](https://www.gabormelli.com/RKB/Retrieval-Augmented_Natural_Language_Generation_(RAG)_Algorithm) vs sl's[RAG (Retrieval-Augmented Generation)](tag:retrieval_augmented_generation) Search for page containing ["RAG finetuning"](https://www.gabormelli.com/RKB/index.php?search=RAG+finetuning&title=Special%3ASearch&profile=advanced&fulltext=1&ns0=1) vs Search tag "RAG finetuning" returning [LLM Fine-tuning vs RAG](tag:llm_fine_tuning_vs_rag) Publie (hum !) le texte des articles arxiv converti en HTML
 
 2023-09-08 About
 
 Collaborative semantic editing of linked data lexica
 
 Tags:
 
 Linked Data / collaborative editing
 Semantic Wiki
 
 The creation of language resources is a time-consuming process requiring the efforts of many people. The use of resources col- laboratively created by non-linguists can potentially ameliorate this situation. However, such resources often contain more errors compared to resources created by experts. For the particular case of lexica, we analyse the case of Wiktionary, a resource created along wiki principles and argue that through the use of a principled lexicon model, namely lemon, the resulting data could be better understandable to machines. We then present a platform called lemon source that supports the creation of linked lexical data along the lemon model. This tool builds on the concept of a semantic wiki to enable collaborative editing of the resources by many users concurrently. In this paper, we describe the model, the tool and present an evaluation of its usability based on a small group of users.
 
 2013-04-17 About
 
 danbri’s foaf stories » Referata, a Semantic Media Wiki hosting site
 
 Tags:
 
 Hosting
 Semantic Media Wiki
 Semantic Wiki
 
 referata.com: a hosting site for SMW-based semantic wikis. This is not the first site to offer hosting of wikis using Semantic MediaWiki (that’s Wikia, as of a few months ago), but it is the first to also offer the usage of Semantic Forms, Semantic Drilldown, Semantic Calendar, Semantic Google Maps and some of the other related extensions you’ve probably heard about; Widgets, Header Tabs, etc. As such, I consider it the first site that lets people create true collaborative databases, where many people can work together on a set of well-structured data.
 
 2008-07-04 About
 
 Towards an Interlinked Semantic Wiki Farm
 
 Tags:
 
 Alexandre Passant
 ESWC 2008
 Semantic Wiki
 Slides
 
 2008-06-20 About
 
 IkeWiki
 
 Tags:
 
 KIWI project
 Semantic Wiki
 
 2008-04-25 About
 
 Semantic MediaWiki - Semantic-mediawiki.org
 
 Tags:
 
 Semantic Wiki
 WWW 2008
 
 2008-04-25 About
 
 Wiki@OntoWorld
 
 Tags:
 
 Semantic Wiki
 
 This site runs Semantic MediaWiki, an extension to the MediaWiki-Software (which powers Wikipedia).
 
 2006-03-03 About
 
 Visions of Aestia » Scoping a Semantic Wiki
 
 Tags:
 
 Semantic Wiki
 
 2006-03-03 About
 
 Semantic Wiki State Of The Art - Wiki@OntoWorld
 
 Tags:
 
 Semantic Wiki
 
 Liste de logiciels SW Wiki
 
 2006-02-17 About
 
 SemperWiki
 
 Tags:
 
 Semantic Wiki
 
 SemperWiki is an open-source semantic personal Wiki for Gnome.
 
 2005-11-01 About
 - SIMILE
 Piggy Bank
 
 Piggy Bank - Home page
 
 Tags:
 
 Piggy Bank
 
 2007-01-02 About
 
 Danny Ayers, Raw Blog : » RDF.net : Challenged!
 
 Tags:
 
 Danny Ayers
 Piggy Bank
 Tim Bray
 
 2005-11-01 About
 
 Stefano's Linotype ~ Piggy Bank, Cocoon and the Future of the Web
 
 Tags:
 
 Cocoon
 Mozilla
 Piggy Bank
 SIMILE
 Stefano Mazzocchi
 
 At the heart of Piggy Bank, there is a web server running inside your web browser. It's running a servlet, a minimal RESTful framework... When people ask me what I do for a living, I say that I research what the web of the future could be. At that point, they ask me to give them an example of what that would mean for them. My usual reply is "if we are successful, the only difference you'll perceive is that you won't feel as constantly lost as you feel today". At that point they smile, happy to meet a technologist who thinks it's his fault, not theirs, if they can't do something with his software.
 
 2005-10-27 About
 
 SIMILE Exhibit
 
 WWW Conference Exhibits
 
 Tags:
 
 SIMILE Exhibit
 WWW 2007
 
 Exhibit based view of the WWW2007 paper
 
 2007-05-24 About
 
 AI3: Converting ‘Sweet Tools’ to an Exhibit
 
 Tags:
 
 Howto
 SIMILE Exhibit
 
 2007-01-24 About
 
 AI3’s Comprehensive Listing of Semantic Web and Related Tools
 
 Tags:
 
 Semantic Web : Tools
 SIMILE Exhibit
 
 as a SIMILE exhibit
 
 2007-01-24 About
 
 SIMILE | Exhibit
 
 Tags:
 
 SIMILE Exhibit
 
 Exhibit is a lightweight structured data publishing framework that lets you create web pages with support for sorting, filtering, and rich visualizations by writing only HTML and optionally some CSS and Javascript code.
 
 2006-12-11 About
 
 SIMILE Timeline
 
 timemap - Javascript library to help use a SIMILE timeline with online maps including Google, OpenLayers, and Bing. - Google Project Hosting
 
 Tags:
 
 Google Maps
 SIMILE Timeline
 
 2012-11-28 About
 
 SIMILE Widgets | Timeline
 
 Tags:
 
 SIMILE Timeline
 
 2012-11-28 About
 
 Hey LazyWeb! : Live Clipboard and Timeline
 
 Tags:
 
 Danny Ayers
 Live Clipboard
 SIMILE Timeline
 
 2006-07-12 About
 
 SIMILE | Timeline
 
 Tags:
 
 Good
 SIMILE Timeline
 
 Timeline is a DHTML-based AJAXy widget for visualizing time-based events.
 
 2006-07-05 About
 
 Linking Open Data mailing list at simile
 
 Tags:
 
 Linked Data
 Mailing list
 SIMILE
 
 2007-06-23 About
 
 SIMILE | RDFizers
 
 Tags:
 
 RDFizers
 SIMILE
 
 RDFizers are tools that allow to transform existing data into an RDF representation.
 
 2006-03-31 About
 
 Stefano's Linotype ~ Piggy Bank, Cocoon and the Future of the Web
 
 Tags:
 
 Cocoon
 Mozilla
 Piggy Bank
 SIMILE
 Stefano Mazzocchi
 
 At the heart of Piggy Bank, there is a web server running inside your web browser. It's running a servlet, a minimal RESTful framework... When people ask me what I do for a living, I say that I research what the web of the future could be. At that point, they ask me to give them an example of what that would mean for them. My usual reply is "if we are successful, the only difference you'll perceive is that you won't feel as constantly lost as you feel today". At that point they smile, happy to meet a technologist who thinks it's his fault, not theirs, if they can't do something with his software.
 
 2005-10-27 About
 
 SIMILE | Piggy Bank
 
 Tags:
 
 Firefox
 SIMILE
 
 extension to the Firefox web browser that turns it into a “Semantic Web browser”, letting you make use of existing information on the Web in more useful and flexible ways.
 
 2005-06-01 About
 - SW in Technical Automotive Documentation
 fps AND LDOW2008
 OWLED 2007 AND fps
 Référentiel des opérations
 
 Ivan Herman - Semantic Web Adoption
 
 Tags:
 
 Automotive AND W3C
 Ivan Herman
 Link to me
 Référentiel des opérations
 
 Invited talk given at the First China Semantic Web Symposium (CSWS 2007), in Beijing, China, on November 19, 2007.
 
 2008-03-04 About
 
 SWEO: Renault use case
 
 Semantic Web Technologies in Automotive Repair and Diagnostic Documentation
 
 Tags:
 
 Automotive AND W3C
 SWEO: Renault use case
 
 Semantic Web Education and Outreach Interest Group: case study
 
 2007-05-30 About
 - TAP
 
 A System for integrating Web Services into a Global Knowledge Base (2002)
 
 Tags:
 
 TAP
 
 2008-01-21 About
 - Twine
 
 François-Paul Servant | Twine
 
 Tags:
 
 fps
 Twine
 
 2008-07-07 About
 
 SitePoint Blogs » Twine’s dual personality
 
 Tags:
 
 Twine
 
 2008-03-19 About
 
 Twine
 
 Tags:
 
 Twine
 
 A revolutionary new way to share, organize, and find information. Use Twine to better leverage and contribute to the collective intelligence of your friends, colleagues, groups and teams. Twine ties it all together.
 
 2007-11-08 About
 
 Technology Review: Twine
 
 Tags:
 
 Twine
 
 Radar Networks' free tool provides a smarter way to find information and increase productivity.
 
 2007-11-08 About
 - Yago
 - Zemanta
 
 Linked Data Entity Extraction with Zemanta and OpenCalais - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Calais
 Entity linking
 Linked Data
 Zemanta
 
 2010-08-12 About
 
 Zemanta talks Linked Data with SDK and commercial API | The Semantic Web | ZDNet.com
 
 Tags:
 
 Zemanta
 
 2008-12-10 About
 - Zitgist
 
 Semantic Web technologies for digital preservation : the SPAR project
 
 Tags:
 
 BNF
 Semantic Web : Application
 Virtuoso
 
 2009-04-15 About
 
 Semantic apps to watch - ReadWriteWeb
 
 Tags:
 
 Semantic Web : Application
 
 2008-11-26 About
 
 Open Source Projects @ Freie Universität Berlin
 
 Tags:
 
 Freie Universität Berlin
 Linked Data
 Open Source
 Semantic Web : Application
 
 2007-04-20 About
 
 CEUR-WS.org/Vol-201 - SWAP, Semantic Web Applications and Perspectives, 2nd Italian Semantic Web Workshop
 
 Tags:
 
 Semantic Web : Application
 Workshop
 
 2006-12-23 About
 
 XTech 2006: Semantic Web @ NASA
 
 Tags:
 
 mSpace
 NASA
 Semantic Web : Application
 XTech 2006
 
 2006-05-22 About
 
 The 325 Project
 
 Tags:
 
 Antiquité romaine
 Semantic Web : Application
 
 2006-01-30 About
 - Semantic Web : Business
 - Business case: semantic web
 
 KnowledgeWeb - DaimlerChrysler Semantic Web Portal business case
 
 Tags:
 
 Business case: semantic web
 Daimler
 Semantic Web : Portal
 
 2010-07-30 About
 
 Semantic Web Education and Outreach (SWEO) Interest Group / Business case
 
 Tags:
 
 Business case: semantic web
 Jeffrey T. Pollock
 SWEO Interest Group
 
 2010-07-30 About
 - MutualArt.com
 
 “The semantic web enables us to use portals in a more intelligent fashion, so we can do business more efficiently” at Cloudlands
 
 Tags:
 
 Art
 MutualArt.com
 Semantic Web : Business
 
 MutualArt.com is a global initiative to link art collectors with artists, museums, galleries and information sources including the leading art publications, auction house information and prices. It is the first major application of the semantic web to a consumer service.
 
 2008-03-29 About
 - Semantic Web : critique
 - Semantic Web: CRM
 - Semantic Web: databases
 - Jena and database
 - RDF and database
 - TripleStore
 
 Oracle - Semantic Technologies Center
 
 Tags:
 
 Oracle
 Semantic Web: databases
 
 2009-01-15 About
 
 Relational Database Integration with RDF/OWL
 
 Tags:
 
 Bob DuCharme
 OWL
 Semantic Web: databases
 
 Using the W3C OWL ontology standard lets you get more out of all kinds of data. Find out how this standard and some free software lets you query two databases as if they were one. The primary goal of this article is to put together a demonstration of how you can use OWL to integrate two relational databases, and then perform queries against the aggregate collection to answer realistic questions that you could not answer without the addition of an OWL ontology.
 
 2008-08-01 About
 - Semantic web: evangelization
 - Semantic Web : introduction
 
 How To Tell Search Engines What "Entities" Are On Your Web Pages
 
 Tags:
 
 Knowledge Graphs
 schema.org
 Search Engines
 Semantic Web : introduction
 SEO
 
 2014-03-26 About
 
 An introduction to semantic web and linked data
 
 Tags:
 
 Fabien Gandon
 Semantic Web : introduction
 WWW 2013
 
 2013-05-14 About
 
 Introduction to Semantic Web Technologies, slides Ivan Herman at semtech 2010
 
 Tags:
 
 Ivan Herman
 Semantic Web : introduction
 Slides
 
 2010-06-30 About
 
 RESTful Web Services: the book
 
 Tags:
 
 Henry Story
 RDF
 RESTful Web Services
 Semantic Web : introduction
 
 That's RDF for you. It's so simple I am able to explain it to people in bars within a minute. Here is an example, which says that my name is Henry: <http://bblfish.net/people/henry/card#me> <http://xmlns.com/foaf/0.1/name> "Henry Story". Click on the URLs and you will GET their meaning. Since resources can return any number of representations, different user agents can get the representation they prefer.
 
 2008-05-08 About
 
 The Semantic Web Revisited
 
 Tags:
 
 Semantic web: evangelization
 Semantic Web : introduction
 Tim Berners-Lee
 
 An update to the 2001 Scientific American article.
 
 2006-07-14 About
 
 The future of the Web is Semantic
 
 Tags:
 
 IBM developerWorks
 Semantic Web : introduction
 
 2006-01-30 About
 
 Tutorial on Semantic Web Technologies (1)
 
 Tags:
 
 Semantic Web : introduction
 Tutorial
 
 2005-12-16 About
 
 Berners-Lee - Sem Web Life Sciences - Bio-IT world
 
 Tags:
 
 RDF bus
 Semantic Integration Hub
 Semantic Web : introduction
 Tim Berners-Lee
 
 "Keep your existing systems running, adapt them"
 
 2005-11-23 About
 
 Danny Ayers, Raw Blog : » Semantic Web Starting Points
 
 Tags:
 
 Links
 Semantic Web : introduction
 
 2005-10-04 About
 
 http://www.ics.mq.edu.au/~cassidy/talks/semweb/semweb.html
 
 Tags:
 
 Semantic Web : introduction
 
 2005-01-05 About
 
 The Semantic Web - An Introduction.
 
 Tags:
 
 Semantic Web : introduction
 
 2005-01-05 About
 - SWEO Interest Group
 SWEO: Renault use case
 
 Case Study: Contextual Search for Volkswagen and the Automotive Industry
 
 Tags:
 
 Automotive AND W3C
 SWEO Interest Group
 Volkswagen
 
 2011-10-11 About
 
 Semantic Web Education and Outreach (SWEO) Interest Group / Business case
 
 Tags:
 
 Business case: semantic web
 Jeffrey T. Pollock
 SWEO Interest Group
 
 2010-07-30 About
 
 Use Case: How Ontologies and Rules Help to Advance Automobile Development
 
 Tags:
 
 Audi
 Automotive AND W3C
 SWEO Interest Group
 
 2008-06-17 About
 
 Case Study: Enhancement and Integration of Corporate Social Software Using the Semantic Web
 
 Tags:
 
 Alexandre Passant
 EDF
 Semantic Enterprise
 Semantic web : Use cases
 Semantic Web / Web 2.0
 Social software
 SWEO Interest Group
 
 2008-06-12 About
 
 Case Study: KDE 4.0 Semantic Desktop Search and Tagging
 
 Tags:
 
 KDE
 Leo Sauermann
 NEPOMUK
 Semantic Desktop
 Semantic tagging
 SWEO Interest Group
 
 Semantic Web technologies (RDF, RDFS, OWL) are used as a backend metadata architecture in KDE 4.0 to tag, comment, annotate, etc, all files under Linux regardless of their file format, and to initiate corresponding search actions.
 
 2008-06-04 About
 
 Semantic Web Education and Outreach Interest Group Case Studies and Use Cases
 
 Tags:
 
 Ivan Herman
 Semantic web : Use cases
 SWEO Interest Group
 
 2007-04-28 About
 
 Practical Semantic Web Use Cases on ESW Wiki
 
 Tags:
 
 Ivan Herman
 Semantic web : Use cases
 SWEO Interest Group
 
 2007-04-28 About
 
 W3C Semantic Web FAQ
 
 Tags:
 
 FAQ
 Semantic web: evangelization
 SWEO Interest Group
 
 2007-04-25 About
 - Semantic Web : Portal
 - Semantic web : présentation
 - Semantic Web : Tools
 - Calais
 - Jena
 - Linked Data Browser
 - OntoWiki
 - OWL tool
 - RDF Framework
 - RDF Tools
 - Semantic Web Crawler
 
 Slug: A Semantic Web Crawler
 
 Tags:
 
 Leigh Dodds
 Semantic Web Crawler
 
 Slug is a web crawler (or Scutter) designed for harvesting semantic web content. Implemented in Java using the Jena API, Slug provides a configurable, modular framework that allows a great degree of flexibility in configuring the retrieval, processing and storage of harvested content.
 
 2006-03-29 About
 - Semantic Web Outliner
 - Semantic Web search engine
 - sindice
 - SKOS editor
 - SW online tools
 
 Visual RDF
 
 Tags:
 
 Graph visualization
 RDF
 SW online tools
 
 2012-05-12 About
 
 Kasabi
 
 Tags:
 
 Leigh Dodds
 SW online tools
 Talis
 
 2011-07-07 About
 
 Talis Semantic Web Formats Converter
 
 Tags:
 
 SW online tools
 Talis
 
 2009-04-01 About
 
 Online N3 Validator
 
 Tags:
 
 N3
 RDF Validator
 SW online tools
 
 2009-04-01 About
 
 W3C RDF Validation Service
 
 Tags:
 
 RDF Validator
 SW online tools
 W3C
 
 2007-01-19 About
 - TopBraid
 TopBraid/SPIN
 SPIN functions
 
 Describing SPARQL Extension Functions « Lost Boy
 
 Tags:
 
 Leigh Dodds
 SPARQL Extension Functions
 SPIN functions
 
 2011-01-10 About
 
 Ascension Semantica: A New SPIN Cycle
 
 Tags:
 
 SPIN functions
 
 2011-01-09 About
 
 SPIN Modeling Vocabulary
 
 Tags:
 
 TopBraid/SPIN
 
 The basic idea is to use specific RDF properties to link classes with SPARQL queries so that those SPARQL queries can be executed with a given context.
 
 2011-01-10 About
 
 SPARQL more than a query language! - Semantic Overflow
 
 Tags:
 
 Semantic Overflow
 SPARQL
 TopBraid/SPIN
 
 2010-12-27 About
 
 WHERE OWL fails
 
 Tags:
 
 OWL
 TopBraid/SPIN
 
 2010-12-17 About
 
 SPARQL for SKOS integrity constraints
 
 Tags:
 
 Constraints in the SW
 Pellet
 SKOS
 SPARQL
 TopBraid/SPIN
 
 2010-12-16 About
 
 Composing the Semantic Web: The Object-Oriented Semantic Web with SPIN
 
 Tags:
 
 TopBraid/SPIN
 
 2010-12-13 About
 
 SPIN - SPARQL Inferencing Notation
 
 Tags:
 
 TopBraid/SPIN
 
 SPIN is a collection of RDF vocabularies enabling the use of SPARQL to define constraints and inference rules on Semantic Web models. SPIN also provides meta-modeling capabilities that allow users to define their own SPARQL functions and query templates. Finally, SPIN includes a ready to use library of common functions. Instead of relying on the textual representation of SPARQL expressions, SPIN offers an RDF Schema for SPARQL. As a result, SPARQL queries can be stored as RDF triples together with any RDF domain model. This enables linkage of RDF resources with the associated SPARQL queries as well as sharing and reuse of SPARQL queries as part of Semantic Web models. An RDF vocabulary for SPARQL is the first layer in the SPIN framework. Using the SPARQL RDF syntax, SPIN defines a light-weight collection of RDF properties that allow domain modelers to attach inference rules (as SPARQL Construct queries) and constraint checks/unit tests (as Construct or Ask queries) to RDFS or OWL class definitions
 
 2010-10-01 About
 
 Stop Press: Microdata in TopBraid
 
 Tags:
 
 Dean Allemang
 Microdata
 TopBraid
 
 2011-06-07 About
 
 TopQuadrant | Solutions | Enterprise Vocabulary Net
 
 Tags:
 
 TopBraid
 
 TopBraid Enterprise Vocabulary Net (TopBraid EVN) is a web-based solution for simplified development and management of interconnected controlled vocabularies.
 
 2010-10-26 About
 - Semantic web: training
 - Semantic web : Use cases
 - Semantic Web: Life Sciences
 
 Experiences with the conversion of SenseLab databases to RDF/OWL
 
 Tags:
 
 Database to RDF mapping
 OWL
 Semantic Web: Life Sciences
 
 2008-06-12 About
 
 A Prototype Knowledge Base for the Life Sciences
 
 Tags:
 
 Semantic Web: Life Sciences
 Semantic web : Use cases
 W3C
 Web of data
 WWW 2007
 
 The prototype we describe is a biomedical knowledge base, constructed for a demonstration at Banff WWW2007 , that integrates 15 distinct data sources using currently available Semantic Web technologies such as the W3C standard Web Ontology Language [OWL] and Resource Description Framework [RDF]. This report outlines which resources were integrated, how the knowledge base was constructed using free and open source triple store technology, how it can be queried using the W3C Recommended RDF query language SPARQL [SPARQL], and what resources and inferences are involved in answering complex queries. While the utility of the knowledge base is illustrated by identifying a set of genes involved in Alzheimer's Disease, the approach described here can be applied to any use case that integrates data from multiple domains.
 
 2008-06-12 About
 - Semantic Web / Web 2.0
 - semantic-web@w3.org
 - Semantic web and AI
 - Semantic Web and OOP
 - Semantic Web blog
 - Semantic web company
 - French Semantic web company
 Antidot
 
 Les musées en France
 
 Tags:
 
 Antidot
 Gautier Poupeau
 Musée
 
 2014-02-28 About
 
 Le plus grand projet Open Data / Linked Data français bientôt ouvert
 
 Tags:
 
 Antidot
 France
 Linked Data
 Open Data
 
 2012-03-05 About
 
 Discovering French Monuments, With the Help of the Semantic Web - semanticweb.com
 
 Tags:
 
 Antidot
 Monuments historiques
 Sem web demo
 
 An app to discover 44,000 French monuments. Completed in four days. By one person. Without coding.
 
 2011-12-26 About
 
 Mondeca
 (LOV) Linked Open Vocabularies
 TEMIS
 
 Press release - OECD - Press Releases - TEMIS
 
 Tags:
 
 TEMIS
 
 2013-11-23 About
 - Ontoprise
 
 Ontoprise brings semantic technologies to Microsoft SharePoint
 
 Tags:
 
 Ontoprise
 Sharepoint
 
 2008-10-17 About
 - OpenLink Software
 - Talis
 Nodalities
 
 The Data Web as an OS
 
 Tags:
 
 Nodalities
 Web of data
 
 good title!
 
 2009-12-02 About
 
 Talis platform
 
 LinkSailor
 
 Tags:
 
 RDF browser
 Talis platform
 
 2011-04-19 About
 
 Talis Platform - Demos
 
 Tags:
 
 BBC
 Leigh Dodds
 Linked Data demo
 Talis platform
 
 2010-08-25 About
 
 tagliatelle delicious RDFizer
 
 Tags:
 
 Danny Ayers
 del.icio.us
 Semanlink related
 Tag ontology
 Talis platform
 
 Takes all your bookmarks from del.icio.us, converts to RDF (using Tag Ontology), pushes into a Talis Platform store
 
 2009-04-11 About
 
 Bigfoot - An initial tour | Talis Developer Network
 
 Tags:
 
 Talis platform
 
 initial introduction to Bigfoot Stores and the APIs and services you can expect from one.
 
 2008-07-20 About
 
 Platform FAQ - n² wiki
 
 Tags:
 
 FAQ
 Talis platform
 
 2008-07-20 About
 
 Platform API - n² wiki
 
 Tags:
 
 Talis platform
 
 2008-07-20 About
 
 Nodalities: Google App Engine and the Joy of WebArch
 
 Tags:
 
 Danny Ayers
 Google App Engine
 Talis platform
 
 2008-04-14 About
 
 Talis RDF/JSON
 
 Changeset
 
 Tags:
 
 Ian Davis
 LDP: updates
 RDF Vocabularies
 Talis
 
 This vocabulary defines a set of terms for describing changes to resource descriptions.
 
 2014-09-15 About
 
 Talis shuts down semantic web operations
 
 Tags:
 
 Gartner
 Linked Data
 Talis
 
 We feel that there isn't and won't be an addressable market that coalesces around the technologies themselves. Rather, they are being absorbed into mainstream use. Both data.gov.uk and the BBC were highlighted by analyst company Gartner in a recent research report that described linked data as "the best way of opening, integrating and sharing data to meet the needs of the evolving web".
 
 2012-07-11 About
 
 Talis Aspire
 
 Tags:
 
 Linked Learning
 Linked Learning 2012
 Semantic CMS
 Talis
 Tom Heath
 
 2012-04-17 About
 
 Kasabi
 
 Tags:
 
 Leigh Dodds
 SW online tools
 Talis
 
 2011-07-07 About
 
 Talis Semantic Web Formats Converter
 
 Tags:
 
 SW online tools
 Talis
 
 2009-04-01 About
 
 SPARQL Demo - n² wiki
 
 Tags:
 
 SPARQL: sample code
 SPARQL endpoint
 Talis
 
 2008-05-19 About
 
 SPARQL Recipes - N2 wiki
 
 Tags:
 
 SPARQL Tips
 Talis
 
 includes: FILTERing in literals with a given language OR no language at all
 
 2008-04-08 About
 
 SPARQL intro - N2 wiki
 
 Tags:
 
 SPARQL Tutorial
 Talis
 
 2008-03-04 About
 - TopQuadrant
 Dean Allemang
 
 [2311.07509] A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases
 
 Tags:
 
 Arxiv Doc
 Benchmark
 Dean Allemang
 Juan Sequeda
 Knowledge Graphs
 LLM + KG
 LLM+SQL
 
 2023-11-21 About
 
 Stop Press: Microdata in TopBraid
 
 Tags:
 
 Dean Allemang
 Microdata
 TopBraid
 
 2011-06-07 About
 
 S is for Semantics: Extending OWL RL
 
 Tags:
 
 Dean Allemang
 OWL RL
 
 2010-08-27 About
 
 Building Competency in Semantic Web Technology | Semantic Universe
 
 Tags:
 
 Dean Allemang
 Semantic web: training
 
 2010-08-24 About
 
 TopBraid
 
 QUDT - Quantities, Units, Dimensions and Data Types in OWL and XML
 
 Tags:
 
 NASA
 Ontologies
 RDF Vocabularies
 TopQuadrant
 
 2011-07-11 About
 
 TopQuadrant's RDFa Implementation Report
 
 Tags:
 
 RDFa
 TopQuadrant
 
 2011-01-18 About
 
 VOYAGES OF THE SEMANTIC ENTERPRISE
 
 Tags:
 
 Semantic Enterprise
 Semantic Web blog
 TopQuadrant
 
 TopQuadrant's blog
 
 2011-01-09 About
 
 VOYAGES OF THE SEMANTIC ENTERPRISE: How to: convert a spreadsheet to SKOS
 
 Tags:
 
 SKOS
 Spreadsheets
 TopQuadrant
 
 2011-01-09 About
 
 Semantic Web Solutions at Work in the enterprise - TopQuadrant white paper
 
 Tags:
 
 Semantic Enterprise
 TopQuadrant
 
 2010-10-27 About
 - Semantic Web Dev
 - Dynamic Semantic Publishing
 - Jena
 - OWL
 - Semantic framework
 OpenStructs
 
 | A Community Instance of theOpen Semantic Framework
 
 Tags:
 
 Graph visualization
 OpenStructs
 
 2012-05-10 About
 
 structWSF-Open-Semantic-Framework/framework/solr_schema_v1_2.xml
 
 Tags:
 
 OpenStructs
 Solr
 
 2012-05-10 About
 
 RDF Aggregates and Full Text Search on Steroids with Solr at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 OpenStructs
 Solr
 Solr + RDF
 
 2012-05-10 About
 
 Solr - OpenStructs TechWiki
 
 Tags:
 
 OpenStructs
 Solr
 
 we: 1) changed standard RDF practice to also record literals in addition to URI identifiers; and 2) integrated our structured data store with Solr
 
 2012-05-10 About
 
 Volkswagen’s RDF Data Management Workflow at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 OpenStructs
 Volkswagen
 
 2011-10-12 About
 
 OpenStructs | Open source data structs and semantic frameworks
 
 Tags:
 
 OpenStructs
 
 2010-08-12 About
 
 OpenStructs | Open source data structs and semantic frameworks
 
 Tags:
 
 Frederick Giasson
 Open Source
 Semantic framework
 
 2011-09-20 About
 - Sem web: context
 
 SPARQL Query Mediation over RDF Data Sources with Disparate Contexts
 
 Tags:
 
 Sem web: context
 SPARQL
 
 2012-04-16 About
 
 Keeping track of Context in Life and on the Web
 
 Tags:
 
 Sem web: context
 
 2008-11-07 About
 - Talis platform
 
 "Getting Real" with RDF and SPARQL
 
 Tags:
 
 Benjamin Nowack
 Semantic Web Dev
 Web dev
 
 "Getting Real" is an agile approach to web application development. This article explains how it can be successfully combined with the flexibility of semantic web technologies.
 
 2008-09-25 About
 
 Developers Guide to Semantic Web Toolkits for different Programming Languages
 
 Tags:
 
 Semantic Web Dev
 
 2006-01-27 About
 
 A Semantic Web Primer for Object-Oriented Software Developers
 
 Tags:
 
 Object Oriented Programming
 Semantic Web Dev
 
 This note is hence intended to act as an introduction to Semantic Web technologies for software developers with background in object-oriented languages like UML and Java. Our goal is to clarify the differences between RDF/OWL and object-oriented languages, and to encourage mainstream developers to add Semantic Web technology to their routine tool kit.
 
 2005-11-23 About
 
 Danny Ayers, Raw Blog : » Semantic Web Challenge Winners
 
 Tags:
 
 Semantic Web Dev
 
 2005-11-10 About
 - Semantic Web Platform
 - Anzo
 - Talis platform
 - Virtuoso
 
 Volkswagen’s Use of structWSF in their Semantic Web Platform at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Semantic Web Platform
 Volkswagen
 
 2011-09-23 About
 - Semantic Web Products
 - Semantic Web project
 - Datalift
 
 Atos and its partners launch the DataLift platform - NASDAQ.com
 
 Tags:
 
 Atos Origin
 Datalift
 
 Big Data to knowledge - DataLift helping to create digital value
 
 2014-03-26 About
 
 Datalift Camp - 9-10 octobre 2012
 
 Tags:
 
 Datalift
 
 2012-09-17 About
 
 Structured Data Gets a Lift - semanticweb.com
 
 Tags:
 
 Datalift
 
 2011-10-11 About
 - gnowsis
 - NEPOMUK
 
 AfriXML - Semantic Africa | African Vocabularies, Taxonomies and Ontologies: XML. Web Services. RDF
 
 Tags:
 
 Afrique
 Semantic Web
 Semantic Web project
 
 AfriXML is a Semantic Web project for describing and sharing the global experience of Africa and the Diaspora. It espouses the concepts and methods of digital anthropology resarch for the development of Africa-focused software and networked content.
 
 2013-01-06 About
 - Semantic Web propaganda
 - Semantic Web Services
 - jersey/RDF
 
 Sommer — Java.net
 
 Tags:
 
 Henry Story
 jersey/RDF
 
 Semantic Object (Medata) Mapper
 
 2012-03-29 About
 
 Serializing Apache Jena's RDF resources via JAXB into JSON docments in a JAX-RS context.
 
 Tags:
 
 Jena
 jersey/RDF
 RDF-in-JSON
 
 2012-03-19 About
 
 Serialising Java Objects to RDF with Jersey (The Sun BabelFish Blog)
 
 Tags:
 
 Henry Story
 jersey/RDF
 
 2011-08-19 About
 - RDF forms
 - Restful semantic web services
 Clerezza
 
 Clerezza: An Apache Project for the Semantic Web | Javalobby
 
 Tags:
 
 Clerezza
 Reto Bachmann-Gmür
 
 2011-09-09 About
 
 trialox ag
 
 Tags:
 
 Clerezza
 Semantic CMS
 Semantic web company
 
 2011-09-09 About
 
 Welcome to Apache Clerezza
 
 Tags:
 
 Clerezza
 
 ApachClerezza is an OSGi-based modular application and set of components (bundles) for building RESTFul Semantic Web applications and services.
 
 2010-12-16 About
 
 Resources-Oriented Web Services
 
 Hello World: ROWS
 
 Tags:
 
 Linked Data
 Resources-Oriented Web Services
 Restful semantic web services
 Samuel Goto
 Schema.org Actions
 
 Resources-Oriented Web Services (ROWS) is a set of technologies that enable the programmatic discovery, description and invocation of actions on resources.
 
 2014-10-21 About
 
 Restful semantic web services
 
 Tags:
 
 Henry Story
 RDF forms
 Restful semantic web services
 SPARQL
 
 2007-07-04 About
 - Semantic Web Services vs SOAP
 
 RDF and SOA
 
 Tags:
 
 Good
 RDF and SOA
 Semantic Web Services vs SOAP
 
 The purpose of this paper is not to propose a particular standardization effort for refining the existing XML-based, WS* approach to Web services, but to suggest another way of thinking about Service Oriented Architecture (SOA) in terms of RDF message exchange, even when custom XML formats are used for message serialization. Workshop on Web of Services for Enterprise Computing, W3C
 
 2007-03-12 About
 
 REST without RDF is only half as bad as SOAP - The Sun BabelFish Blog
 
 Tags:
 
 ATOM (format)
 Henry Story
 Semantic Web Services vs SOAP
 
 2006-07-11 About
 
 The Semantic Web (for Web Developers)
 
 Tags:
 
 Semantic Web Services
 Semantic Web Services vs SOAP
 
 2005-09-28 About
 - Zitgist
 
 Dandelion API - Semantic Text Analytics as a service
 
 Tags:
 
 Entity linking
 Good
 Knowledge Graphs and NLP
 NLP as a service
 Semantic Web Services
 
 > Dandelion API leverages its underlying Knowledge Graph, without relying on traditional NLP pipelines. This makes it faster, more scalable, easier to customize and natively language independent.
 
 2019-04-24 About
 
 The ultimate mashup -- Web services and the semantic Web
 
 Tags:
 
 IBM developerWorks
 Jena
 Mashups
 Semantic Web Services
 Web Services
 
 In addition to single-service applications, developers are creating mashups, applications that combine data from multiple services to create something new. This series chronicles the creation of the ultimate mashup, an application that not only stores data from different mashups but uses semantic technology to enable users to create their own mashups by swapping services, or even by picking and choosing data. It uses Java™ programming and a combination of servlets, JSP, software from the open source Jena project, and DB2's new native XML capabilities.
 
 2006-08-29 About
 
 The Semantic Web (for Web Developers)
 
 Tags:
 
 Semantic Web Services
 Semantic Web Services vs SOAP
 
 2005-09-28 About
 - Sem web: future
 - SemWeb China
 - Sem web demo
 - SHACL
 - SPARQL
 - Concise Bounded Description
 - Federated SPARQL queries
 
 Querying the Web of Interlinked Datasets using VOID Descriptions
 
 Tags:
 
 Federated SPARQL queries
 LDOW2012
 VoID (Vocabulary of Interlinked Datasets)
 
 2012-04-16 About
 - paggr
 - Querying Remote SPARQL Services
 
 ARQ - Querying Remote SPARQL Services
 
 Tags:
 
 ARQ
 Querying Remote SPARQL Services
 
 2008-01-04 About
 - Semantic Web Client Library
 - SPARQL: sample code
 
 SPARQL By Example (Lee Feigenbaum)
 
 Tags:
 
 Lee Feigenbaum
 SPARQL: sample code
 SPARQL Tutorial
 
 2008-09-24 About
 
 Dbpedia en action la suite | Les petites cases
 
 Tags:
 
 dbpedia
 Gautier Poupeau
 Google Maps
 SPARQL: sample code
 SPARQL Demo
 
 2008-05-19 About
 
 SPARQL Demo - n² wiki
 
 Tags:
 
 SPARQL: sample code
 SPARQL endpoint
 Talis
 
 2008-05-19 About
 
 wiki to dbpedia with sparql
 
 Tags:
 
 SPARQL
 SPARQL: sample code
 Wikipedia page to concept
 
 SELECT ?subject ?p WHERE { { ?subject ?p http://en.wikipedia.org/wiki/Well-Tempered_Clavier } }
 
 2008-02-01 About
 - SPARQL: shortcomings
 
 Turtles all the way down | Ruben Verborgh
 
 Tags:
 
 Hydra
 Ruben Verborgh
 SPARQL: shortcomings
 
 APIs are more than just data: context and controls also belong in the message.
 
 2015-10-07 About
 - SPARQL 1.1
 
 Appreciating SPARQL property paths more - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL 1.1
 
 2013-04-27 About
 
 Tarql: SPARQL for Tables - cygri/tarql · GitHub
 
 Tags:
 
 ARQ
 CSV
 Richard Cyganiak
 SPARQL 1.1
 
 SPARQL for Tables Tarql is a command-line tool for converting CSV files to RDF using SPARQL 1.1 syntax. It's written in Java and based on Apache ARQ.
 
 2013-02-08 About
 
 Counting beyond a Yottabyte, or how SPARQL 1.1 Property Paths will prevent adoption of the standard | Semantic Web Dog Food
 
 Tags:
 
 SPARQL 1.1
 WWW 2012
 
 Best paper award at www 2012. <a href="http://www.w3.org/blog/SW/2012/04/19/no-more-counting-beyond-a-yottabyte-or-why-the-w3c-process-works/">see also</a>
 
 2012-04-19 About
 
 Fallback with SPARQL - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL 1.1
 SPARQL Tips
 
 2010-09-22 About
 
 Trying SPARQL 1.1 new query features with ARQ - bobdc.blog
 
 Tags:
 
 ARQ
 Bob DuCharme
 SPARQL 1.1
 
 2010-08-20 About
 - SPARQL AND Jena
 - SPARQL Clipboard
 
 Web Clipboard: Adding liveliness to "Live Clipboard" with eRDF, JSON, and SPARQL.
 
 Tags:
 
 SPARQL Clipboard
 
 2006-06-20 About
 
 SPARQL Clipboard Demo
 
 Tags:
 
 Benjamin Nowack
 SPARQL Clipboard
 
 2006-06-08 About
 
 TechnicaLee Speaking: Exploring the SPARQL Clipboard Demo
 
 Tags:
 
 SPARQL Clipboard
 
 This demo is a fantastic example of what we can accomplish with data that is represented in a lingua franca and that is accessible via a query language. If you add in the ability for this data to be distributed across the web, you end up with an almost ridiculously flexible infrastructure that empowers web authors and developers to integrate data in exciting and unforeseen ways with a very low barrier to entry.
 
 2006-06-08 About
 - SPARQL Construct
 
 Misc Thoughts, CONSTRUCT JSON
 
 Tags:
 
 RDF-in-JSON
 SPARQL Construct
 
 2012-02-20 About
 
 A rules language for RDF - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Rules language
 SPARQL Construct
 
 2009-11-12 About
 
 Appreciating SPARQL CONSTRUCT more - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL Construct
 
 2009-09-23 About
 
 Un moteur de transformation RDF basé sur SPARQL (2) « Leçons de Choses
 
 Tags:
 
 Bernard Vatant
 SKOS
 SPARQL Construct
 
 2008-08-27 About
 - SPARQL Demo
 
 Dbpedia en action la suite | Les petites cases
 
 Tags:
 
 dbpedia
 Gautier Poupeau
 Google Maps
 SPARQL: sample code
 SPARQL Demo
 
 2008-05-19 About
 - SPARQL endpoint
 Pubby
 
 Olaf Hartig sur Twitter : "Question: are there any production-ready tools for providing a SPARQL endpoint over a REST-based Web service?"
 
 Tags:
 
 Olaf Hartig
 REST
 SPARQL endpoint
 Tweet
 
 2021-02-20 About
 
 LH tools; a sparql endpoint for WordPress | Shawfactor
 
 Tags:
 
 Benjamin Nowack
 SPARQL endpoint
 WordPress
 
 2012-04-25 About
 
 Live SPARQL end-point for BBC Programmes - DBTune blog
 
 Tags:
 
 BBC - Programmes
 DBTune
 SPARQL endpoint
 
 2010-05-14 About
 
 SPARQL Demo - n² wiki
 
 Tags:
 
 SPARQL: sample code
 SPARQL endpoint
 Talis
 
 2008-05-19 About
 - SPARQL en javascript
 - SPARQL Extension Functions
 
 Describing SPARQL Extension Functions « Lost Boy
 
 Tags:
 
 Leigh Dodds
 SPARQL Extension Functions
 SPIN functions
 
 2011-01-10 About
 - SPARQL extensions
 
 Surveying and Classifying SPARQL Extensions « Lost Boy
 
 Tags:
 
 Leigh Dodds
 SPARQL extensions
 
 2009-11-12 About
 - SPARQL perfs
 
 Re: sparql performance parameters and limitations
 
 Tags:
 
 SPARQL perfs
 
 2016-01-25 About
 
 Dropping OPTIONAL blocks from SPARQL CONSTRUCT queries - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL perfs
 SPARQL Tips
 
 2016-01-25 About
 - SparqlPress
 - SPARQL Tips
 
 Concise Bounded Descriptions with Two CONSTRUCT Queries
 
 Tags:
 
 SPARQL Tips
 
 2016-02-13 About
 
 Dropping OPTIONAL blocks from SPARQL CONSTRUCT queries - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL perfs
 SPARQL Tips
 
 2016-01-25 About
 
 Normalizing company names with SPARQL and DBpedia - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 dbpedia
 SPARQL Tips
 
 2012-12-09 About
 
 Fallback with SPARQL - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL 1.1
 SPARQL Tips
 
 2010-09-22 About
 
 Querying a set of named RDF graphs without naming the graphs - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Named Graphs
 SPARQL Tips
 
 2009-03-31 About
 
 SPARQL tips: using the GRAPH keyword
 
 Tags:
 
 SPARQL Tips
 
 2008-10-29 About
 
 TechnicaLee Speaking: using OPTIONAL to select a single value based on an ordered list of predicates which might appear in the data
 
 Tags:
 
 Lee Feigenbaum
 SPARQL Tips
 
 suppose we want to use the value of the Dublin Core title predicate (dc:title) if it exists, and otherwise use the value of the rdfs:label predicate
 
 2008-10-29 About
 
 Lost Boy: Parameterised Queries with SPARQL and ARQ
 
 Tags:
 
 ARQ
 Leigh Dodds
 SPARQL Tips
 
 2008-07-06 About
 
 SPARQL Recipes - N2 wiki
 
 Tags:
 
 SPARQL Tips
 Talis
 
 includes: FILTERing in literals with a given language OR no language at all
 
 2008-04-08 About
 - SPARQL Tutorial
 
 SPARQL By Example (Lee Feigenbaum)
 
 Tags:
 
 Lee Feigenbaum
 SPARQL: sample code
 SPARQL Tutorial
 
 2008-09-24 About
 
 SPARQL intro - N2 wiki
 
 Tags:
 
 SPARQL Tutorial
 Talis
 
 2008-03-04 About
 
 ARQ - SPARQL Tutorial
 
 Tags:
 
 SPARQL AND Jena
 SPARQL Tutorial
 
 2007-07-07 About
 - SPARQL Update
 - TopBraid/SPIN
 - XSPARQL
 
 W3C Semantic Web Activity News - XSPARQL published as a W3C Submission
 
 Tags:
 
 W3C Submission
 XSPARQL
 
 2009-06-24 About
 - SWAD-E
 - SW at Renault
 - C2GWeb
 - SW guys (and girls)
 - Aidan Hogan
 
 [2003.02320] Knowledge Graphs
 
 Tags:
 
 Aidan Hogan
 Arxiv Doc
 Axel Polleres
 Knowledge Graphs
 Survey / Review
 
 Draws together many topics & perspectives regarding Knowledge Graphs. 18 co-authors, lead by Aidan Hogan. (Regarding language models for embedding, they refer to [Wang et al. Knowledge Graph Embedding: A Survey of Approaches and Applications](/doc/2019/05/knowledge_graph_embedding_a_su))
 
 2020-03-07 About
 - Alexandre Bertails
 
 Why LD-PATCH (Alexandre Bertails)
 
 Tags:
 
 Alexandre Bertails
 LD-PATCH
 
 2014-09-25 About
 - Alexandre Monnin
 
 HdA Lab
 
 Tags:
 
 Alexandre Monnin
 Bertrand Sajus
 Culture et sem web
 Histoire de l'art
 LOD use case
 Patrimoine
 
 Explorez autrement le portail Histoire des Arts
 
 2012-10-09 About
 - Alexandre Passant
 LODr
 MOAT
 Seevl
 
 Visually index Instagram pictures and find them in real-time
 
 Tags:
 
 Alexandre Passant
 Visual search
 
 2015-07-14 About
 
 Sex and drugs and Rock’n’roll: Analysing the lyrics of the Rolling Stone 500 greatest songs of all time | Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 Lyrics
 NLP
 Rock
 
 2014-07-03 About
 
 Google I/O 2014 Recap: Android, Knowledge Graph and more | Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 Android
 Google
 Google Knowledge Graph
 
 2014-07-02 About
 
 Friends music quizz, social music game
 
 Tags:
 
 Alexandre Passant
 Jeux en ligne
 Musique
 Quizz
 
 2014-03-13 About
 
 Knowledge graphs utilised for content personalisation and discovery on the Web | It's all about music discovery!
 
 Tags:
 
 Alexandre Passant
 Knowledge Graphs
 
 2013-11-09 About
 
 About JSON-LD and Content-Negotiation | Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 Content negotiation
 JSON-LD
 
 2013-09-10 About
 
 Enhancing Enterprise 2.0 Ecosystems Using Semantic Web and Linked Data Technologies:The SemSLATES Approach - Springer
 
 Tags:
 
 Alexandre Passant
 Linking Enterprise Data
 Link to me
 Semantic Enterprise
 
 2013-04-17 About
 
 apassant.net » Easy “copy and paste” from the Web to LaTeX with SPARQL
 
 Tags:
 
 Alexandre Passant
 LaTeX
 SPARQL
 
 sparqlTeX - a LaTeX class / python script to easily embed SPARQL results into TeX files. Using it, one can directly integrate data from SPARQL endpoints, from RDFa-enabled content (such as the previous talk pages), but also from any microformatted page (any Linkedin profile as they’re using hResume) into a LaTeX document. For the last one, I’m using any23 to convert such data into RDF (actually, any23 is used for any file-based query as it extracts RDF from HTML pages even if they’re not W3C-valid)
 
 2012-02-23 About
 
 A Semantic Web Representation of a Product Range Specification based on Constraint Satisfaction Problem in the Automotive Industry
 
 Tags:
 
 Alexandre Passant
 Automobile
 Constraint Satisfaction Problem
 Fadi Badra
 fps: paper
 OSEMA/DERI-Renault paper
 OSEMA 2011
 
 2011-10-25 About
 
 Semantic Enterprise 2.0 - Enabling Semantic Web technologies
 
 Tags:
 
 Alexandre Passant
 DERI
 Semantic Enterprise
 Semantic Web / Web 2.0
 Slides
 
 2010-05-31 About
 
 "Technologies du Web Sémantique pour l'Entreprise 2.0" - Thèse - Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 Semantic Enterprise
 
 2009-07-07 About
 
 "Technologies du Web Sémantique pour l'Entreprise 2.0": Thèse et slides en ligne | Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 Semantic Enterprise
 
 2009-07-07 About
 
 CommonTag - An easy-to-use vocabulary for Semantic Tagging | Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 Common Tag
 Semantic tagging
 
 2009-06-15 About
 
 Soutenance de thèse "Technologies du Web Sémantique pour l'Entreprise 2.0" | Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 Semantic Enterprise
 Web 2.0
 
 2009-05-28 About
 
 SPARCool supports JSONP callbacks | Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 JSONP
 
 2009-05-20 About
 
 SPARCool
 
 Tags:
 
 Alexandre Passant
 Linked Data
 SPARQL
 
 SPARCool offers a way to run SPARQL queries about any URI that follows the Linked Data principles by calling a simple URL based on the http://sparcool.net/format/predicate[;l=lang]/URI pattern.
 
 2009-04-21 About
 
 LODr (Alexandre Passant's instance)
 
 Tags:
 
 Alexandre Passant
 LODr
 
 2008-10-07 About
 
 Towards an Interlinked Semantic Wiki Farm
 
 Tags:
 
 Alexandre Passant
 ESWC 2008
 Semantic Wiki
 Slides
 
 2008-06-20 About
 
 FOAF & SIOC applications, slides (Alexandre Passant, ESWC 2008, "Socail Networks" tutorial)
 
 Tags:
 
 Alexandre Passant
 ESWC 2008
 foaf
 SIOC
 Slides
 Tutorial
 
 2008-06-20 About
 
 ESWC2008 slides : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 ESWC 2008
 Slides
 
 2008-06-20 About
 
 Case Study: Enhancement and Integration of Corporate Social Software Using the Semantic Web
 
 Tags:
 
 Alexandre Passant
 EDF
 Semantic Enterprise
 Semantic web : Use cases
 Semantic Web / Web 2.0
 Social software
 SWEO Interest Group
 
 2008-06-12 About
 
 Attending WWW2008 : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 LDOW2008
 WWW 2008
 
 2008-04-24 About
 
 SemwebCampParis numéro 2 : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 foaf
 RDF and social networks
 Semantic Camp Paris
 SIOC
 
 2008-04-11 About
 
 From RSS to SIOC using SPARQL : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 RSS
 SIOC
 SPARQL
 
 2008-04-08 About
 
 One FOAF fits all : Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 foaf
 
 2008-04-07 About
 
 Meaning Of A Tag: A Collaborative Approach to Bridge the Gap Between Tagging and Linked Data
 
 Tags:
 
 Alexandre Passant
 LDOW2008
 MOAT
 
 2008-03-30 About
 
 Weaving SIOC into the Web of Linked Data
 
 Tags:
 
 Alexandre Passant
 LDOW2008
 Richard Cyganiak
 SIOC
 
 2008-03-30 About
 - Alistair Miles
 
 Alistair Miles » SKOS and RDFa in e-Learning
 
 Tags:
 
 Alistair Miles
 Online Learning
 RDFa
 SKOS
 
 Both SKOS and RDFa have interesting consequences for e-learning technology, and especially for leveraging the Web as a platform for delivering learning.
 
 2007-11-20 About
 - Andy Seaborne
 ARQ
 
 Two graph data models : RDF and Property Graphs
 
 Tags:
 
 Andy Seaborne
 RDF and Property Graphs
 
 2018-04-08 About
 
 RDF Binary encoding using Thrift.
 
 Tags:
 
 Andy Seaborne
 RDF
 
 2014-06-29 About
 
 RDF Patch – Describing Changes to an RDF Dataset
 
 Tags:
 
 Andy Seaborne
 HTTP PATCH
 LDP: updates
 RDF
 
 RDF Patch is a file format for recording changes made to an RDF dataset. It can be used for replicating changes between multiple copies of the same dataset or as an incremental backups format. The design emphasizes deployment concerns such as scalability and efficient processing.
 
 2013-08-21 About
 
 ESWC2007_SPARQL_Tutorial.pdf
 
 Tags:
 
 Andy Seaborne
 Axel Polleres
 Bijan Parsia
 SPARQL
 
 2010-12-15 About
 
 ARQtick: Jena-Mulgara : example of implementing a Jena graph
 
 Tags:
 
 Andy Seaborne
 Implementing a Jena Graph
 
 2009-09-18 About
 
 Message: RE: [jena-dev] ARQ property functions: is it possible to use a blank node as argObject?
 
 Tags:
 
 Andy Seaborne
 ARQ property functions
 fps' post
 
 2008-12-12 About
 
 SPARQL Update
 
 Tags:
 
 Andy Seaborne
 SPARQL Update
 
 2008-10-21 About
 
 ARQ: a question about property functions
 
 Tags:
 
 Andy Seaborne
 ARQ property functions
 Dev tips
 fps' post
 
 when handling a describe query with ARQ, is it possible to add statements to the returned RDF, based on a "magic property"? (Yes, it is)
 
 2008-07-14 About
 
 RDF Net API
 
 Tags:
 
 Andy Seaborne
 Joseki
 RDF Net API
 
 A simple network interface to remote RDF models. There are two sets of functionality: a basic access mechanism that provides query capability to a collection of RDF statements, and an update mechanism where, subject to security constraints (not discussed here), changes to the RDF model can be made.
 
 2008-01-09 About
 
 SPARQL Query Language for RDF
 
 Tags:
 
 Andy Seaborne
 W3C Recommendation
 
 2007-07-07 About
 - Axel Ngonga
 
 GERBIL Experiment Overview
 
 Tags:
 
 Axel Ngonga
 
 2014-12-16 About
 - Axel Polleres
 
 [2003.02320] Knowledge Graphs
 
 Tags:
 
 Aidan Hogan
 Arxiv Doc
 Axel Polleres
 Knowledge Graphs
 Survey / Review
 
 Draws together many topics & perspectives regarding Knowledge Graphs. 18 co-authors, lead by Aidan Hogan. (Regarding language models for embedding, they refer to [Wang et al. Knowledge Graph Embedding: A Survey of Approaches and Applications](/doc/2019/05/knowledge_graph_embedding_a_su))
 
 2020-03-07 About
 
 ESWC2007_SPARQL_Tutorial.pdf
 
 Tags:
 
 Andy Seaborne
 Axel Polleres
 Bijan Parsia
 SPARQL
 
 2010-12-15 About
 - Bart van Leeuwen
 
 Semantic Web in Emergency Response Systems – UPDATE - semanticweb.com
 
 Tags:
 
 Amsterdam
 Bart van Leeuwen
 Government data
 Government data as Linked Data
 
 2013-10-18 About
 - Ben Adida
 
 Ben Adida sur Twitter : "Alright Twitter friends, I want to host a wiki for an open-source project. MediaWiki? Something else? Any host recommendations? I need clear editorial control with ease of submitting contributions, even small one-offs."
 
 Tags:
 
 Ben Adida
 Wiki
 
 2019-04-11 About
 
 (your) information wants to be free – obamacare edition | Benlog
 
 Tags:
 
 Ben Adida
 Obamacare
 Privacy and internet
 
 Ghostery
 
 2015-01-24 About
 
 Don’t Hash Secrets | Benlog
 
 Tags:
 
 Ben Adida
 Cryptography
 
 So the next time you’re using a hash function on anything, ask yourself: is any of the stuff I’m hashing supposed to stay secret? If so, don’t hash. Instead, use HMAC.
 
 2014-06-22 About
 
 Ben Adida - RDFa, slides du workshop à WWW2008
 
 Tags:
 
 Ben Adida
 Elias Torres
 RDFa
 Slides
 WWW 2008
 
 2008-04-21 About
 - Benjamin Nowack
 paggr
 
 LH tools; a sparql endpoint for WordPress | Shawfactor
 
 Tags:
 
 Benjamin Nowack
 SPARQL endpoint
 WordPress
 
 2012-04-25 About
 
 From Idea to Web - Creating Linked Data Apps
 
 Tags:
 
 Benjamin Nowack
 Linked Data Dev
 REST
 SemTechBiz Berlin 2012
 
 2012-02-11 About
 
 Microdata, semantic markup for both RDFers and non-RDFers - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Microdata
 
 2011-06-10 About
 
 Schema.org - Threat or Opportunity? - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Microdata
 schema.org
 
 2011-06-07 About
 
 Dynamic Semantic Publishing for any Blog (Part 2: Linked ReadWriteWeb) - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Dynamic Semantic Publishing
 
 2010-08-20 About
 
 Linked Data Entity Extraction with Zemanta and OpenCalais - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Calais
 Entity linking
 Linked Data
 Zemanta
 
 2010-08-12 About
 
 Dynamic Semantic Publishing for any Blog (Part 1) - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Dynamic Semantic Publishing
 
 2010-08-12 About
 
 SKOS + DC + Linked Data = Semantic Tagging? - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Linked Data
 Semanlink related
 Semantic tagging
 SKOS
 
 2009-08-27 About
 
 CommonTag too complicated? - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Common Tag
 
 2009-06-15 About
 
 "Getting Real" with RDF and SPARQL
 
 Tags:
 
 Benjamin Nowack
 Semantic Web Dev
 Web dev
 
 "Getting Real" is an agile approach to web application development. This article explains how it can be successfully combined with the flexibility of semantic web technologies.
 
 2008-09-25 About
 
 Semantic Web by Example: Semantic CrunchBase - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 SPARQL
 
 2008-08-01 About
 
 SPARQLScript - Semantic Mashups made easy - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 Semantic mashups
 SPARQL
 
 2008-07-17 About
 
 Easy RDF and SPARQL for LAMP systems - ARC RDF Classes for PHP
 
 Tags:
 
 Benjamin Nowack
 PHP
 RDF dev
 
 2008-02-04 About
 
 Grawiki - A Wiki (and aggregator) for graph-shaped data - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 SPARQL
 To see
 Wiki
 
 Grawiki is a SPARQL-based Data Wiki, a little bit inspired by freebase, less impressive, feature-rich, scalable and all that, but, well, OpenSource, SemWeb-enabled, and decentralized (each Grawiki installation can import selected graphs from other ones, back-POSTing is in the works). As it seems that I forgot to write-protect the instance mentioned above, you can play with it if you like. You'll most probably encounter bugs, the built-in inferencer is still at alpha stage, and editing of consolidated bnodes is quite tricky to implement. I'll tweak things in a day or two. With Grawiki, I think I finally have (the start of) a tool that could work nicely for ad-hoc RDF editing and aggregation (it can import RDF and certain microformats). Oh, and a personal URI, and a FOAF file. At last ;-)
 
 2008-01-25 About
 
 DriftR Linked Data Browser and Editor (Screencast) - benjamin nowack's blog
 
 Tags:
 
 Benjamin Nowack
 RDF browser
 RDF editor
 
 2007-12-31 About
 
 SPARQL Clipboard Demo
 
 Tags:
 
 Benjamin Nowack
 SPARQL Clipboard
 
 2006-06-08 About
 - Bernard Vatant
 (LOV) Linked Open Vocabularies
 VOAF
 
 Re: Sustainable Codes vs Volatile URIs Re: URIs / Ontology for Physical Units and Quantities from Peter Krauss on 2015-05-07 (public-vocabs@w3.org from May 2015)
 
 Tags:
 
 Bernard Vatant
 Ontologies
 public-vocabs@w3.org
 URI
 
 2015-05-07 5:36 GMT-03:00 Bernard Vatant <bernard.vatant@mondeca.com>: > (...) But to put in bluntly, in many cases, well-maintained codes for > standardized identities (languages, countries, towns, units ...) are more > sustainable ways to share identities than URIs,
 
 2015-05-11 About
 
 What's happening to http://vocab.deri.ie/ ? http://vocab.deri.ie/void for…
 
 Tags:
 
 Bernard Vatant
 DERI
 fps' post
 Linked Data
 SW is flawed
 URI
 
 vocab.deri.ie is down again. Relying on URIs to identify things turns out to be very flimsy. URIs are not cool. As it is, the sem web / web of linked data is flawed. We need a way to identify things that do not depend on one person or one organization.
 
 2015-04-29 About
 
 schema:domain / Re: Official OWL version outdated from Bernard Vatant on 2013-05-13 (public-vocabs@w3.org from May 2013)
 
 Tags:
 
 Bernard Vatant
 public-vocabs@w3.org
 
 2013-07-07 About
 
 Un moteur de transformation RDF basé sur SPARQL (2) « Leçons de Choses
 
 Tags:
 
 Bernard Vatant
 SKOS
 SPARQL Construct
 
 2008-08-27 About
 
 [Linking-open-data] Fw: linking geonames concepts to wikipedia and other concept
 
 Tags:
 
 Bernard Vatant
 dbpedia
 Linked Data
 Richard Cyganiak
 Semantics of skos:Concept
 
 2008-05-15 About
 - Bernhard Haslhofer
 
 Using SKOS vocabularies for improving Web Search
 
 Tags:
 
 Bernhard Haslhofer
 SKOS
 Web search
 WWW 2013
 
 2013-05-30 About
 - Bertrand Sajus
 
 HdA Lab
 
 Tags:
 
 Alexandre Monnin
 Bertrand Sajus
 Culture et sem web
 Histoire de l'art
 LOD use case
 Patrimoine
 
 Explorez autrement le portail Histoire des Arts
 
 2012-10-09 About
 - Bijan Parsia
 
 ESWC2007_SPARQL_Tutorial.pdf
 
 Tags:
 
 Andy Seaborne
 Axel Polleres
 Bijan Parsia
 SPARQL
 
 2010-12-15 About
 
 Thinking Clearly» Understanding SWRL (Part 2): DL Safety
 
 Tags:
 
 Bijan Parsia
 SWRL
 
 2007-08-27 About
 
 Thinking Clearly» Understanding SWRL (Part 1)
 
 Tags:
 
 Bijan Parsia
 SWRL
 
 SWRL is something of a de facto standard for extending OWL with rules with DL Safe SWRL rules (as I shall canonically call them) being the most commonly implemented varient.
 
 2007-08-23 About
 - Bob DuCharme
 
 Calling your own JavaScript functions from SPARQL queries
 
 Tags:
 
 Bob DuCharme
 JavaScript
 Jena
 SPARQL
 
 2021-06-07 About
 
 Pulling Turtle RDF triples from the Google Knowledge Graph
 
 Tags:
 
 Bob DuCharme
 Google Knowledge Graph
 
 2021-03-30 About
 
 Document analysis with machine learning
 
 Tags:
 
 Bob DuCharme
 Document embeddings
 Flair
 
 2019-10-28 About
 
 Querying machine learning distributional semantics with SPARQL - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Distributional semantics
 SPARQL
 
 2019-01-29 About
 
 Validating RDF data with SHACL - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SHACL
 
 2017-08-21 About
 
 The W3C standard constraint language for RDF: SHACL - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SHACL
 
 2017-08-15 About
 
 Dropping OPTIONAL blocks from SPARQL CONSTRUCT queries - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL perfs
 SPARQL Tips
 
 2016-01-25 About
 
 Storing and querying RDF in Neo4j - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Neo4j
 TripleStore
 
 2015-01-19 About
 
 R (and SPARQL), part 1 - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 R
 SPARQL
 
 <a href="http://www.snee.com/bobdc.blog/2015/01/r-and-sparql-part-2.html">part 2</a>
 
 2015-01-13 About
 
 Hadoop:What it is and how people use it: my own summary. bobdc.blog
 
 Tags:
 
 Big data & semantic web
 Big Data Tools
 Bob DuCharme
 Hadoop
 
 2014-12-18 About
 
 Querying my own MP3, image, and other file metadata with SPARQL - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Desktop search
 SPARQL
 Ubuntu
 
 2014-02-18 About
 
 Using SPARQL queries from native Android apps - bobdc.blog
 
 Tags:
 
 Android
 Bob DuCharme
 SPARQL
 
 2013-11-28 About
 
 Using VALUES to map values in a SPARQL query - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL
 
 2013-07-11 About
 
 A nineteenth-century linking application - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Justice
 
 2013-05-07 About
 
 Appreciating SPARQL property paths more - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL 1.1
 
 2013-04-27 About
 
 Normalizing company names with SPARQL and DBpedia - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 dbpedia
 SPARQL Tips
 
 2012-12-09 About
 
 Pull RDF metadata out of JPEGs, MP3s, and more - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 
 2012-03-10 About
 
 Displaying SPARQL results on a mobile phone - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Smartphone
 SPARQL
 XSLT
 
 2011-10-05 About
 
 Improve your taxonomy management using the W3C SKOS standard
 
 Tags:
 
 Bob DuCharme
 IBM developerWorks
 SKOS
 
 2011-05-12 About
 
 Automated RDFa Output from DITA Open Toolkit - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 DITA
 RDFa
 
 2011-02-15 About
 
 Using RDFa with DITA and DocBook
 
 Tags:
 
 Bob DuCharme
 DITA
 RDFa
 
 2011-02-15 About
 
 What SKOS-XL adds to SKOS - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SKOS
 
 2011-02-08 About
 
 Integrate disparate data sources with Semantic Web technology
 
 Tags:
 
 Bob DuCharme
 Business intelligence
 Excel and SW
 Howto
 IBM developerWorks
 
 Different sets of RDF data are much easier to combine than different sets of data in other common formats. You can easily convert disparate non-RDF data sets to RDF and then combine them to create new content. In this article, learn how to integrate spreadsheet data, CSV data from a web service, and fielded data from a website into a single report.
 
 2010-09-30 About
 
 Fallback with SPARQL - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL 1.1
 SPARQL Tips
 
 2010-09-22 About
 
 Trying SPARQL 1.1 new query features with ARQ - bobdc.blog
 
 Tags:
 
 ARQ
 Bob DuCharme
 SPARQL 1.1
 
 2010-08-20 About
 
 Converting CSV to RDF - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 CSV
 N3
 Tips
 
 2010-08-12 About
 
 Replace Facebook with FOAF + twitter + ? - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Facebook
 foaf
 Twitter
 
 2010-06-23 About
 
 RESTful SPARQL queries of RDFa - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 RDFa
 SPARQL
 
 I can say "extract the RDF triples from the RDFa on that web page and then run this SPARQL query against it" all with a single URL.
 
 2010-06-04 About
 
 Federated SPARQL queries - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL AND Jena
 
 2010-01-20 About
 
 A rules language for RDF - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Rules language
 SPARQL Construct
 
 2009-11-12 About
 
 Appreciating SPARQL CONSTRUCT more - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL Construct
 
 2009-09-23 About
 
 SearchMonkey and RDFa - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 RDFa
 SearchMonkey
 
 2009-06-15 About
 
 "Semantic Web for the Working Ontologist" - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 OWL
 Semantic Web and OOP
 
 2009-05-28 About
 
 Querying a set of named RDF graphs without naming the graphs - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Named Graphs
 SPARQL Tips
 
 2009-03-31 About
 
 Getting started using Virtuoso as a triplestore - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 TripleStore
 Virtuoso
 
 2009-03-03 About
 
 Getting started with Sesame - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Sesame
 
 2009-02-13 About
 
 Relational database integration with RDF/OWL
 
 Tags:
 
 Bob DuCharme
 D2RQ
 Database to RDF mapping
 
 2009-02-07 About
 
 Semantic Web project ideas number 2 (CRM) - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Semantic Web: CRM
 
 2009-01-15 About
 
 Semantic Web project ideas number 3 - (ERP) bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Semantic Web: CRM
 
 2009-01-15 About
 
 Download SPARQL results directly into a spreadsheet - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SPARQL
 Spreadsheets
 
 2008-10-30 About
 
 SKOS and SWOOP: how - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 SKOS
 
 2008-08-12 About
 
 Relational Database Integration with RDF/OWL
 
 Tags:
 
 Bob DuCharme
 OWL
 Semantic Web: databases
 
 Using the W3C OWL ontology standard lets you get more out of all kinds of data. Find out how this standard and some free software lets you query two databases as if they were one. The primary goal of this article is to put together a demonstration of how you can use OWL to integrate two relational databases, and then perform queries against the aggregate collection to answer realistic questions that you could not answer without the addition of an OWL ontology.
 
 2008-08-01 About
 
 Relational database integration with RDF/OWL
 
 Tags:
 
 Bob DuCharme
 D2RQ
 Oracle
 TripleStore
 
 2008-06-04 About
 
 RDF and social networks - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 QOTD
 RDF and social networks
 RDF vs XML
 
 Defining a vocabulary instead of a DTD is the low-hanging fruit... It doesn't reduce the work to do by simplifying it, but by reducing the scope: by forgetting about the data structures.
 
 2008-04-07 About
 
 bobdc.blog: Some great W3C explanations of basic ontology concepts
 
 Tags:
 
 Bob DuCharme
 Ontologies
 OWL: Introduction
 
 2007-08-06 About
 - Brinxmat
 
 JSON-LD, currently… | Brinxmat's blog
 
 Tags:
 
 Brinxmat
 JSON-LD
 
 2016-04-09 About
 
 So I created workable JSON-LD | Brinxmat's blog
 
 Tags:
 
 Brinxmat
 JSON-LD
 
 2016-04-09 About
 
 RDF, it’s difficult, nasty, horrible and I hate it | Brinxmat's blog
 
 Tags:
 
 About RDF
 Brinxmat
 
 Now, as long as you have a fixed view of what you want to know (title, author, creation date,…), then RDF is largely pointless, please use whichever row/column-oriented tool you choose. As soon as you’re unsure about the structure of your data, use RDF.
 
 2016-04-09 About
 
 Creating functional linked-data solutions | Brinxmat's blog
 
 Tags:
 
 Brinxmat
 Linked Data
 
 2016-04-09 About
 
 An unusually sensible post about RDF | Brinxmat's blog
 
 Tags:
 
 About RDF
 Brinxmat
 
 RDF is good for data models, it’s good for data structures and transformations; it isn’t good for working with values. People don’t want a data model, they want values. This is a shame. The RDF stack doesn’t provide a replacement for a database.
 
 2016-04-09 About
 - Chris Bizer
 D2RQ
 Disco Hyperdata Browser
 NG4J
 Pubby
 Semantic Web Client Library
 
 LOD2 Plenary and Open Data Meet-up in Mannheim
 
 Tags:
 
 Chris Bizer
 LOD2
 Orri Erling
 
 2014-02-27 About
 
 Web Data Commons
 
 Tags:
 
 Chris Bizer
 HTML Data
 
 More and more websites have started to embed structured data describing products, people, organizations, places, events into their HTML pages using markup standards such as RDFa, Microdata and Microformats. The Web Data Commons project extracts this data from several billion web pages. The project provides the extracted data for download and publishes statistics about the deployment of the different formats.
 
 2013-07-06 About
 
 Linked Data: Evolving the Web into a Global Data Space
 
 Tags:
 
 Chris Bizer
 Howto
 Linked Data
 Tom Heath
 Web of data
 
 Superseds the <a href="http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/">paper</a> by C. Bizer, T. Heath and cygri
 
 2012-11-22 About
 
 Linked Data - The Story So Far
 
 Tags:
 
 Chris Bizer
 Linked Data
 Tim Berners-Lee
 Tom Heath
 
 2011-03-08 About
 
 ESWC2008 Conference Data
 
 Tags:
 
 Chris Bizer
 ESWC
 Linked Data
 Richard Cyganiak
 
 This page provides an overview about different access mechanisms to the RDF dataset about the 5th European Semantic Web Conference (ESWC2008) and explains how the dataset can be used within different Semantic Web applications.
 
 2008-05-29 About
 
 [Linking-open-data] Returning to backlinks - Additional requirement: Paging
 
 Tags:
 
 Chris Bizer
 Linked Data
 LOD: Limitations on browseable data
 
 2007-09-19 About
 
 How to publish Linked Data on the Web?
 
 Tags:
 
 Chris Bizer
 Linked Data
 Richard Cyganiak
 Tom Heath
 
 2007-07-12 About
 
 How to publish Linked Data on the Web?
 
 Tags:
 
 Chris Bizer
 Howto
 Linked Data
 Richard Cyganiak
 Tom Heath
 
 2007-06-27 About
 
 [Linking-open-data] synonym URIs
 
 Tags:
 
 Chris Bizer
 Synonym URIs
 
 2007-06-13 About
 
 Turning the Web into a Database
 
 Tags:
 
 Chris Bizer
 Linked Data
 Slides
 
 2007-04-19 About
 
 RDF Book Mashup
 
 Tags:
 
 Chris Bizer
 Linked Data
 Livre
 
 Serving RDF descriptions of your books. The RDF book mashup demonstrates how Web 2.0 data sources like Amazon, Google or Yahoo can be integrated into the Semantic Web.
 
 2007-04-14 About
 
 D2R Server publishing the DBLP Bibliography as Linked Data (Semantic Web grows 10%) from Chris Bizer
 
 Tags:
 
 Chris Bizer
 RDF Data source
 semantic-web@w3.org
 
 2007-01-09 About
 - Christine Golbreich
 
 UserRequirements - owl1-1 - Google Code
 
 Tags:
 
 Christine Golbreich
 OWL 1.1
 OWLED
 
 Home page de la task force animée par Christine Golbreich
 
 2008-01-08 About
 - Damian Steer
 
 shellac/java-rdfa ; github (Damian Steer)
 
 Tags:
 
 Damian Steer
 RDFa parser
 
 "The cruftiest RDFa parser in the world, I'll bet." (sic)
 
 2013-07-05 About
 - Dan Brickley
 - Dan Connolly
 
 Map and Territory in RDF APIs
 
 Tags:
 
 Dan Connolly
 Map–territory relation
 RDF
 Scala
 
 2010-04-28 About
 
 The SPARQL Service Interface
 
 Tags:
 
 Dan Connolly
 SPARQL
 
 2008-10-12 About
 
 Linked Data at WWW2007: GRDDL, SPARQL, and Wikipedia, oh my!
 
 Tags:
 
 Dan Connolly
 GRDDL
 Linked Data
 SPARQL
 
 2007-05-19 About
 
 Practical Semantic Web Deployment with Microformats and GRDDL (1)
 
 Tags:
 
 Dan Connolly
 GRDDL
 Microformats
 Semantic Web
 
 2006-03-08 About
 
 Delta: an ontology for the distribution of differences between RDF graphs
 
 Tags:
 
 Dan Connolly
 Dev
 RDF graphs
 Tim Berners-Lee
 
 2005-12-16 About
 - Danny Ayers
 
 Life on the Ocean Wave
 
 Tags:
 
 Conway's Game of Life
 Danny Ayers
 JavaScript
 
 2015-11-30 About
 
 Hack Your Life With A Private Wiki Notebook Getting Things Done And Other Systems - WebSeitz/wiki
 
 Tags:
 
 Danny Ayers
 Private wiki
 
 2015-03-15 About
 
 FooWiki - danja
 
 Tags:
 
 Danny Ayers
 
 2015-02-09 About
 
 Browser + SPARQL Server = Wiki | Danny Ayers' Other Alternate Weblog
 
 Tags:
 
 Danny Ayers
 SPARQL
 SPARQL en javascript
 Wiki
 
 2014-12-30 About
 
 danja/seki
 
 Tags:
 
 Danny Ayers
 node.js
 Semantic CMS
 SPARQL
 
 Seki is a front-end to an independent SPARQL server using node.js
 
 2013-08-31 About
 
 Danny on : Everyone has a Graph Store
 
 Tags:
 
 Danny Ayers
 
 2012-03-01 About
 
 Danny Ayers - Google+ - I've knocked together a serializer for Jena to the minimal…
 
 Tags:
 
 Danny Ayers
 Jena
 RDF-in-JSON
 
 2012-02-20 About
 
 WorkFlowy - Organize your brain.
 
 Tags:
 
 Danny Ayers
 Organizer
 Web tools
 
 2012-01-17 About
 
 A Role Model of Consciousness
 
 Tags:
 
 Consciousness
 Danny Ayers
 
 2011-10-18 About
 
 RDF store for use with node.js?
 
 Tags:
 
 Danny Ayers
 node.js
 TripleStore
 
 2011-09-13 About
 
 Data-Oriented Web Browser
 
 Tags:
 
 Danny Ayers
 RDF browser
 
 2011-08-28 About
 
 Sitemaps notes - Danny Ayers : Raw Blog
 
 Tags:
 
 Danny Ayers
 Sitemaps
 
 2011-07-25 About
 
 httpRange-14 Reflux - Danny Ayers : Raw Blog
 
 Tags:
 
 Danny Ayers
 httpRange-14
 Microdata
 
 you can't squeeze a dog over the wire with HTTP, but that's just a limitation of the protocol
 
 2011-06-15 About
 
 tagliatelle delicious RDFizer
 
 Tags:
 
 Danny Ayers
 del.icio.us
 Semanlink related
 Tag ontology
 Talis platform
 
 Takes all your bookmarks from del.icio.us, converts to RDF (using Tag Ontology), pushes into a Talis Platform store
 
 2009-04-11 About
 
 Nodalities: Google App Engine and the Joy of WebArch
 
 Tags:
 
 Danny Ayers
 Google App Engine
 Talis platform
 
 2008-04-14 About
 
 You Tube - DataPortability and Me (Get Your Data Out!)
 
 Tags:
 
 Danny Ayers
 DataPortability
 Fun
 Rock
 
 2008-04-01 About
 
 Another RDF Syntax! (URI-embedded RDF)
 
 Tags:
 
 Danny Ayers
 Identifying triples
 RDF Net API
 
 Let a URI constructed like this: URIbase/ars?s=encodedURIs&p=encodedURIp&o=encodedURIo identify the statement: URIs URIp URIo
 
 2007-12-31 About
 
 nissaba - paleolitische en neolithische vrouwenbeeldjes
 
 Tags:
 
 Danny Ayers
 Néolithique
 Paléolithique
 Vénus préhistoriques
 
 2007-11-21 About
 
 GRDDL Quick reference card
 
 Tags:
 
 Danny Ayers
 GRDDL
 
 2007-07-17 About
 
 Nodalities: GRDDL Specifications (and Quick Reference)
 
 Tags:
 
 Danny Ayers
 GRDDL
 
 2007-07-17 About
 
 Using those profiles
 
 Tags:
 
 Danny Ayers
 Personal-information management
 Semanlink related
 
 As an individual, if I could capture the information that's flowing through my del.icio.us plus Flickr, Bloglines, Google Calendar, Amazon Wishlist even... plus LinkedIn etc - together with my own blog, personal notetaking/wiki/code repository, todo lists, plans etc, and integrate all this in a triplestore, and front it with some kind of Planet/Longwell hybrid (with a little bit of access control), it would be a hugely useful personal knowledge management system.
 
 2007-04-03 About
 
 Online SPARQL Editor
 
 Tags:
 
 Danny Ayers
 SPARQL
 
 2007-01-09 About
 
 Javascript SPARQL editor
 
 Tags:
 
 Danny Ayers
 JavaScript
 SPARQL
 
 sparql-editor - a simple, single-file HTML form/textarea/Javascript based SPARQL editor. Do what thou wilt (public domain). Only tested on Firefox.
 
 2006-10-09 About
 
 The Semantic Web Revisited
 
 Tags:
 
 Danny Ayers
 Tagging
 
 highlights the overlaps between folksonomies and ontologies
 
 2006-07-13 About
 
 Hey LazyWeb! : Live Clipboard and Timeline
 
 Tags:
 
 Danny Ayers
 Live Clipboard
 SIMILE Timeline
 
 2006-07-12 About
 
 Personal Gnowledge
 
 Tags:
 
 Danny Ayers
 gnowsis
 
 "one particular thing I believe they've got strongly right" (the notion that the individual user of the system will have their own personal ontology, derived from a handful of base terms.) The user creates describing properties on the go. If a new property is needed, it is instantly created. There is no strong domain/range typing, if the user wants to use the property in an "unintended" way, the user is always right to do so.
 
 2006-05-06 About
 
 Jena User Conference - programme up
 
 Tags:
 
 Danny Ayers
 Jena User Conference
 
 2006-04-13 About
 
 Decent outliner still wanted
 
 Tags:
 
 Danny Ayers
 Outliner
 Semanlink related
 
 "Until recently I'd drop little notes into a local Wiki (or this blog), but my Wiki's got to the stage where it needs a lot of gardening, so I've reverted to mostly text notes (Aquamacs emacs). What's lacking is the ability to tag/file these in a useful fashion (to get the benefit of SemWeb tech)."
 
 2006-04-12 About
 
 Danny Ayers, Raw Blog : » RDF.net : Challenged!
 
 Tags:
 
 Danny Ayers
 Piggy Bank
 Tim Bray
 
 2005-11-01 About
 
 Danny Ayers, Raw Blog : » Yet Another RSS History
 
 Tags:
 
 Danny Ayers
 Rigolo
 RSS
 
 2005-10-25 About
 - Dave Reynolds
 
 The RDF Data Cube Vocabulary
 
 Tags:
 
 Dave Reynolds
 Jeni Tennison
 Richard Cyganiak
 SDMX
 Statistical data
 
 2013-12-22 About
 
 Semai » Blog Archive » OWL 2 for RDF vocabularies
 
 Tags:
 
 Dave Reynolds
 OWL 2
 RDF Vocabularies
 
 2011-07-17 About
 - David Beckett
 Turtle
 
 Turtle - Terse RDF Triple Language
 
 Tags:
 
 David Beckett
 Turtle
 
 2008-04-08 About
 
 SPARQL Reference Card
 
 Tags:
 
 David Beckett
 SPARQL
 
 2008-04-08 About
 
 Dave Beckett - Journalblog
 
 Tags:
 
 David Beckett
 
 2008-04-08 About
 
 XTech 2007: without the X - the return of {{Textual}} markup
 
 Tags:
 
 David Beckett
 JSON
 RDF
 RDF-in-JSON
 Turtle
 XTech 2007
 
 This paper discusses textual formats as a trend using a case study of the Turtle RDF Syntax developed by the author and using developing a new JSON textual format for RDF as an example of the tradeoffs that need to be considered.
 
 2007-05-18 About
 
 XTech 2006: Semantics Through the Tag
 
 Tags:
 
 A suivre
 David Beckett
 RDF
 Tagging
 XTech 2006
 
 This paper will discuss how tagging can be separated from the services that provide them, allowing use of tags as separate entities. This separation will use a mapping of tags to and from RDF, showing how the context of tags (who, where, when made them) can be represented and preserved. There are multiple choices for modelling tags in this way which will be discussed along with their benefits and some of the unusual uses of tags will be considered as well as the different way that existing tagging services use tagging differently. The paper will also discuss methods of how to find the meaning of a tag – going from a tag to something a human can understand as a description, which may be evolving – in a decentralized, web friendly way. Without the use of ontologies!
 
 2006-04-24 About
 - David Peterson
 
 Obama’s Groundbreaking use of the Semantic Web
 
 Tags:
 
 David Peterson
 Obama
 Semantic Web
 
 2009-03-31 About
 
 SitePoint Blogs » WWW2008 Beijing: Day 1 - Linked Data on the Web (LDOW 2008) Workshop
 
 Tags:
 
 David Peterson
 LDOW2008
 Tabulator
 Tim Berners-Lee
 
 2008-05-04 About
 - Dean Allemang
 - Denny Vrandečić
 
 KGC23 Keynote: The Future of Knowledge Graphs in a World of LLMs — Denny Vrandečić, Wikimedia - YouTube
 
 Tags:
 
 Denny Vrandečić
 LLM + KG
 The Knowledge Graph Conference
 Wikimedia
 YouTube video
 
 2024-03-07 About
 
 Abstract Wikipedia/July 2020 announcement
 
 Tags:
 
 Denny Vrandečić
 Wikipedia
 
 2020-07-03 About
 
 Knowledge Graph Technology and Applications 2019 - Simia
 
 Tags:
 
 Denny Vrandečić
 Knowledge Graphs
 TheWebConf 2019
 
 2019-05-23 About
 
 Knowledge Graph Conference 2019, Day 1 - Simia
 
 Tags:
 
 Denny Vrandečić
 Knowledge Graph Conference 2019
 
 2019-05-09 About
 
 How much information is in a language? - Simia
 
 Tags:
 
 Denny Vrandečić
 How much information in a language?
 
 2019-04-16 About
 
 Capturing meaning: Toward an abstract Wikipedia (ISWC 2018)
 
 Tags:
 
 Denny Vrandečić
 ISWC
 Wikipedia
 
 2018-10-16 About
 
 Words and what not: #Wikidata & #Freebase - an #interview with Denny Vrandečić
 
 Tags:
 
 Denny Vrandečić
 Freebase
 Wikidata
 
 2013-11-21 About
 
 Wikidata Map Interface
 
 Tags:
 
 Denny Vrandečić
 Wikidata
 
 2013-07-12 About
 
 Wikidata presentation at SemTechBiz Berlin 2012
 
 Tags:
 
 Denny Vrandečić
 SemTechBiz Berlin 2012
 Wikidata
 
 2013-07-10 About
 - Emmanuelle Bernes
 
 Le droit de ReLIRE | Figoblog
 
 Tags:
 
 BNF
 Droit d'auteur
 Emmanuelle Bernes
 Loi sur les oeuvres indisponibles
 
 2013-03-23 About
 - Fabien Gandon
 
 Matching and mining in knowledge graphs of the Web of data Applications in pharmacogenomics
 
 Tags:
 
 Fabien Gandon
 Knowledge Graphs
 PhD Thesis
 
 2021-06-10 About
 
 Discovery Hub: on-the-fly linked data exploratory search
 
 Tags:
 
 Fabien Gandon
 Linked Data Exploration
 Slides
 
 2013-09-07 About
 
 Nice Tag ontology
 
 Tags:
 
 Fabien Gandon
 Ontologies
 Tag ontology
 
 2013-08-09 About
 
 An introduction to semantic web and linked data
 
 Tags:
 
 Fabien Gandon
 Semantic Web : introduction
 WWW 2013
 
 2013-05-14 About
 - François Scharffe
 
 François Scharffe sur Twitter : "Exciting developments for query answering over graph neural networks" / Twitter
 
 Tags:
 
 François Scharffe
 Graph neural networks
 Tweet
 
 2022-08-23 About
 
 The complexity to construct knowledge graphs and how low code tools can help or hurt you | Medium
 
 Tags:
 
 François Scharffe
 Knowledge Graph Construction
 Knowledge Graphs
 
 2021-01-30 About
 
 open-knowledge-embeddings.pdf - (2019)
 
 Tags:
 
 François Scharffe
 Knowledge Graph Embeddings
 
 2019-04-29 About
 
 Federated KBs at AKBC2019
 
 Tags:
 
 François Scharffe
 Guha
 Knowledge Graphs
 
 2019-04-29 About
 
 word2vec-api
 
 Tags:
 
 François Scharffe
 gensim
 GitHub project
 Word2vec
 
 Simple web service providing a word embedding API. The methods are based on Gensim Word2Vec implementation. List of word2vec datasets
 
 2017-06-09 About
 
 EDOAL: Expressive and Declarative Ontology Alignment Language
 
 Tags:
 
 François Scharffe
 Ontology Mapping
 
 2012-11-10 About
 - Frank van Harmelen
 
 Frank van Harmelen sur X : "...GenAI is rapidly becoming the best motivation for symbolic AI in a long time!"
 
 Tags:
 
 Andrew Ng
 Frank van Harmelen
 LLM + KG
 
 2024-03-15 About
 - Frederick Giasson
 KBPedia
 
 Disambiguating KBpedia Knowledge Graph Concepts
 
 Tags:
 
 DeepWalk
 Entity Disambiguation
 KBPedia
 
 2020-05-03 About
 
 Cognonto - Data. Structure. Meaning.
 
 Tags:
 
 KBPedia
 
 Cognonto is an IT consulting boutique specializing in semantic technologies, knowledge graphs, and knowledge-based artificial intelligence. Developers of [KBpedia](https://kbpedia.org).
 
 2020-05-03 About
 
 OpenStructs
 
 Create a Domain Text Classifier Using Cognonto | Frederick Giasson
 
 Tags:
 
 Frederick Giasson
 Text Classification
 
 2016-10-25 About
 
 Using Cognonto to Generate Domain Specific word2vec Models | Frederick Giasson
 
 Tags:
 
 Frederick Giasson
 Word2vec
 
 creating domain-specific training corpuses to use with word2vec can have a dramatic impact on the results and how results can be much more meaningful within the scope of that domain. Another advantage of the domain-specific training corpuses is that they create much smaller models.
 
 2016-09-29 About
 
 RDF for Solr: Possible implementation strategies
 
 Tags:
 
 Drupal/RDF
 Frederick Giasson
 Solr + RDF
 
 2015-03-06 About
 
 New UMBEL Concept Noun Tagger Web Service & Other Improvements at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Umbel
 
 2014-07-28 About
 
 RDF Aggregates and Full Text Search on Steroids with Solr at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 OpenStructs
 Solr
 Solr + RDF
 
 2012-05-10 About
 
 Volkswagen’s RDF Data Management Workflow at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 OpenStructs
 Volkswagen
 
 2011-10-12 About
 
 Volkswagen’s Use of structWSF in their Semantic Web Platform at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Semantic Web Platform
 Volkswagen
 
 2011-09-23 About
 
 OpenStructs | Open source data structs and semantic frameworks
 
 Tags:
 
 Frederick Giasson
 Open Source
 Semantic framework
 
 2011-09-20 About
 
 Semantic Components at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Semantic Components
 
 A semantic component is an ontology-driven component, or widget, based on Flex
 
 2010-07-08 About
 
 Converting your WordPress and Mediawiki data into RDF on-the-fly at Frederick Giasson’s Weblog
 
 Tags:
 
 Converting data into RDF
 Frederick Giasson
 Virtuoso
 WordPress
 
 This blog post will show you how we can do the same with your WordPress blog and your Mediawiki wiki using Virtuoso RDF Views.
 
 2010-05-21 About
 
 Starting to Play with the UMBEL Ontology at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Umbel
 
 2008-07-17 About
 
 Bibliographic Ontology Specification
 
 Tags:
 
 Frederick Giasson
 Ontologies
 
 2008-06-04 About
 
 Exploding the Domain: UMBEL Web Services by Zitgist at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Umbel
 Zitgist
 
 2008-04-25 About
 
 Zitgist DataViewer at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Zitgist
 
 2007-12-08 About
 
 Frederick Giasson’s Weblog » Turbocharge your Links with zLinks
 
 Tags:
 
 Frederick Giasson
 
 2007-10-31 About
 
 Music Ontology Specification
 
 Tags:
 
 Frederick Giasson
 Musique
 Ontologies
 Yves Raymond
 
 2007-09-27 About
 
 Zitgist’s RDF Browser: Browse the Semantic Web at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 RDF Templating
 Zitgist
 
 2007-06-22 About
 
 Zotero - The Next-Generation Research Tool
 
 Tags:
 
 Firefox extension
 Frederick Giasson
 Zotero
 
 Zotero [zoh-TAIR-oh] is a free, easy-to-use Firefox extension to help you collect, manage, and cite your research sources. It lives right where you do your work — in the web browser itself.
 
 2007-06-09 About
 
 My Personal Library and the Semantic Web at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Good
 Hypercard
 Linked Data
 Livre
 
 2007-06-08 About
 
 The Music Data Space at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 Linked Data
 MusicBrainz
 Musique
 
 2007-05-31 About
 
 Free text search on Musicbrainz literals using Virtuoso RDF Views at Frederick Giasson’s Weblog
 
 Tags:
 
 Frederick Giasson
 MusicBrainz
 
 2007-05-23 About
 
 Browsing Musicbrainz’s dataset via URI dereferencing at Frederick Giasson’s Weblog
 
 Tags:
 
 fps' post
 Frederick Giasson
 MusicBrainz
 
 2007-05-23 About
 
 Ping the Semantic Web.com - Share your RDF data with the World!
 
 Tags:
 
 Frederick Giasson
 Linked Data
 RDF Service
 
 2007-04-25 About
 - Gautier Poupeau
 Les petites cases
 
 Bilan de 15 ans de réflexion sur la gestion des données numériques | Les petites cases
 
 Tags:
 
 Gautier Poupeau
 Les petites cases
 Semantic Web : critique
 
 l’interopérabilité n’est finalement pas une préoccupation des organisations
 
 2018-07-18 About
 
 Les musées en France
 
 Tags:
 
 Antidot
 Gautier Poupeau
 Musée
 
 2014-02-28 About
 
 Modules pour Drupal
 
 Tags:
 
 Drupal/RDF
 Gautier Poupeau
 
 2011-09-15 About
 
 Linked My Music
 
 Tags:
 
 Gautier Poupeau
 Linked Data
 Musique
 Semantic mashups
 
 2011-01-18 About
 
 Index of /semweblabs/semwebpro/rdfa
 
 Tags:
 
 Gautier Poupeau
 RDFa
 SemWeb Pro 2011
 
 2011-01-18 About
 
 Compte-rendu du premier Meetup Web Sémantique « Blog Antidot
 
 Tags:
 
 Christian Fauré
 Gautier Poupeau
 Meetup Web Sémantique
 
 2011-01-09 About
 
 Comment réconcilier le SI legacy et le Web par le Web sémantique ? - Les rencontres du Web de données (Paris) - Meetup
 
 Tags:
 
 Christian Fauré
 Gautier Poupeau
 Meetup Web Sémantique
 
 2010-12-01 About
 
 L’apport des technologies du Web sémantique à la gestion des données structurées
 
 Tags:
 
 Gautier Poupeau
 Relational Databases and the Semantic Web
 Semantic web: evangelization
 
 2009-04-06 About
 
 RDFaiser votre blog, 2ème partie : la pratique | Les petites cases
 
 Tags:
 
 Blog
 Gautier Poupeau
 Howto
 RDFa
 
 2008-05-20 About
 
 Dbpedia en action la suite | Les petites cases
 
 Tags:
 
 dbpedia
 Gautier Poupeau
 Google Maps
 SPARQL: sample code
 SPARQL Demo
 
 2008-05-19 About
 
 Amusons-nous avec RDFa | Les petites cases
 
 Tags:
 
 Gautier Poupeau
 RDFa
 
 Exemple d'utilisation de RDFa (lecture de liens vers dbPedia inclus dans la page)
 
 2007-05-30 About
 - Giovanni Tummarello
 sig.ma
 
 Supercharging Elasticsearch for extended Knowledge Graph use cases: Data science + business analytics training: Strata Data Conference
 
 Tags:
 
 ElasticSearch
 Giovanni Tummarello
 Knowledge Graphs
 
 2019-05-16 About
 
 An Entity Name System for Linking Semantic Web Data
 
 Tags:
 
 Giovanni Tummarello
 LDOW2008
 OKKAM
 
 The Semantic Web should provide a global space for the seamless integration of small knowledge bases (or local “semantic webs”) into a global, open, decentralized and scalable knowledge space. In this paper, we will try to defend the view that the practical realization of the grand vision of the Semantic Web as a huge graph of interlinked data would be much easier and faster if we could count on a service which, by analogy with the DNS, we call an Entity Name System (ENS), namely a service which stores and makes available for reuse URIs for any type of entity in a fully decentralized and open knowledge publication space.
 
 2008-04-05 About
 
 [Linking-open-data] ann: Semantic Web Pipes
 
 Tags:
 
 Giovanni Tummarello
 LOD mailing list
 
 2007-11-15 About
 - Guha
 Meta Content Framework
 
 connecting up to the MCF heritage
 
 Tags:
 
 Meta Content Framework
 
 2010-09-03 About
 
 Proverbes (site hyperSOLutions)
 
 Tags:
 
 hyperSOLutions
 Meta Content Framework
 Semanlink: archives
 
 Utilisation de Semanlink sur le site hyperSOLutions (datée 1998)
 
 2007-11-13 About
 
 TAP
 
 [1410.5859] Towards a Model Theory for Distributed Representations
 
 Tags:
 
 Arxiv Doc
 First-order logic
 Guha
 Knowledge Graph Embeddings
 NN / Symbolic AI hybridation
 
 > **We would like to have systems that are largely learnt, which we can also teach** > We believe that an essential step in bringing logic and distributed representations closer is to create a model theory based on embeddings. > despite our best attempts, terms and axioms in knowledge based systems end up having many of the characteristics of natural language -- LOL
 
 2021-06-10 About
 
 Federated KBs at AKBC2019
 
 Tags:
 
 François Scharffe
 Guha
 Knowledge Graphs
 
 2019-04-29 About
 
 Open Knowledge Network
 
 Tags:
 
 Guha
 Open Knowledge Network
 
 2017-10-21 About
 
 One Genius’ Lonely Crusade to Teach a Computer Common Sense | WIRED
 
 Tags:
 
 Artificial Intelligence
 Cyc
 Deep Learning
 Guha
 Knowledge-based AI
 
 2016-03-27 About
 
 Semantic Web and Schema.org
 
 Tags:
 
 Guha
 schema.org
 
 2014-09-05 About
 
 Where Schema.org Is At: A Chat With Google’s R.V. Guha - Semanticweb.com
 
 Tags:
 
 Guha
 schema.org
 
 about 15 percent of the pages we crawl have schema.org markup... over 5 million sites are using it.
 
 2013-11-15 About
 
 Re: SKOS for schema.org proposal for discussion from Guha on 2013-10-03 (public-vocabs@w3.org from October 2013)
 
 Tags:
 
 Guha
 public-vocabs@w3.org
 schema.org
 SKOS
 
 > Schema.org encourages the use of multiple vocabularies
 
 2013-10-05 About
 
 schema.org's position paper for the Open Data on the Web workshop
 
 Tags:
 
 Dan Brickley
 Guha
 schema.org
 Workshop
 
 2013-08-20 About
 
 schema blog: Good Relations and Schema.org
 
 Tags:
 
 GoodRelations
 Guha
 schema.org
 
 2013-02-15 About
 
 Official Google Webmaster Central Blog: Introducing Rich Snippets
 
 Tags:
 
 Google Rich Snippets
 Guha
 
 2009-05-13 About
 
 Semantic Negotiation: Co-identifying objects across data
 
 Tags:
 
 Guha
 Semantic Negotiation
 
 2008-01-19 About
 - Henri Bergius
 create.js
 
 Decoupling Content Management | DrupalCon Munich 2012
 
 Tags:
 
 Henri Bergius
 
 video at 16'50
 
 2012-09-04 About
 
 Using RDFa to make a web page editable - Henri Bergius
 
 Tags:
 
 Henri Bergius
 RDFa
 VIE Vienna IKS Editables
 
 2012-09-01 About
 
 Decoupling Content Management - Henri Bergius
 
 Tags:
 
 CMS
 Henri Bergius
 VIE Vienna IKS Editables
 
 2012-08-06 About
 
 Decoupling Content Management with CreateJS and VIE on Vimeo
 
 Tags:
 
 create.js
 Henri Bergius
 IKS Workshop Salzburg 2012
 VIE Vienna IKS Editables
 
 2012-07-12 About
 
 Build a CMS, no forms allowed
 
 Tags:
 
 CMS
 Forms
 Henri Bergius
 IKS Workshop Salzburg 2012
 
 2012-07-10 About
 
 Hallo.js - Editing Markdown in WYSIWYG
 
 Tags:
 
 Henri Bergius
 Interactive Knowledge Stack
 JavaScript
 
 2012-06-06 About
 
 bergie/noflo - GitHub
 
 Tags:
 
 Henri Bergius
 node.js
 
 NoFlo is a simple flow-based programming implementation for Node.js
 
 2012-02-28 About
 
 Create — A new kind of web editing interface
 
 Tags:
 
 create.js
 Henri Bergius
 Interactive Knowledge Stack
 jQuery
 
 Henri Bergius
 
 2012-02-07 About
 - Henry Story
 
 Backfeed | Decentralizing the Present
 
 Tags:
 
 Henry Story
 
 A Social Operating System for Decentralized Organizations
 
 2016-03-27 About
 
 Co-operating Systems
 
 Tags:
 
 Henry Story
 
 2015-12-31 About
 
 co-operating.systems
 
 Tags:
 
 Henry Story
 
 2015-10-18 About
 
 The Read-Write Secure Data Web, Henry Story at semwebpro 2014
 
 Tags:
 
 Henry Story
 Linked Data Platform
 Read-Write Linked Data
 Read-Write Secure Data Web
 
 2014-11-08 About
 
 forms, direction, query, etc … from Roger Menday on 2012-11-19 (public-ldp-wg@w3.org from November 2012)
 
 Tags:
 
 Henry Story
 RDF forms
 
 RDF forms based on SPARQL
 
 2014-09-11 About
 
 Temporal Relations (The Sun BabelFish Blog)
 
 Tags:
 
 Henry Story
 Time in RDF
 
 2012-11-14 About
 
 Sommer — Java.net
 
 Tags:
 
 Henry Story
 jersey/RDF
 
 Semantic Object (Medata) Mapper
 
 2012-03-29 About
 
 Web Finger proposals overview (The Sun BabelFish Blog)
 
 Tags:
 
 Henry Story
 RDF forms
 
 2012-03-01 About
 
 [#JENA-203] support for Non Blocking Parsers - ASF JIRA
 
 Tags:
 
 Henry Story
 Jena
 
 2012-02-02 About
 
 Serialising Java Objects to RDF with Jersey (The Sun BabelFish Blog)
 
 Tags:
 
 Henry Story
 jersey/RDF
 
 2011-08-19 About
 
 Foaf+ssl - ESW Wiki
 
 Tags:
 
 foaf+ssl
 Henry Story
 
 2011-01-18 About
 
 Search, Tagging and Wikis (2007)
 
 Tags:
 
 Henry Story
 Tagging
 
 2010-05-21 About
 
 Serialising Java Objects to RDF with Jersey
 
 Tags:
 
 Henry Story
 Java dev
 RDF
 RESTful Web Services
 
 Jersey is the reference implementation of JSR311 (JAX-RS) the Java API for RESTful Web Services. In short JSR311 makes it easy to publish graphs of Java Objects to the web, and implement update and POST semantics - all this using simple java annotations. It makes it easy for Java developers to do the right thing when writing data to the web.
 
 2010-05-12 About
 
 replacing email with atom and foaf+ssl
 
 Tags:
 
 ATOM (format)
 email
 foaf+ssl
 Henry Story
 
 2010-05-04 About
 
 [foaf-protocols] semantic pingback improvement request for foaf - Story Henry
 
 Tags:
 
 foaf
 Henry Story
 Semantic pingback
 
 2010-04-26 About
 
 Web Finger proposals overview
 
 Tags:
 
 Henry Story
 RDF forms
 
 2010-01-20 About
 
 The W3C Workshop on the Future of Social Networking Position Papers
 
 Tags:
 
 Henry Story
 Social Networks
 
 2009-01-18 About
 
 Building Secure, Open and Distributed Social Network Applications
 
 Tags:
 
 Cybersecurity
 Henry Story
 RDF and social networks
 Security
 
 2008-09-05 About
 
 RESTful Web Services: the book
 
 Tags:
 
 Henry Story
 RDF
 RESTful Web Services
 Semantic Web : introduction
 
 That's RDF for you. It's so simple I am able to explain it to people in bars within a minute. Here is an example, which says that my name is Henry: <http://bblfish.net/people/henry/card#me> <http://xmlns.com/foaf/0.1/name> "Henry Story". Click on the URLs and you will GET their meaning. Since resources can return any number of representations, different user agents can get the representation they prefer.
 
 2008-05-08 About
 
 All XML roads lead to RDF
 
 Tags:
 
 Henry Story
 RDF vs XML
 
 2008-05-08 About
 
 foaf enabling an enterprise
 
 Tags:
 
 foaf
 Henry Story
 Semantic Enterprise
 
 2008-05-08 About
 
 BOF-5911: Building a Web 3.0 Address Book
 
 Tags:
 
 Address Book
 DataPortability
 Henry Story
 RDF and social networks
 Social software
 
 2008-05-08 About
 
 KiWi: Knowledge in a Wiki
 
 Tags:
 
 Henry Story
 KIWI project
 
 2008-04-17 About
 
 Developing Web 3.0 - JavaOne
 
 Tags:
 
 Henry Story
 JavaOne
 Nova Spivak
 Semantic Camp Paris
 Slides
 Web 3.0
 
 2008-04-08 About
 
 Sketch of a simple authentication protocol
 
 Tags:
 
 Authentication
 Henry Story
 RDF and social networks
 
 2008-04-07 About
 
 SPARQLing AltaVista: the meaning of forms
 
 Tags:
 
 AltaVista
 Henry Story
 RDF forms
 SPARQL
 
 The AltaVista engineers developed a clever mapping between html forms and SPARQL queries.
 
 2007-08-23 About
 
 Restful semantic web services
 
 Tags:
 
 Henry Story
 RDF forms
 Restful semantic web services
 SPARQL
 
 2007-07-04 About
 
 The Sun BabelFish Blog: Aperture to the semantic desktop
 
 Tags:
 
 Henry Story
 Semantic Desktop
 Semantic indexing
 
 Aperture is an open source library and framework for crawling and indexing information sources such as file systems, websites and mail boxes. Aperture supports a number of common source types and document formats out-of-the-box and provides easy ways to extend it with custom implementations. Aperture does pretty much of what Apple's Spotlight does currently, except that it only works on the local file system. Just as with Apple's Spotlight, the crawled information can then be queried. But unlike Spotlight, it could be done using the much more powerful W3C standard SPARQL query language.
 
 2006-10-15 About
 
 REST without RDF is only half as bad as SOAP - The Sun BabelFish Blog
 
 Tags:
 
 ATOM (format)
 Henry Story
 Semantic Web Services vs SOAP
 
 2006-07-11 About
 - Hugh Glaser
 
 WebID Frustration from Hugh Glaser on 2013-08-06 (public-lod@w3.org from August 2013)
 
 Tags:
 
 Hugh Glaser
 public-lod@w3.org
 WebID
 
 2013-08-06 About
 
 Re: See Other from Hugh Glaser
 
 Tags:
 
 Facebook
 httpRange-14
 Hugh Glaser
 
 2012-04-12 About
 
 Re: Change Proposal for HttpRange-14 from Jeni Tennison
 
 Tags:
 
 httpRange-14
 Hugh Glaser
 Jeni Tennison
 
 2012-04-11 About
 
 sameas.org
 
 Tags:
 
 Hugh Glaser
 Linked Data Service
 
 The Web of Data has many equivalent URIs. This service helps you to find co-references between different data sets.
 
 2010-03-10 About
 
 Managing URI Synonymity to Enable Consistent Reference on the Semantic Web
 
 Tags:
 
 Hugh Glaser
 Synonym URIs
 URI Synonymity
 Web of data
 
 This paper sets out an architecture for managing URI equivalences on the Web of Data by using Consistent Reference Services. The underlying philosophy of the CRS is to treat URIs as first-class entities and separate the equivalences of a URI into a separate knowledge base that will be aware of both intra- repository and inter-repository synonymity. Equivalent URIs are grouped into bundles which are themselves given their own URI. When an application wishes to find an equivalent URI, the CRS can be queried to retrieve the corresponding bundle.
 
 2008-05-15 About
 - Ian Davis
 
 Changeset
 
 Tags:
 
 Ian Davis
 LDP: updates
 RDF Vocabularies
 Talis
 
 This vocabulary defines a set of terms for describing changes to resource descriptions.
 
 2014-09-15 About
 
 RDF 1.1 JSON Serialisation (RDF/JSON)
 
 Tags:
 
 Ian Davis
 Talis RDF/JSON
 
 2012-09-02 About
 
 Linked Data Patterns
 
 Tags:
 
 Design pattern
 Howto
 Ian Davis
 Leigh Dodds
 Linked Data
 
 A pattern catalogue for modelling, publishing, and consuming Linked Data
 
 2011-09-10 About
 
 Google Author Rich Snippets | Internet Alchemy
 
 Tags:
 
 Google Rich Snippets
 Ian Davis
 
 2011-08-22 About
 
 ProductDB
 
 Tags:
 
 Ian Davis
 Linked Data
 
 ProductDB aims to be the World's most comprehensive and open source of product data. Not only do we want to create a page for every product in the world, we want to connect the underlying structured data together into one huge interlinked dataset. All the data is published as Linked Data.
 
 2011-06-23 About
 - Ian Horrocks
 
 A comparison of two modelling paradigms in the Semantic Web
 
 Tags:
 
 Ian Horrocks
 Open World Assumption
 Peter Patel-Schneider
 
 Classical logics and Datalog-related logics have both been proposed as underlying formalisms for conceptual modelling in the context of the Semantic Web. Although these two different formalism groups have some commonalities, and look similar in the context of expressively impoverished languages like RDF, their differences become apparent at more expressive language levels. After considering some of these differences, we argue that, although some of the characteristics of Datalog have their utility, the open environment of the Semantic Web is better served by standard logics.
 
 2011-02-14 About
 
 Bridging the Gap Between OWL and Relational Databases
 
 Tags:
 
 Ian Horrocks
 OWL
 Ulrike Sattler
 
 2010-09-06 About
 
 Submission Request to W3C: OWL 1.1 Web Ontology Language
 
 Tags:
 
 Ian Horrocks
 OWL 1.1
 W3C Submission
 
 2007-09-19 About
 
 SWRL: A Semantic Web Rule Language Combining OWL and RuleML
 
 Tags:
 
 Ian Horrocks
 SWRL
 W3C Submission
 
 W3C Member Submission 21 May 2004
 
 2007-08-24 About
 
 Integrating Description Logics and Relational Databases
 
 Tags:
 
 Description Logic
 Ian Horrocks
 
 In this paper, we compare description logics with relational databases with respect to their treatment of schema constraints, the languages used to express these constraints, and the approaches to query answering and constraint checking. Our analysis reveals a significant overlap between the two formalisms. Inspired by the integrity constraints of relational databases, we define a notion of integrity constraints for description logics. We analyze different possibilities for defining the semantics of the constraints. Finally, we present several algorithms for checking constraint satisfaction for description logics with varying degrees of expressivity.
 
 2006-12-16 About
 - Ivan Herman
 
 Schema.org and RDFa 1.1 Lite: how does it look now? - W3C Blog
 
 Tags:
 
 Ivan Herman
 RDFa 1.1 Lite
 schema.org
 
 2013-06-12 About
 
 Linked Data on the Web Workshop, Lyon « Ivan’s private site
 
 Tags:
 
 Ivan Herman
 LDOW2012
 
 2012-04-17 About
 
 RDF Interfaces 1.0
 
 Tags:
 
 Ivan Herman
 W3C Working Draft
 
 The RDF Interfaces Specification defines a set of standardized interfaces for working with RDF data in a programming environment.
 
 2011-05-12 About
 
 RDFa Distiller and Parser
 
 Tags:
 
 Dev tools
 Ivan Herman
 RDFa
 RDFa tool
 
 2011-01-18 About
 
 My first mapping from RDB to RDF using R2RML « Ivan’s private site
 
 Tags:
 
 Ivan Herman
 R2RML
 
 2010-11-07 About
 
 Introduction to Semantic Web Technologies, slides Ivan Herman at semtech 2010
 
 Tags:
 
 Ivan Herman
 Semantic Web : introduction
 Slides
 
 2010-06-30 About
 
 A different usage of RDFa… « Ivan’s private site
 
 Tags:
 
 Ivan Herman
 RDFa
 
 2009-01-16 About
 
 Semantic Web and uncertainty « Ivan’s private site
 
 Tags:
 
 Ivan Herman
 Uncertainty Reasoning AND Semantic Web
 
 2008-10-16 About
 
 The Semantic Web in Action - Scientific American - December 2007
 
 Tags:
 
 Ivan Herman
 Lee Feigenbaum
 Semantic web: evangelization
 
 2008-03-29 About
 
 Ivan Herman - Semantic Web Adoption
 
 Tags:
 
 Automotive AND W3C
 Ivan Herman
 Link to me
 Référentiel des opérations
 
 Invited talk given at the First China Semantic Web Symposium (CSWS 2007), in Beijing, China, on November 19, 2007.
 
 2008-03-04 About
 
 From Wikipedia URI-s to DBpedia URI… « Ivan’s blog
 
 Tags:
 
 Ivan Herman
 Richard Cyganiak
 Wikipedia page to concept
 
 2007-08-01 About
 
 Semantic Web Education and Outreach Interest Group Case Studies and Use Cases
 
 Tags:
 
 Ivan Herman
 Semantic web : Use cases
 SWEO Interest Group
 
 2007-04-28 About
 
 Practical Semantic Web Use Cases on ESW Wiki
 
 Tags:
 
 Ivan Herman
 Semantic web : Use cases
 SWEO Interest Group
 
 2007-04-28 About
 
 Data Integration on Semantic Web
 
 Tags:
 
 Ivan Herman
 Semantic web: evangelization
 
 Example related to book searching and selling on how the Semantic Web technologies can be used for data integration
 
 2007-04-17 About
 
 State of the Semantic Web - Bangalore, 23 February, 2007 - Ivan Herman, W3C
 
 Tags:
 
 Ivan Herman
 Semantic web : présentation
 W3C
 
 2007-04-03 About
 - James Hendler
 
 Elementary, My Dear Watson - Will IBM’s quiz show champion outgrow humankind?
 
 Tags:
 
 IBM Watson
 James Hendler
 
 2013-07-31 About
 - Jeni Tennison
 
 Hash URIs | W3C Blog
 
 Tags:
 
 Hash-bang URIs
 Hash URIs
 Jeni Tennison
 W3C
 
 2020-11-07 About
 
 Possible way to provide POSTable URI in RDF
 
 Tags:
 
 Jeni Tennison
 Leigh Dodds
 RDF forms
 URI Template
 
 2014-09-08 About
 
 Microdata and RDFa Living Together in Harmony | Jeni's Musings
 
 Tags:
 
 Jeni Tennison
 Microdata
 RDFa
 
 2014-04-13 About
 
 The RDF Data Cube Vocabulary
 
 Tags:
 
 Dave Reynolds
 Jeni Tennison
 Richard Cyganiak
 SDMX
 Statistical data
 
 2013-12-22 About
 
 URLs in Data Primer
 
 Tags:
 
 httpRange-14
 Jeni Tennison
 
 2013-07-11 About
 
 @itemid and URL properties in schema.org from Jeni Tennison on 2011-11-04 (public-vocabs@w3.org from November 2011)
 
 Tags:
 
 Jeni Tennison
 public-vocabs@w3.org
 schema.org
 
 2013-07-06 About
 
 Priorities for RDF | Jeni's Musings
 
 Tags:
 
 Jeni Tennison
 RDF
 
 2012-08-24 About
 
 rdfQuery: Progressive Enhancement with RDFa | Jeni's Musings
 
 Tags:
 
 Jeni Tennison
 RDFa
 rdfQuery
 
 2012-08-09 About
 
 Mark it up! (nice rdfQuery demo)
 
 Tags:
 
 Jeni Tennison
 rdfQuery
 
 2012-08-09 About
 
 Using "Punning" to Answer httpRange-14 | Jeni's Musings
 
 Tags:
 
 httpRange-14
 Jeni Tennison
 
 2012-05-12 About
 
 Re: Change Proposal for HttpRange-14 from Jeni Tennison
 
 Tags:
 
 httpRange-14
 Hugh Glaser
 Jeni Tennison
 
 2012-04-11 About
 
 Guest Post: A Developers' Guide to the Linked Data APIs - Jeni Tennison | data.gov.uk
 
 Tags:
 
 Government data as Linked Data
 Jeni Tennison
 
 2011-10-12 About
 
 Hash URIs | Jeni's Musings
 
 Tags:
 
 Hash-bang URIs
 Jeni Tennison
 
 2011-08-11 About
 - Jeremy Carroll
 
 RDFa support in Jena GRDDL Reader (SVN)
 
 Tags:
 
 GRDDL
 Jena
 Jeremy Carroll
 RDFa
 
 2007-05-31 About
 - John Pereira
 
 redlink
 
 Tags:
 
 Apache Marmotta
 John Pereira
 Rupert Westenthaler
 Semantic startup
 Solr
 Stanbol
 
 2015-03-09 About
 
 Redlink’s 90seconds of fame at the Pioneers Festival | redlink
 
 Tags:
 
 John Pereira
 
 2013-11-03 About
 - Juan Sequeda
 
 [2311.07509] A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases
 
 Tags:
 
 Arxiv Doc
 Benchmark
 Dean Allemang
 Juan Sequeda
 Knowledge Graphs
 LLM + KG
 LLM+SQL
 
 2023-11-21 About
 
 A Brief History of Knowledge Graph's Main Ideas: A tutorial, Claudio Gutierrez and Juan F. Sequeda
 
 Tags:
 
 Juan Sequeda
 Knowledge Graphs
 
 2019-10-27 About
 
 The Semantic Web Has Gone Mainstream! Wanna Bet? - semanticweb.com
 
 Tags:
 
 Juan Sequeda
 Linking Enterprise Data
 Peter Mika
 Semantic Web
 
 2012-05-10 About
 - Katie Portwin
 
 quakr
 
 Tags:
 
 3D
 Katie Portwin
 XTech 2007
 
 Is it possible to build a virtual world from user-contributed photographic metadata? Quakr is a project to build the world one photo at a time.
 
 2007-05-17 About
 - Kingsley Idehen
 - Lee Feigenbaum
 
 Big Data sheds light on pharma's 'Small Data' problems - FierceBiotechIT
 
 Tags:
 
 Big Data
 Industrie pharmaceutique
 Lee Feigenbaum
 
 while Big Data is a real problem, it's not a Big Problem. What is a Big Problem... is the challenge of dealing with the diverse variety of (small) data that's needed for decision-making
 
 2013-04-02 About
 
 Saving Months, Not Milliseconds: Do More Faster with the Semantic Web - TechnicaLee Speaking
 
 Tags:
 
 Lee Feigenbaum
 Semantic Web propaganda
 
 2011-09-27 About
 
 Evolution Towards Web 3.0: The Semantic Web
 
 Tags:
 
 Lee Feigenbaum
 Semantic Enterprise
 
 2011-05-31 About
 
 Could SemTech Run On Excel? (SemTech Lightning Demo) - TechnicaLee Speaking
 
 Tags:
 
 Anzo
 Excel and SW
 Lee Feigenbaum
 SW demo
 
 2010-09-02 About
 
 CONSTRUCTing Quads - TechnicaLee Speaking
 
 Tags:
 
 Anzo
 Lee Feigenbaum
 Quads
 
 2009-07-08 About
 
 Semantic Web Landscape 2009
 
 Tags:
 
 Lee Feigenbaum
 Semantic web: evangelization
 Slides
 
 2009-05-12 About
 
 Named graphs in Open Anzo - TechnicaLee Speaking
 
 Tags:
 
 Anzo
 Lee Feigenbaum
 Named Graphs
 
 2009-03-03 About
 
 TechnicaLee Speaking: using OPTIONAL to select a single value based on an ordered list of predicates which might appear in the data
 
 Tags:
 
 Lee Feigenbaum
 SPARQL Tips
 
 suppose we want to use the value of the Dublin Core title predicate (dc:title) if it exists, and otherwise use the value of the rdfs:label predicate
 
 2008-10-29 About
 
 TechnicaLee Speaking: Videos: Anzo for Excel in action
 
 Tags:
 
 Anzo
 Excel
 Lee Feigenbaum
 Mapping data from spreadsheets to RDF
 
 2008-10-23 About
 
 SPARQL By Example (Lee Feigenbaum)
 
 Tags:
 
 Lee Feigenbaum
 SPARQL: sample code
 SPARQL Tutorial
 
 2008-09-24 About
 
 The Semantic Web in Action - Scientific American - December 2007
 
 Tags:
 
 Ivan Herman
 Lee Feigenbaum
 Semantic web: evangelization
 
 2008-03-29 About
 
 TechnicaLee Speaking: Why SPARQL?
 
 Tags:
 
 Lee Feigenbaum
 Semantic web: evangelization
 SPARQL
 
 2008-01-25 About
 
 TechnicaLee Speaking: Using RDF on the Web: A Vision
 
 Tags:
 
 Lee Feigenbaum
 RDFa
 RDF Templating
 Semantic markup in HTML
 
 2007-07-04 About
 
 TechnicaLee Speaking: Updates to sparql.js
 
 Tags:
 
 Lee Feigenbaum
 SPARQL en javascript
 
 2007-04-20 About
 
 TechnicaLee Speaking: SPARQL Calendar Demo: A SPARQL JavaScript Library
 
 Tags:
 
 Lee Feigenbaum
 SPARQL en javascript
 
 2007-04-20 About
 
 TechnicaLee Speaking: Using RDF on the Web: A Survey
 
 Tags:
 
 Lee Feigenbaum
 RDF-driven web sites
 RDF Tools
 Semantic markup in HTML
 
 I want to be able to quickly develop data-driven Web applications that read from and write back to RDF data sources.
 
 2007-01-19 About
 
 TechnicaLee Speaking: Semantic Web Technologies in the Enterprise
 
 Tags:
 
 Lee Feigenbaum
 RDF bus
 Semantic Enterprise
 
 While we support the broad vision of a Semantic World Wide Web, we feel that there are great benefits to be derived from adapting semantic technologies for applications within an enterprise. In particular, we believe that RDF has several very appealing properties that position it as a data format of choice to provide a flexible information bus across heterogeneous applications and throughout the infrastructure layers of an application stack. I AGREE COMPLETELY
 
 2006-12-01 About
 
 SPARQL Protocol and Query Language: Frequently AskedQuestions
 
 Tags:
 
 FAQ
 Lee Feigenbaum
 SPARQL
 
 2006-10-09 About
 - Leigh Dodds
 
 Possible way to provide POSTable URI in RDF
 
 Tags:
 
 Jeni Tennison
 Leigh Dodds
 RDF forms
 URI Template
 
 2014-09-08 About
 
 ldodds/dowl · GitHub
 
 Tags:
 
 Leigh Dodds
 OWL tool
 RDF-OWL documentation tool
 RDF Schema
 
 A simple command-line tool for generating HTML documentation from RDFS/OWL schemas
 
 2012-09-02 About
 
 Linked Data Patterns
 
 Tags:
 
 Design pattern
 Howto
 Ian Davis
 Leigh Dodds
 Linked Data
 
 A pattern catalogue for modelling, publishing, and consuming Linked Data
 
 2011-09-10 About
 
 Kasabi
 
 Tags:
 
 Leigh Dodds
 SW online tools
 Talis
 
 2011-07-07 About
 
 Describing SPARQL Extension Functions « Lost Boy
 
 Tags:
 
 Leigh Dodds
 SPARQL Extension Functions
 SPIN functions
 
 2011-01-10 About
 
 Describe a topic of a concept - Semantic Overflow
 
 Tags:
 
 Leigh Dodds
 SKOS
 
 2010-12-22 About
 
 RDF and JSON: A Clash of Model and Syntax « Lost Boy
 
 Tags:
 
 Leigh Dodds
 RDF-in-JSON
 
 2010-12-06 About
 
 Talis Platform - Demos
 
 Tags:
 
 BBC
 Leigh Dodds
 Linked Data demo
 Talis platform
 
 2010-08-25 About
 
 Linked Data Patterns
 
 Tags:
 
 Design pattern
 Leigh Dodds
 Linked Data
 
 2010-05-10 About
 
 Specification - linked-data-api - Linked Data API Specification - Project Hosting on Google Code
 
 Tags:
 
 Leigh Dodds
 Linked Data API
 
 The API is intended to be a middle-ware layer that can be deployed in-front of a SPARQL endpoint, providing the ability to create a RESTful data access layer for accessing the RDF data contained in the triple store. The middle-ware is configurable, and is intended to support a range of different access patterns and output formats. "Out of the box" the system provides delivery of the standard range of RDF serialisations, as well as simple JSON and XML serializations for descriptions of lists of resources. The API essentially maps parameterized URLs to underlying SPARQL queries, mediating the content negotiation of the results into a suitable format for the client.
 
 2010-02-25 About
 
 Approaches to Publishing Linked Data via Named Graphs « Lost Boy
 
 Tags:
 
 Leigh Dodds
 Named Graphs
 
 2010-01-20 About
 
 Surveying and Classifying SPARQL Extensions « Lost Boy
 
 Tags:
 
 Leigh Dodds
 SPARQL extensions
 
 2009-11-12 About
 
 Managing RDF Using Named Graphs « Lost Boy
 
 Tags:
 
 Leigh Dodds
 Named Graphs
 
 2009-11-12 About
 
 Lost Boy: How Shall I Integrate Thee? Let Me Count the Ways...
 
 Tags:
 
 Data integration
 Leigh Dodds
 Semantic web: evangelization
 
 Leigh Dods tries to elucidate the ways in which technologies like RDF and OWL actually help with data integration?
 
 2008-07-06 About
 
 Lost Boy: Parameterised Queries with SPARQL and ARQ
 
 Tags:
 
 ARQ
 Leigh Dodds
 SPARQL Tips
 
 2008-07-06 About
 
 Lost Boy: Google AppEngine for Personal Web Presence?
 
 Tags:
 
 Google App Engine
 Leigh Dodds
 
 2008-04-14 About
 
 Lost Boy: Writing an ARQ Extension Function
 
 Tags:
 
 ARQ property functions
 Leigh Dodds
 
 2008-04-01 About
 
 Lost Boy: Bee Node Deconstructed
 
 Tags:
 
 Leigh Dodds
 SPARQL
 
 "ADC pattern" (ASK, DESCRIBE, CONSTRUCT): a way to probe a remote data set to see if it has information that is of interest and then extract information from that data set with increasing levels of precision and control.
 
 2008-02-01 About
 
 XMLArmyKnife -- SPARQL Query Service
 
 Tags:
 
 Leigh Dodds
 SPARQL
 
 2007-01-24 About
 
 Lost Boy: Benefits of Refactoring to REST
 
 Tags:
 
 Leigh Dodds
 REST
 
 reducing the "surface area" of the application
 
 2006-10-09 About
 
 Lost Boy: Feeding Google Co-Op with SPARQL
 
 Tags:
 
 Google
 Leigh Dodds
 SPARQL
 
 Last night I took my first look at Google Co-op, in particular the "Subscribed Links" feature which allows users to add services to Google search results.
 
 2006-06-08 About
 
 XMLArmyKnife - Experimenting with EmbeddedRDF and GRDDL Support
 
 Tags:
 
 GRDDL
 Leigh Dodds
 Semantic markup in HTML
 SPARQL
 
 Embedded RDF is a method of embedding (a subset of) RDF within XHTML and HTML documents. A simple XSLT transformation can be used to extract the RDF from within the document. A related and more generalised technology is GRDDL which defines how to associate transformation algorithms (i.e. XSLT stylesheets) with XHTML profiles or microformats so that there's a clear mapping from embedded metadata into RDF. I've been experimenting with adding support for both of these technologies in the XMLArmyKnife SPARQL query service. This provides a means to directly query RDF embedded in XHTML documents.
 
 2006-05-28 About
 
 Lost Boy: XTech 2006: SPARQLing Services
 
 Tags:
 
 Ajax
 JSON
 Leigh Dodds
 SPARQL
 XTech 2006
 
 An overview of SPARQL, with an emphasis on the SPARQL protocol and how SPARQL can benefit Web 2.0/AJAX applications.
 
 2006-05-22 About
 
 XTech 2006: SPARQLing Services
 
 Tags:
 
 Good
 Leigh Dodds
 SPARQL
 Web Services
 XTech 2006
 
 This paper will review the SPARQL specifications and its potential benefits to Web 2.0 applications. Focusing on the SPARQL protocol for RDF, the paper will provide implementation guidance for developers interested in adding SPARQL support to their applications.
 
 2006-05-22 About
 
 Lost Boy: SPARQLing the BBC Programme Catalogue
 
 Tags:
 
 BBC
 Leigh Dodds
 SPARQL
 
 2006-04-27 About
 
 Lost Boy: 2006 Jena User Conference Programme
 
 Tags:
 
 Jena User Conference
 Leigh Dodds
 
 2006-04-13 About
 
 Slug: A Semantic Web Crawler
 
 Tags:
 
 Leigh Dodds
 Semantic Web Crawler
 
 Slug is a web crawler (or Scutter) designed for harvesting semantic web content. Implemented in Java using the Jena API, Slug provides a configurable, modular framework that allows a great degree of flexibility in configuring the retrieval, processing and storage of harvested content.
 
 2006-03-29 About
 
 XML.com: REST Roundup
 
 Tags:
 
 Leigh Dodds
 SOAP vs REST
 
 2006-02-23 About
 
 XML.com: Introducing SPARQL: Querying the Semantic Web
 
 Tags:
 
 Leigh Dodds
 SPARQL
 
 2005-11-18 About
 
 Lost Boy: It's Like the Ultimate Lazy Web
 
 Tags:
 
 Amazon Mechanical Turk
 Leigh Dodds
 
 2005-11-04 About
 
 Lost Boy: Using Jena in an Application Server
 
 Tags:
 
 Jena
 Leigh Dodds
 
 2005-10-04 About
 
 Connecting Social Content Services using FOAF, RDF and REST
 
 Tags:
 
 foaf
 Leigh Dodds
 RDF
 REST
 Social Content Services
 
 2005-09-29 About
 - Leo Sauermann
 - Manu Sporny
 
 jsonld.js: A JSON-LD Processor and API implementation in JavaScript.
 
 Tags:
 
 Javascript RDF
 JSON-LD
 Manu Sporny
 
 <a href="http://github.com/digitalbazaar/jsonld.js">on github</a>
 
 2015-02-25 About
 
 JSON-LD 1.0
 
 Tags:
 
 JSON-LD
 Manu Sporny
 Markus Lanthaler
 W3C Recommendation
 
 2014-11-15 About
 
 JSON-LD and Why I Hate the Semantic Web | The Beautiful, Tormented Machine
 
 Tags:
 
 JSON-LD
 Manu Sporny
 
 2014-10-20 About
 
 The Downward Spiral of Microdata | The Beautiful, Tormented Machine
 
 Tags:
 
 Manu Sporny
 Microdata
 
 2013-08-22 About
 
 DRM in HTML5 | The Beautiful, Tormented Machine
 
 Tags:
 
 DRM in HTML 5
 Manu Sporny
 
 2013-04-27 About
 
 Semargl: better linked data processing
 
 Tags:
 
 Manu Sporny
 RDFa 1.1
 
 RDFa 1.1 processor - java
 
 2013-01-07 About
 
 RDFa / Play: visualizer for RDFa by @manusporny
 
 Tags:
 
 Manu Sporny
 RDFa tool
 
 2012-08-25 About
 
 JSON-LD | The Beautiful, Tormented Machine
 
 Tags:
 
 JSON-LD
 Manu Sporny
 
 2012-02-20 About
 - Mark Birbeck
 
 Recommended mimetype for JSON-LD payload? - Google Groups
 
 Tags:
 
 JSON-LD
 Mark Birbeck
 MIME type
 Olivier Grisel
 Talis RDF/JSON
 
 2012-09-02 About
 - Martin Hepp
 Hepp's PropertyValue
 
 WebSchemas/PropertyValuePairs - W3C Wiki
 
 Tags:
 
 Hepp's PropertyValue
 Martin Hepp
 Product description
 
 2014-05-03 About
 
 Generic Property-Value Proposal for Schema.org from martin.hepp@ebusiness-unibw.org on 2014-04-29 (public-vocabs@w3.org from April 2014)
 
 Tags:
 
 fps' post
 Hepp's PropertyValue
 Product description
 public-vocabs@w3.org
 
 <a href="http://lists.w3.org/Archives/Public/public-vocabs/2014May/0056.html">see also</a> <a href="http://lists.w3.org/Archives/Public/public-vocabs/2014May/0067.html">Niklas Lindström</a>
 
 2014-05-02 About
 
 Re: Generic Property-Value Proposal for Schema.org from Francois-Paul Servant on 2014-04-30 (public-vocabs@w3.org from April 2014)
 
 Tags:
 
 fps' post
 Hepp's PropertyValue
 public-vocabs@w3.org
 
 2014-04-30 About
 
 Google Product Rich Snippets for Multiple Products on a Page | The Hepp Research Blog on Marketing with Data
 
 Tags:
 
 Google Rich Snippets
 Martin Hepp
 schema.org
 
 2015-07-09 About
 
 WebSchemas/PropertyValuePairs - W3C Wiki
 
 Tags:
 
 Hepp's PropertyValue
 Martin Hepp
 Product description
 
 2014-05-03 About
 
 OPDM - Ontologies
 
 Tags:
 
 GoodRelations
 Martin Hepp
 Ontologies
 Product description
 
 2014-04-19 About
 
 JSON-LD: Finally, Google Honors Invisible Data for SEO | The Hepp Research Blog on Marketing with Data
 
 Tags:
 
 Google
 JSON-LD
 Martin Hepp
 schema.org
 SEO
 
 2014-03-26 About
 
 Re: Offer data in separate places in HTML from Martin Hepp on 2013-05-14 (public-vocabs@w3.org from May 2013)
 
 Tags:
 
 Martin Hepp
 public-vocabs@w3.org
 
 "You can, in theory, collate statements scattered across an HTML document by using the about property with the same identifier in the enclosing (outer) RDFa entity, but 1. that is kind of clumsy 2. search engines will often not understand that the information belongs to the same entity, since they typically parse RDFa markup as a tree and not as a graph (i.e. nesting matters). "
 
 2013-07-06 About
 
 SKOS2OWL: Online tool for deriving OWL ontologies from SKOS categorization schemas
 
 Tags:
 
 Martin Hepp
 SKOS/OWL
 
 2013-02-08 About
 
 Semantic SEO for the Automotive Industry on Vimeo
 
 Tags:
 
 Automobile
 Martin Hepp
 Semantic SEO
 SemTechBiz
 
 2012-01-12 About
 
 KEYNOTE Panel: Semantics in the Automotive Industry
 
 Tags:
 
 Automobile
 Martin Hepp
 SemTechBiz Berlin 2012
 
 2011-12-17 About
 
 ANN: Renault adds GoodRelations to UK Shop
 
 Tags:
 
 GoodRelations/Renault
 Makolab
 Martin Hepp
 
 2011-10-12 About
 
 Semantic SEO for Automotive
 
 Tags:
 
 Automobile
 Martin Hepp
 SemTechBiz
 SEO
 
 2011-08-16 About
 - Martynas Jusevicius
 
 Martynas Jusevicius sur Twitter : "Is there a solution for entity recognition that would use a local #KnowledgeGraph to look for matches? Ideally any SPARQL datasource..."
 
 Tags:
 
 Entity linking
 Knowledge Graphs in NLP
 Martynas Jusevicius
 Tweet
 
 2020-03-13 About
 
 Re: Google Structured Data Testing Tool fails on valid JSON-LD from Dan Brickley on 2016-04-07 (public-schemaorg@w3.org from April 2016)
 
 Tags:
 
 Dan Brickley
 Google Structured Data Testing Tool
 JSON-LD
 Martynas Jusevicius
 
 > The Google Structured Data Testing Tool in its current incarnation is largely oriented towards vocabulary that Google understands, even though it is perfectly harmless to include other information in your structured data
 
 2017-09-26 About
 - Mathieu d'Aquin
 
 Open Education: A Growing, High Impact Area for Linked Open Data
 
 Tags:
 
 Mathieu d'Aquin
 Open Education
 
 2014-01-21 About
 - Mike Bergman
 KBPedia
 
 A Common Sense View of Knowledge Graphs | AI3:::Adaptive Information
 
 Tags:
 
 Knowledge Graphs
 Mike Bergman
 
 > “Graph-based knowledge representation has been researched for decades and the term knowledge graph does not constitute a new technology. Rather, it is a buzzword reinvented by Google and adopted by other companies and academia to describe different knowledge representation applications.” > ...knowledge graphs, like ontologies, have a broad range of applications & constructions. ...it is less important to reflect on some precise understanding as to realize that human language and knowledge is being presented in a connected, graph form
 
 2019-07-03 About
 
 Spring Dawns on Artificial Intelligence | AI3:::Adaptive Information
 
 Tags:
 
 Artificial Intelligence
 Mike Bergman
 
 2014-07-25 About
 
 Big Structure: At The Nexus of Knowledge Bases, the Semantic Web and Artificial Intelligence | AI3:::Adaptive Information
 
 Tags:
 
 Data Interoperability
 Knowledge-based AI
 Mike Bergman
 Semantic Web
 
 Neither the semantic Web nor linked data has developed the practices, tooling or experience to actually interoperate data across the Web... Where it is compliant and from authoritative information sources, linked data can be a gold standard in data publishing. But, linked data is neither necessary nor essential, and may even be a diversion if it sucks the air from the room for what is more broadly useful. Interoperability requires reference structures, what we are calling Big Structure. Most analysts see firms that are actively pursuing data integration innovations as forward-thinking and more competitive. The semantic Web, in our view, is properly understood as a sub-domain of artificial intelligence. Semantic technologies mesh smoothly with natural language tasks and objectives. But, as we noted in a recent review article, artificial intelligence is itself undergoing a renaissance. These advances are coming about because of the use of knowledge-based AI (KBAI), which combines knowledge bases with machine learning and other AI approaches. Natural language and spoken interfaces combined with background knowledge and a few machine-language utilities are what underlie Apple’s Siri, for example. 
 
 2014-07-24 About
 
 A Decade in the Trenches of the Semantic Web | AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 Semantic Web
 
 2014-07-24 About
 
 Re: Should we adopt SKOS? from Mike Bergman on 2013-01-11 (public-vocabs@w3.org from January 2013)
 
 Tags:
 
 Mike Bergman
 public-vocabs@w3.org
 schema.org
 SKOS
 
 As for SKOS, I think it is generally orthogonal to a schema.org specification. Like any vocabulary on the Web, map to the concepts that make sense for you. If "about" with namespace recognition were added to schema.org, there would be no further questions about what to do with SKOS or any other Web vocabulary. schema.org != semantic web
 
 2013-07-06 About
 
 SKOS Now Interoperates with OWL 2 | AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 OWL 2
 OWL DL
 SKOS/OWL
 
 2013-02-07 About
 
 Enterprise-scale Semantic Systems | AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 Semantic Enterprise
 
 2013-02-02 About
 
 The Rationale for Semantic Technologies » AI3:::Adaptive Information
 
 Tags:
 
 Knowledge Representation
 Mike Bergman
 Semantic technology
 Semantic web: evangelization
 
 2012-07-31 About
 
 Seven Pillars of the Open Semantic Enterprise » AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 Semantic Enterprise
 
 2012-07-26 About
 
 Deconstructing the Google Knowledge Graph » AI3:::Adaptive Information
 
 Tags:
 
 Google Knowledge Graph
 Mike Bergman
 
 2012-05-19 About
 
 Pragmatic Approaches to the Semantic Web » AI3:::Adaptive Information
 
 Tags:
 
 Good
 Knowledge Representation
 Linked Data
 Mike Bergman
 Web of data
 
 Semantic technologies are fundamentally about knowledge representation, not data transfer.
 
 2012-05-15 About
 
 Mike Bergman | Semantic Web Dog Food
 
 Tags:
 
 Mike Bergman
 
 2012-02-20 About
 
 UMBEL Services, Part 2: Full-text, Faceted Search » AI3:::Adaptive Information
 
 Tags:
 
 Faceted Search
 Mike Bergman
 Solr
 Umbel
 
 Search uses the integration of RDF and inferencing with full-text, faceted search using Solr
 
 2011-11-13 About
 
 Structured Web Gets Massive Boost » AI3:::Adaptive Information
 
 Tags:
 
 Microdata
 Mike Bergman
 
 2011-06-07 About
 
 Comprehensive Listing of 175 Semantic Web Tools » AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 Semantic Web : Tools
 
 2011-01-22 About
 
 Thinking ‘Inside the Box’ with Description Logics » AI3:::Adaptive Information
 
 Tags:
 
 Description Logic
 Linked Data
 Mike Bergman
 
 2011-01-05 About
 
 The Open World Assumption: Elephant in the Room » AI3:::Adaptive Information
 
 Tags:
 
 Business intelligence
 IT failures
 Mike Bergman
 Open World Assumption
 
 2010-09-06 About
 
 Layered_Semantic_Enterprise_Architecture.png
 
 Tags:
 
 Mike Bergman
 Semantic Enterprise Architecture
 
 2010-07-02 About
 
 Guiding Principles for the Open Semantic Enterprise
 
 Tags:
 
 Mike Bergman
 Semantic Enterprise
 
 2010-07-01 About
 
 Fresh Perspectives on the Semantic Enterprise » AI3:::Adaptive Information
 
 Tags:
 
 Linking Enterprise Data
 Mike Bergman
 Semantic Enterprise
 
 "We can truly call RDF a disruptive data model or framework. But, it does so without disrupting what exists in the slightest. And that is a most remarkable achievement."
 
 2009-10-08 About
 
 The Semantic Puzzle | DBpedia, UMBEL & the Future Web’s Ecology - interview with Mike Bergman & Sören Auer
 
 Tags:
 
 dbpedia
 Mike Bergman
 Umbel
 
 2008-11-12 About
 
 A New Constellation in the Linking Open Data (LOD) Sky » AI3:::Adaptive Information
 
 Tags:
 
 Linking Open Data
 Mike Bergman
 
 Class-level Mappings Now Generalize Semantic Web Connectivity
 
 2008-10-06 About
 
 OpenLink Plugs the Gaps in the Structured Web » AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 Virtuoso: review
 
 Virtuoso and Related Tools String Together a Surprisingly Complete Score
 
 2008-08-28 About
 
 Sweet Tools (Sem Web) - Simple Version » AI3:::Adaptive Information
 
 Tags:
 
 Mike Bergman
 Semantic Web : Tools
 
 2008-06-26 About
 
 What is Linked Data? » AI3:::Adaptive Information
 
 Tags:
 
 fps AND LDOW2008
 Linking Enterprise Data
 Link to me
 Mike Bergman
 
 > The Linking Open Data (LOD) group formed about 18 months ago to showcase Linked Data techniques began with open data. As a parallel concept to sever the idea that it only applies to open data, François-Paul Servant has specifically identified Linking Enterprise Data. Zitgist Offers a Definition and Some Answers to Enterprise Questions
 
 2008-06-24 About
 
 AI3:::Adaptive Information » Mike Bergman on the semantic Web and structured Web
 
 Tags:
 
 Mike Bergman
 Semantic Web
 
 2008-05-16 About
 - Mirek Sopek
 C2GWeb, Product description and Makolab
 
 GraphChain – A Distributed Database with Explicit Semantics and Chained RDF Graphs
 
 Tags:
 
 Blockchain
 Mirek Sopek
 RDF
 TheWebConf 2018
 
 2018-04-25 About
 
 GraphChain
 
 Tags:
 
 Blockchain
 Mirek Sopek
 RDF
 TheWebConf 2018
 
 2018-04-25 About
 
 Toyota Motor Europe use of schema.org and auto.schema.org vocabularies | Automotive Ontology Community Group
 
 Tags:
 
 Automotive Ontology Community Group
 Mirek Sopek
 schema.org
 Toyota
 
 2017-09-25 About
 
 How Can Blockchain amplify Digital Identifiers? Improving Data Persis…
 
 Tags:
 
 Blockchain
 Mirek Sopek
 SlideShare
 
 2016-11-10 About
 
 Gainesville Core
 
 Tags:
 
 Mirek Sopek
 
 2013-04-16 About
 
 Chemical Semantics
 
 Tags:
 
 Chimie
 Mirek Sopek
 
 2013-04-11 About
 - Nathan Rixham
 
 on the issue of conflicting requirements when creating linked data applications. – webr3.org
 
 Tags:
 
 Linked Data
 Nathan Rixham
 
 2012-10-22 About
 
 JSN3
 
 Tags:
 
 Nathan Rixham
 RDF-in-JSON
 
 2012-02-20 About
 
 webr3.org
 
 Tags:
 
 Nathan Rixham
 
 2011-08-11 About
 
 Please allow JS access to Ontologies and LOD
 
 Tags:
 
 Cross-Origin Resource Sharing
 Howto
 JavaScript
 Nathan Rixham
 
 2011-06-28 About
 - Niklas Lindström
 
 Re: Querying JSON-LD on client side from David I. Lehn on 2015-07-17 (public-linked-json@w3.org from July 2015)
 
 Tags:
 
 JSON-LD
 Niklas Lindström
 public-linked-json@w3.org
 
 2015-08-06 About
 - Nova Spivak
 Twine
 
 SPARQL/Extensions/SPARQLScript - ESW Wiki
 
 Tags:
 
 Nova Spivak
 SPARQL
 
 2008-06-12 About
 
 Developing Web 3.0 - JavaOne
 
 Tags:
 
 Henry Story
 JavaOne
 Nova Spivak
 Semantic Camp Paris
 Slides
 Web 3.0
 
 2008-04-08 About
 - Olaf Hartig
 
 Olaf Hartig sur Twitter : "Question: are there any production-ready tools for providing a SPARQL endpoint over a REST-based Web service?"
 
 Tags:
 
 Olaf Hartig
 REST
 SPARQL endpoint
 Tweet
 
 2021-02-20 About
 
 Position Statement: The RDF* and SPARQL* Approach to Annotate Statements in RDF and to Reconcile RDF and Property Graphs | Olaf Hartig
 
 Tags:
 
 Olaf Hartig
 RDF*
 RDF and Property Graphs
 
 2019-03-01 About
 
 ISWC 2019 Tutorial "An Introduction To GraphQL" - IDA
 
 Tags:
 
 GraphQL
 ISWC
 Olaf Hartig
 Tutorial
 
 2019-02-17 About
 
 Olaf Hartig sur Twitter : "Here are typical examples of how people do data integration in the GraphQL context. Everything is explicitly implemented in the program code. No flexibility. Reminds me of the API mash-up apps that were popular 15 years ago. https://t.co/3qJMKXoWDt https://t.co/GWqPdmeFIP"
 
 Tags:
 
 GraphQL
 Olaf Hartig
 
 2019-02-16 About
 
 tRDF - Tools for Trust in the Web of Data
 
 Tags:
 
 Olaf Hartig
 Trust in the Web of Data
 
 2013-07-12 About
 
 Tutorial: Linked Data Query Processing
 
 Tags:
 
 Linked Data
 Olaf Hartig
 Tutorial
 WWW 2013
 
 2013-05-18 About
 - Ora Lassila
 
 Size does not matter (if your data is in a silo)
 
 Tags:
 
 Big data & semantic web
 Ora Lassila
 Slides
 
 2013-08-08 About
 
 Identity Crisis in Linked Data
 
 Tags:
 
 Identity Crisis in Linked Data
 Ora Lassila
 
 2011-12-17 About
 
 Ora Lassila - Programming Semantic Web Applications: A Synthesis of Knowledge Representation and Semi-Structured Data
 
 Tags:
 
 Knowledge Representation
 Ora Lassila
 
 Dissertation for the degree of Doctor of Science in Technology In the approach taken in this dissertation, it is proposed that RDF graphs can be exposed through a node-centric (i.e., “frame system”) API. Central to this API is a slot access function Alookup (f , s, G ): “given graph G , give me the values of slot s of frame f ”... This basic API can be extended by supporting a query language which allows complex access paths – expressed as regular expressions of slot names (i.e., RDF properties) – to be used in place of atomic slot names.
 
 2008-01-01 About
 
 Wilbur-and-O: OINK
 
 Tags:
 
 Lisp
 Ora Lassila
 RDF browser
 
 "RDF browser", built using Wilbur. I am tired of looking RDF data in the RDF/XML (or any other syntactic) form. It seems that an RDF graph can easily be rendered as hypertext, and browsing is a very intuitive way to navigate data. Loading multiple RDF documents into Wilbur's triple-store and viewing them all together offers a simple way to integrate data, ad hoc. I've dubbed this piece of software "OINK" for "Open Integration of Networked Knowledge" (really).
 
 2006-03-22 About
 - Orri Erling
 
 LOD2 Plenary and Open Data Meet-up in Mannheim
 
 Tags:
 
 Chris Bizer
 LOD2
 Orri Erling
 
 2014-02-27 About
 
 Short Recap of Virtuoso Basics
 
 Tags:
 
 Orri Erling
 Virtuoso
 
 2009-05-01 About
 
 Requirements for Relational-to-RDF Mapping
 
 Tags:
 
 ETL
 Orri Erling
 SQL to RDF mapping
 
 2009-04-02 About
 
 ISWC 2008: The Scalable Knowledge Systems Workshop
 
 Tags:
 
 Benchmark
 Orri Erling
 Relational Databases and the Semantic Web
 
 1. mapping relational to RDF, where possible, is faster than triple storage; and 2. the equivalent relational solution can be some 10x faster than the pure triples representation.
 
 2009-02-16 About
 
 ESWC2008 Relational2RDF - Mapping Relational Databases to RDF with OpenLink Virtuoso
 
 Tags:
 
 Database to RDF mapping
 Orri Erling
 
 2009-02-06 About
 
 Faceted Search: Unlimited Data in Interactive Time
 
 Tags:
 
 Faceted Search
 Orri Erling
 
 2009-01-16 About
 
 ISWC 2008: Some Questions - Inference: Is it always forward chaining?
 
 Tags:
 
 Entailment
 Forward chaining
 Orri Erling
 RDF Schema inferencing
 
 Once the working set is no longer in memory, response times jump disproportionately. Also, if the data changes or is retracted or is unreliable, one can end up doing a lot of extra work with materialization. Consider the effect of one malicious sameAs statement. This can lead to a lot of effects that are hard to retract. On the other hand, if running in memory with static data..., the queries run some 20% faster if entailment subclasses and sub-properties are materialized rather than done at run time.
 
 2009-01-03 About
 
 "E Pluribus Unum", or "Inversely Functional Identity", or "Smooshing Without the Stickiness" (re-updated)
 
 Tags:
 
 Inverse-functional properties
 Linking Open Data
 Orri Erling
 Smushing
 Virtuoso
 
 2008-12-17 About
 
 Virtuoso RDF: Getting Started for the Developer
 
 Tags:
 
 Orri Erling
 Tutorial
 Virtuoso
 
 2008-12-17 About
 
 Linked Data and Information Architecture
 
 Tags:
 
 LDOW2008
 Linked Data
 Orri Erling
 
 2008-05-04 About
 
 Orri Erling's Weblog
 
 Tags:
 
 Orri Erling
 
 2008-05-04 About
 - Paolo Castagna
 
 castagna/SARQ · GitHub
 
 Tags:
 
 ARQ
 Paolo Castagna
 
 SARQ is a combination of ARQ and Solr. It gives ARQ the ability to perform free text searches using a remote Solr server. Lucene indexes in Solr are additional information for accessing the RDF graph, not storage for the graph itself.
 
 2012-05-04 About
 - Paul Miller
 
 Bringing Semantic Technologies to Enterprise Data | Enterprise Data Journal
 
 Tags:
 
 Business Intelligence and Semantic Web
 Jeffrey T. Pollock
 Master Data Management
 Paul Miller
 SAP
 Semantic Enterprise
 
 2010-09-19 About
 
 Bringing Semantic Technologies to Enterprise Data | Semantic Universe
 
 Tags:
 
 Jeffrey T. Pollock
 Paul Miller
 Semantic Enterprise
 
 2010-08-24 About
 
 Linked Data Horizon Scan
 
 Tags:
 
 Linked Data
 Paul Miller
 
 This Linked Data Horizon Scan was commissioned from Paul Miller of the Cloud of Data by the Joint Information Systems Committee (JISC). The work was intended to provide an overview of current developments with respect to Linked Data, and to make a series of recommendations to JISC and the wider community
 
 2010-03-02 About
 
 Sir Tim Berners-Lee addresses WWW2008 in Beijing
 
 Tags:
 
 Paul Miller
 Tim Berners-Lee
 WWW 2008
 
 2008-06-22 About
 
 Commercialising the Semantic Web (panel at www 2008)
 
 Tags:
 
 Commercialising the Semantic Web
 fps and WWW 2008
 Paul Miller
 WWW 2008
 
 2008-05-17 About
 
 Linked Data on the Web, WWW2008 | The Semantic Web | ZDNet.com
 
 Tags:
 
 fps AND LDOW2008
 Link to me
 Paul Miller
 
 2008-04-24 About
 - Peter Mika
 - Peter Patel-Schneider
 
 Analyzing Schema.org - Peter F. Patel-Schneider - ISWC 2014
 
 Tags:
 
 ISWC
 Peter Patel-Schneider
 schema.org
 
 Schema.org is a way to add machine-understandable information to web pages that is processed by the major search engines to improve search performance. The definition of schema.org is provided as a set of web pages plus a partial mapping into RDF triples with unusual properties, and is incomplete in a number of places. This analysis of and formal semantics for schema.org provides a complete basis for a plausible version of what schema.org should be.
 
 2014-10-23 About
 
 schema.org as it could be from Peter F. Patel-Schneider on 2014-01-06 (public-vocabs@w3.org from January 2014)
 
 Tags:
 
 Peter Patel-Schneider
 public-vocabs@w3.org
 schema.org
 
 "in the absence of a good description of schema.org I tried to put one together for my own purposes, as a potential producer and consumer of schema.org information. This ended up needing to include a philosophy of just what schema.org is, so I put in my own, namely something that could serve as a precursor to a formal treatment of schema.org"
 
 2014-04-30 About
 
 A comparison of two modelling paradigms in the Semantic Web
 
 Tags:
 
 Ian Horrocks
 Open World Assumption
 Peter Patel-Schneider
 
 Classical logics and Datalog-related logics have both been proposed as underlying formalisms for conceptual modelling in the context of the Semantic Web. Although these two different formalism groups have some commonalities, and look similar in the context of expressively impoverished languages like RDF, their differences become apparent at more expressive language levels. After considering some of these differences, we argue that, although some of the characteristics of Datalog have their utility, the open environment of the Semantic Web is better served by standard logics.
 
 2011-02-14 About
 - Phil Archer
 
 The Next 10 Years of Success
 
 Tags:
 
 Phil Archer
 SemWeb Pro
 
 2014-11-05 About
 - Philippe Cudré-Mauroux
 
 International Workshop on Deep Learning for Graphs and Structured Data Embedding
 
 Tags:
 
 Graph Embeddings
 Philippe Cudré-Mauroux
 Structured Data Embedding
 TheWebConf 2019
 Workshop
 
 2019-04-30 About
 
 dipLODocus[RDF]
 
 Tags:
 
 Philippe Cudré-Mauroux
 RDF
 RDF Tools
 
 dipLODocus[RDF] is a new system for RDF data processing supporting both simple transactional queries and complex analytics efficiently. dipLODocus[RDF] is based on a novel hybrid storage model considering RDF data both from a graph perspective (by storing RDF subgraphs or RDF molecules) and from a "vertical" analytics perspective (by storing compact lists of literal values for a given attribute).
 
 2012-05-31 About
 - Pierre-Yves Vandenbussche
 
 Named Entity Recognition with Pytorch Transformers – Pierre-Yves Vandenbussche
 
 Tags:
 
 Hugging Face
 Named Entity Recognition
 Pierre-Yves Vandenbussche
 PyTorch
 Transformers
 
 > How to have a SotA identification of Disease and Chemical entities in 10 lines of code!
 
 2019-12-11 About - Local Copy
 
 Fujitsu Ireland Research and Innovation | Knowledge Engineering and DIscovery (KEDI)
 
 Tags:
 
 Fujitsu
 Knowledge Engineering
 Pierre-Yves Vandenbussche
 
 2018-04-10 About
 
 Translating Embeddings (TransE) – Pierre-Yves Vandenbussche
 
 Tags:
 
 Pierre-Yves Vandenbussche
 TransE
 
 Translating Embeddings (TransE), a method for the prediction of missing relationships in knowledge graphs ([paper](http://papers.nips.cc/paper/5071-translating-embeddings-for-modeling-multi-rela))
 
 2017-09-09 About
 - Raphaël Troncy
 
 D2KLab/entity2rec: entity2rec generates item recommendation from knowledge graphs
 
 Tags:
 
 GitHub project
 Knowledge Graph Embeddings
 Raphaël Troncy
 Recommended reading
 
 2018-06-04 About
 
 NERD: Named Entity Recognition and Disambiguation
 
 Tags:
 
 Named Entity Recognition
 Raphaël Troncy
 
 NERD proposes a web framework which unifies numerous named entity extractors using the NERD ontology which provides a rich set of axioms aligning the taxonomies of these tools.
 
 2013-07-10 About
 
 Live topic generation from event streams
 
 Tags:
 
 Raphaël Troncy
 WWW 2013
 
 2013-05-17 About
 - Reto Bachmann-Gmür
 
 Clerezza: An Apache Project for the Semantic Web | Javalobby
 
 Tags:
 
 Clerezza
 Reto Bachmann-Gmür
 
 2011-09-09 About
 - Richard Cyganiak
 D2RQ
 Pubby
 Semantic Web Client Library
 sig.ma
 
 Debugging Semantic Web sites with cURL | cygri’s notes on web data
 
 Tags:
 
 cURL
 Richard Cyganiak
 
 2016-03-31 About
 
 The RDF Data Cube Vocabulary
 
 Tags:
 
 Dave Reynolds
 Jeni Tennison
 Richard Cyganiak
 SDMX
 Statistical data
 
 2013-12-22 About
 
 Code lists for units of measure? - Google Groups
 
 Tags:
 
 Richard Cyganiak
 Units of measure
 
 2013-02-15 About
 
 Tarql: SPARQL for Tables - cygri/tarql · GitHub
 
 Tags:
 
 ARQ
 CSV
 Richard Cyganiak
 SPARQL 1.1
 
 SPARQL for Tables Tarql is a command-line tool for converting CSV files to RDF using SPARQL 1.1 syntax. It's written in Java and based on Apache ARQ.
 
 2013-02-08 About
 
 namespace lookup for RDF developers | prefix.cc
 
 Tags:
 
 RDF dev
 RDF Tools
 Richard Cyganiak
 
 2012-04-25 About
 
 Re: Squaring the HTTP-range-14 circle
 
 Tags:
 
 httpRange-14
 Provocative idea
 Rant
 Richard Cyganiak
 Tim Berners-Lee
 Web of data
 
 The web of data will succeed *because* it conflates a thing and a web page about the thing. [TimBL's answer](https://lists.w3.org/Archives/Public/public-lod/2011Jun/0262.html)
 
 2011-12-17 About
 
 Open eBusiness Ontology Usage: Investigating Community Implementation of GoodRelations
 
 Tags:
 
 GoodRelations
 LDOW2011
 Richard Cyganiak
 
 Experimental results highlight that early publishers of structured eCommerce data benefit more due to structured data being more readily search engine indexable, but the lack of available product ontologies and product master datasheets is impeding the creation of a semantically interlinked eCommerce Web.
 
 2011-04-05 About
 
 Investigating Community Implementation of the GoodRelations Ontology
 
 Tags:
 
 GoodRelations
 Richard Cyganiak
 
 2011-04-05 About
 
 Linked Data Tutorial - Publishing and consuming linked data with RDFa
 
 Tags:
 
 Linked Data
 Michael Hausenblas
 RDFa
 Richard Cyganiak
 Tutorial
 
 2011-03-24 About
 
 Expressing Statistical Data in RDF with SDMX-RDF
 
 Tags:
 
 Richard Cyganiak
 SDMX-RDF
 Semantic Statistics
 
 2010-07-16 About
 
 What is SDMX-RDF?
 
 Tags:
 
 Richard Cyganiak
 SDMX-RDF
 Slides
 
 2010-07-16 About
 
 Richard Cyganiak: Sigma EE – Reaping low-hanging fruits in RDF-based data integration – I-SEMANTICS
 
 Tags:
 
 RDF bus
 Richard Cyganiak
 sig.ma
 
 Richard Cyganiak had a brilliant talk about how corporate data integration can benefit from RDF-Solutions, because a RDF based data concept can be developed step-by-step in contradiction to a “conservative corporate data integration” which always goes with a general redesign of the whole data-structure of a company. Richard calls this “pay as you go” – and I think this is what the industry looks for.” (from http://blog.semantic-web.at/2010/09/06/the-review-in-a-car/)
 
 2010-07-01 About
 
 Comments on Data 3.0 manifesto
 
 Tags:
 
 Entity-attribute-value model
 Kingsley Idehen
 LOD mailing list
 Richard Cyganiak
 
 2010-04-26 About
 
 ESWC2008 Conference Data
 
 Tags:
 
 Chris Bizer
 ESWC
 Linked Data
 Richard Cyganiak
 
 This page provides an overview about different access mechanisms to the RDF dataset about the 5th European Semantic Web Conference (ESWC2008) and explains how the dataset can be used within different Semantic Web applications.
 
 2008-05-29 About
 
 [Linking-open-data] Fw: linking geonames concepts to wikipedia and other concept
 
 Tags:
 
 Bernard Vatant
 dbpedia
 Linked Data
 Richard Cyganiak
 Semantics of skos:Concept
 
 2008-05-15 About
 
 Demande 258: Patch for improved IE support - Tabulator Issue Tracker
 
 Tags:
 
 Javascript RDF Parser in IE
 Richard Cyganiak
 
 2008-04-01 About
 
 Weaving SIOC into the Web of Linked Data
 
 Tags:
 
 Alexandre Passant
 LDOW2008
 Richard Cyganiak
 SIOC
 
 2008-03-30 About
 
 [Linking-open-data] Returning to backlinks
 
 Tags:
 
 Linked Data
 LOD: Limitations on browseable data
 LOD mailing list
 Richard Cyganiak
 Tim Berners-Lee
 
 The idea is to formalize the notion “If you're interested in values of a certain property, go look over there.”
 
 2007-09-19 About
 
 From Wikipedia URI-s to DBpedia URI… « Ivan’s blog
 
 Tags:
 
 Ivan Herman
 Richard Cyganiak
 Wikipedia page to concept
 
 2007-08-01 About
 
 How to publish Linked Data on the Web?
 
 Tags:
 
 Chris Bizer
 Linked Data
 Richard Cyganiak
 Tom Heath
 
 2007-07-12 About
 
 How to publish Linked Data on the Web?
 
 Tags:
 
 Chris Bizer
 Howto
 Linked Data
 Richard Cyganiak
 Tom Heath
 
 2007-06-27 About
 
 dowhatimean.net » Less code: eRDF templates for RDF-driven web sites
 
 Tags:
 
 eRDF
 RDFa
 RDF-driven web sites
 Richard Cyganiak
 
 Let’s assume you have a web application driven by data from an RDF triple store. You generate HTML pages by querying the triple store and inserting the bits and pieces into an HTML template. Now if you add eRDF or RDFa annotations to the HTML template, in a way that reflects the original RDF data, then by definition the annotations completely specify what data you need to populate the page. And the template itself therefore must be sufficient to extract all the required triples from the store. No coding needed!
 
 2007-05-31 About
 
 dowhatimean.net » Content negotiation with hash URIs (long)
 
 Tags:
 
 Hash URIs
 Richard Cyganiak
 
 2007-04-03 About
 
 Cool URIs for the Semantic Web
 
 Tags:
 
 Hash URIs
 httpRange-14
 httpRange-14 (solution)
 Leo Sauermann
 Richard Cyganiak
 
 303 URIs and hash URIs
 
 2007-04-03 About
 
 [Linking-open-data] Re: Forms in the web of data (Richard Cyganiak)
 
 Tags:
 
 Good
 Linked Data
 RDF forms
 Richard Cyganiak
 
 2007-03-20 About
 
 Re: AW: Content negotiation flamewar (was: Re: "Hash URIs" and content negotiation) from Richard Cyganiak on 2006-11-13 (semantic-web@w3.org from November 2006)
 
 Tags:
 
 Content negotiation
 httpRange-14
 Richard Cyganiak
 
 If foo is another kind of resources (e.g. a person), then you *must* do a 303 redirect to the location where a description of foo is available. You can 303-redirect to different locations based on accept headers. Post-httpRange-14, the only way to serve a description of a non-information resource without a second request is to use hash URIs.
 
 2007-01-02 About
 
 dowhatimean.net » [juc] François-Paul Servant – Semanlink
 
 Tags:
 
 LinkTo Semanlink
 Richard Cyganiak
 
 > Unlike most tagging systems, Semanlink lets you arrange tags into a concept hierarchy > > It’s a del.icio.us on steroids. The UI is not yet quite streamlined enough for my taste, but it looks usable. It’s technologically simple – Jena memory model, file-based persistence – so it should be hackable. Quite cool.
 
 2006-05-13 About
 - Rupert Westenthaler
 
 redlink
 
 Tags:
 
 Apache Marmotta
 John Pereira
 Rupert Westenthaler
 Semantic startup
 Solr
 Stanbol
 
 2015-03-09 About
 - Sebastian Germesin
 
 Semantic UI Development with VIE | IKS Blog – The Semantic CMS Community
 
 Tags:
 
 Sebastian Germesin
 VIE Vienna IKS Editables
 
 2012-06-15 About
 - Sebastian Schaffert
 
 LindaProposal - Incubator Wiki
 
 Tags:
 
 Apache Marmotta
 Sebastian Schaffert
 
 The goal of Apache Linda is to provide an open implementation of a Linked Data Platform that can be used, extended, and deployed easily by organizations who want to publish Linked Data or build custom applications on Linked Data.
 
 2012-11-19 About
 - Shelley Powers
 
 Mad Techie Woman
 
 Tags:
 
 Shelley Powers
 
 2007-01-24 About
 
 Burningbird » ‘allo Jena
 
 Tags:
 
 Jena User Conference
 Shelley Powers
 
 2006-04-13 About
 
 Burningbird » Cheap Eats at the Semantic Web Café
 
 Tags:
 
 Folksonomies vs ontologies
 Shelley Powers
 Tagging
 Technorati
 
 2006-02-28 About
 
 Burningbird » Portable Data
 
 Tags:
 
 RDF in files
 Semanlink related
 Shelley Powers
 
 This is the true power of RDF over relational: relational doesn’t work well with isolated, discrete objects, while RDF does. It is a truly portable database. Anyone can drop the data in at their sites without worry about having to create a database, or manage it. As for portability: how easy can you copy files?
 
 2005-10-14 About
 - Sören Auer
 
 The Semantic Puzzle | The hype, the hope and the LOD2: Sören Auer engaged in the next generation LOD
 
 Tags:
 
 LOD2
 Sören Auer
 
 2011-05-12 About
 - Stefano Mazzocchi
 
 Stefano's Linotype ~ Folksologies: de-idealizing ontologies
 
 Tags:
 
 Folksonomy
 Stefano Mazzocchi
 Tag ontology
 
 2007-01-09 About
 
 Stefano Mazzocchi's Home Page
 
 Tags:
 
 Stefano Mazzocchi
 
 2005-10-28 About
 
 Stefano's Linotype ~ Piggy Bank, Cocoon and the Future of the Web
 
 Tags:
 
 Cocoon
 Mozilla
 Piggy Bank
 SIMILE
 Stefano Mazzocchi
 
 At the heart of Piggy Bank, there is a web server running inside your web browser. It's running a servlet, a minimal RESTful framework... When people ask me what I do for a living, I say that I research what the web of the future could be. At that point, they ask me to give them an example of what that would mean for them. My usual reply is "if we are successful, the only difference you'll perceive is that you won't feel as constantly lost as you feel today". At that point they smile, happy to meet a technologist who thinks it's his fault, not theirs, if they can't do something with his software.
 
 2005-10-27 About
 
 Stefano's Linotype ~ Data First vs. Structure First
 
 Tags:
 
 Good
 RDF
 Semantic Web
 Software design
 Stefano Mazzocchi
 
 2005-10-12 About
 - Steve Cayzer
 semblog
 
 WIT - The Add-A-Tag algorithm
 
 Tags:
 
 Steve Cayzer
 Tagging
 
 If a user's tagging data is treated as a continuous stream of information about a user's interests, it can be used to create a rich user profile. The profile should represent the most important parts of a user's behaviour. Both persistent long-term interests and transient short-term interests should co-exist in the profile.
 
 2007-04-03 About
 
 Howto build a Snippet Manager
 
 Tags:
 
 Snippet Manager
 Steve Cayzer
 
 In our research group, there is a need to capture, organize and share resources associated with a domain of exploration. We are building a tool for this task, based on previous experience in the knowledge management domain. In this position paper, we present our thoughts on what works (and what doesn’t work), together with details of our initial implementation.
 
 2006-03-11 About
 - Tim Berners-Lee
 Tabulator
 
 30 ans du Web : « Il n’est pas trop tard pour changer le Web », affirme Tim Berners-Lee
 
 Tags:
 
 Tim Berners-Lee
 
 2019-03-12 About
 
 Solid: Linked Data for personal data management
 
 Tags:
 
 Ruben Verborgh
 Solid
 Tim Berners-Lee
 
 2018-10-09 About
 
 L’inventeur du Web exhorte à réguler l’intelligence artificielle
 
 Tags:
 
 AI: dangers
 Antoine Bordes
 TheWebConf 2018
 Tim Berners-Lee
 Vint Cerf
 
 2018-04-28 About
 
 Tim Berners-Lee on the future of the web: 'The system is failing' | Technology | The Guardian
 
 Tags:
 
 Future of the web
 The Web is dying
 Tim Berners-Lee
 
 > The way ad revenue works with clickbait is not fulfilling the goal of helping humanity promote truth and democracy. So I am concerned
 
 2017-11-16 About
 
 On EME in HTML5 | W3C Blog
 
 Tags:
 
 DRM in HTML 5
 EME
 Tim Berners-Lee
 
 2017-04-02 About
 
 On EME in HTML5 | W3C Blog
 
 Tags:
 
 DRM in HTML 5
 Encrypted Media Extensions
 Tim Berners-Lee
 
 2017-02-28 About
 
 What I wish Tim Berners-Lee understood about DRM | Technology | The Guardian
 
 Tags:
 
 DRM
 DRM in HTML 5
 DVD
 Tim Berners-Lee
 
 2016-09-17 About
 
 keygen being destroyed when we need it from Tim Berners-Lee on 2015-09-01 (www-tag@w3.org from September 2015)
 
 Tags:
 
 public key cryptography in browsers
 Tim Berners-Lee
 
 2015-09-17 About
 
 The ability to automatically upgrade a reference to HTTPS from HTTP from Tim Berners-Lee on 2014-08-22 (semantic-web@w3.org from August 2014)
 
 Tags:
 
 HTTPS
 Tim Berners-Lee
 
 2014-08-30 About
 
 Steve Jobs and the actually usable computer - W3C Blog
 
 Tags:
 
 Steve Jobs
 Tim Berners-Lee
 
 TBL about Steve Jobs
 
 2012-07-06 About
 
 Tim Berners-Lee: demand your data from Google and Facebook | Technology | guardian.co.uk
 
 Tags:
 
 Facebook
 Personal data
 Tim Berners-Lee
 
 2012-04-18 About
 
 Re: Squaring the HTTP-range-14 circle
 
 Tags:
 
 httpRange-14
 Provocative idea
 Rant
 Richard Cyganiak
 Tim Berners-Lee
 Web of data
 
 The web of data will succeed *because* it conflates a thing and a web page about the thing. [TimBL's answer](https://lists.w3.org/Archives/Public/public-lod/2011Jun/0262.html)
 
 2011-12-17 About
 
 Read-Write linked data - Design Issues
 
 Tags:
 
 Read-Write Linked Data
 Tim Berners-Lee
 Web architecture
 
 2011-03-08 About
 
 No Snooping
 
 Tags:
 
 Publicité Internet
 Tim Berners-Lee
 
 The act of reading, like the act of writing, is a pure, fundamendal, human act. It must be available without interference or spying.
 
 2011-03-08 About
 
 Linked Data - The Story So Far
 
 Tags:
 
 Chris Bizer
 Linked Data
 Tim Berners-Lee
 Tom Heath
 
 2011-03-08 About
 
 Socially aware cloud storage - Design Issues
 
 Tags:
 
 Cloud
 Social Web
 Tim Berners-Lee
 Web architecture
 WebID
 
 There is an architecture in which a few existing or Web protocols are gathered together with some glue to make a world wide system in which applications (desktop or Web Application) can work on top of a layer of commodity read-write storage. Crucial design issues are that principals (users) and groups are identifies by URIs, and so are global in scope, and that elements of storage are access controlled using those global identifiers. The result is that storage becomes a commodity, independent of the application running on it.
 
 2011-03-08 About
 
 Re: Is 303 really necessary?
 
 Tags:
 
 httpRange-14
 Tim Berners-Lee
 
 2010-12-28 About
 
 Using RDF Metadata To Enable Access Control on the Social Semantic Web
 
 Tags:
 
 Access Control
 foaf+ssl
 Social Semantic Web
 Tim Berners-Lee
 
 James Hollenbach, Joe Presbrey, and Tim Berners-Lee
 
 2010-12-06 About
 
 Fractal Web - Commentary on Web Architecture
 
 Tags:
 
 Tim Berners-Lee
 Web architecture
 
 The Scale-free nature of the Web
 
 2010-08-23 About
 
 Tim Berners-Lee on the next Web | Video on TED.com
 
 Tags:
 
 Linked Data
 Semantic web: evangelization
 TED
 Tim Berners-Lee
 
 2009-05-05 About
 
 The Evolution of a specification -- Commentary on Web
 
 Tags:
 
 Test of independent invention
 Tim Berners-Lee
 Web architecture
 
 2009-04-14 About
 
 -- Axioms of Web architecture
 
 Tags:
 
 Architecture
 Principle of least power
 Test of independent invention
 Tim Berners-Lee
 Web
 Web architecture
 
 2009-04-14 About
 
 The original proposal of the WWW, HTMLized
 
 Tags:
 
 Tim Berners-Lee
 
 2008-11-04 About
 
 My Life With Tim (Aaron Swartz's Raw Thought)
 
 Tags:
 
 Aaron Swartz
 Tim Berners-Lee
 
 2008-09-02 About
 
 Sir Tim Berners-Lee addresses WWW2008 in Beijing
 
 Tags:
 
 Paul Miller
 Tim Berners-Lee
 WWW 2008
 
 2008-06-22 About
 
 SitePoint Blogs » WWW2008 Beijing: Day 1 - Linked Data on the Web (LDOW 2008) Workshop
 
 Tags:
 
 David Peterson
 LDOW2008
 Tabulator
 Tim Berners-Lee
 
 2008-05-04 About
 
 THE SEMANTIC WEB: AN INTERVIEW WITH TIM BERNERS-LEE - Consortiuminfo.org Consortium Standards Bulletin- June 2005
 
 Tags:
 
 Semantic web: evangelization
 Tim Berners-Lee
 
 2008-03-04 About
 
 Alternative to 303 response: Description-ID: header From: Tim Berners-Lee
 
 Tags:
 
 httpRange-14
 Tim Berners-Lee
 
 I did wonder about the following: in the case when the URI is not of document, when currently we use 303, then the server can return a document *about* it with an extra header to explain to the browser that it is actually giving you a description of it not the content of it.
 
 2008-01-03 About
 
 Giant Global Graph | Decentralized Information Group (DIG) Breadcrumbs
 
 Tags:
 
 Graph
 Tim Berners-Lee
 
 2007-11-23 About
 
 Abstractions in Web architecture - Design Issues
 
 Tags:
 
 Tim Berners-Lee
 Web architecture
 
 The Semantic Web's realization is: It is isn't the documents which are actually interesting, it is the things they are about!
 
 2007-11-14 About
 
 [Linking-open-data] Returning to backlinks
 
 Tags:
 
 Linked Data
 LOD: Limitations on browseable data
 LOD mailing list
 Richard Cyganiak
 Tim Berners-Lee
 
 The idea is to formalize the notion “If you're interested in values of a certain property, go look over there.”
 
 2007-09-19 About
 
 Rules and Formulae
 
 Tags:
 
 N3
 Rules
 Tim Berners-Lee
 
 2007-02-08 About
 
 Semantic Web Tutorial Using N3
 
 Tags:
 
 N3
 Tim Berners-Lee
 Tutorial
 
 2007-02-08 About
 
 Using labels to give semantics to tags - Design Issues
 
 Tags:
 
 Semanlink related
 Tagging
 Tim Berners-Lee
 
 This article discusses how the user interface metaphor of a luggage label cam used to associate metadata from well-defined ontology with tags from a particular context. I heard of one online community which was considering making a system to allow one formally to state when one has committed to use a given tag in the same way as another person, or growing mesh of people. That would be a very interesting feature, as it would allow a useful definition to gain growing acceptance, to progressively move from being a private idea to being a group global standard. 
 
 2007-02-08 About
 
 Links on the Semantic Web
 
 Tags:
 
 AJAR
 Linked Data
 Tim Berners-Lee
 
 2007-01-02 About
 
 Linked Data - Design Issues
 
 Tags:
 
 Linked Data
 Tim Berners-Lee
 
 The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML, for data they links between arbitrary things described by RDF,. The URIs identify any kind of object or concept. But for HTML or RDF, the same expectations apply to make the web grow: <ol> <li>Use URIs as names for things</li> <li>Use HTTP URIs so that people can look up those names.</li> <li>When someone looks up a URI, provide useful information.</li> <li>Include links to other URIs. so that they can discover more things.</li> </ol> Simple. In fact, though, a surprising amount of data isn't linked in 2006, because of problems with one or more of the steps. This article discusses solutions to these problems, details of implementation, and factors affecting choices about how you publish your data.
 
 2007-01-02 About
 
 What do HTTP URIs Identify? - Design Issues
 
 Tags:
 
 httpRange-14
 Tim Berners-Lee
 URI
 Web architecture
 
 "This was a result of my being in a minority with this opinion on the Technical Architecture Group, and yet finding it the only one I could accept. This is related to TAG issue HTTPRange-14." (TBL)
 
 2007-01-02 About
 
 The Semantic Web Revisited
 
 Tags:
 
 Semantic web: evangelization
 Semantic Web : introduction
 Tim Berners-Lee
 
 An update to the 2001 Scientific American article.
 
 2006-07-14 About
 
 Give yourself a URI
 
 Tags:
 
 foaf
 Tim Berners-Lee
 URI
 
 2006-01-27 About
 
 Delta: an ontology for the distribution of differences between RDF graphs
 
 Tags:
 
 Dan Connolly
 Dev
 RDF graphs
 Tim Berners-Lee
 
 2005-12-16 About
 
 Berners-Lee - Sem Web Life Sciences - Bio-IT world
 
 Tags:
 
 RDF bus
 Semantic Integration Hub
 Semantic Web : introduction
 Tim Berners-Lee
 
 "Keep your existing systems running, adapt them"
 
 2005-11-23 About
 
 Consortium Standards Bulletin - THE SEMANTIC WEB: AN INTERVIEW WITH TIM BERNERS-LEE
 
 Tags:
 
 Semantic Web
 Tim Berners-Lee
 
 2005-07-04 About
 
 Science & Technology at Scientific American.com: The Semantic Web -- A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities
 
 Tags:
 
 Tim Berners-Lee
 
 2005-06-21 About
 - Tom Heath
 Uriqr
 
 Open Data Institute | Knowledge for everyone
 
 Tags:
 
 Open Data
 Tom Heath
 
 2013-07-18 About
 
 Populating Personal Linked Data Caches using Context Models [PDF]
 
 Tags:
 
 Linked Data Cache
 Personal data
 Tom Heath
 
 2013-01-07 About
 
 Linked Data: Evolving the Web into a Global Data Space
 
 Tags:
 
 Chris Bizer
 Howto
 Linked Data
 Tom Heath
 Web of data
 
 Superseds the <a href="http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/">paper</a> by C. Bizer, T. Heath and cygri
 
 2012-11-22 About
 
 Talis Aspire
 
 Tags:
 
 Linked Learning
 Linked Learning 2012
 Semantic CMS
 Talis
 Tom Heath
 
 2012-04-17 About
 
 Linked Data - The Story So Far
 
 Tags:
 
 Chris Bizer
 Linked Data
 Tim Berners-Lee
 Tom Heath
 
 2011-03-08 About
 
 Why Carry the Cost of Linked Data? – Tom Heath’s Displacement Activities
 
 Tags:
 
 Cost of Linked Data
 Government data as Linked Data
 Tom Heath
 
 2010-07-30 About
 
 web - Tom Heath's Displacement Activities
 
 Tags:
 
 LinkTo Semanlink
 Tom Heath
 
 2007-09-18 About
 
 Applications Built on Jena - Tom Heath's Displacement Activities - by tomheath
 
 Tags:
 
 Jena
 LinkTo Semanlink
 Tom Heath
 
 2007-08-22 About
 
 How to publish Linked Data on the Web?
 
 Tags:
 
 Chris Bizer
 Linked Data
 Richard Cyganiak
 Tom Heath
 
 2007-07-12 About
 
 How to publish Linked Data on the Web?
 
 Tags:
 
 Chris Bizer
 Howto
 Linked Data
 Richard Cyganiak
 Tom Heath
 
 2007-06-27 About
 - Yrjänä Rankka
 
 Yrjänä Rankka 🌻 sur X : "@ParisHilton You are a disambiguation benchmark for semantic reasoning." / X (2018)
 
 Tags:
 
 Rigolo
 Semantic Web
 Tweet
 Yrjänä Rankka
 
 > Tell me something I don't know...
 
 2024-03-07 About
 
 Yrjänä Rankka @ghard@mastodon.social sur Twitter : "Facebook must be razed to the ground..."
 
 Tags:
 
 DeleteFB
 Tweet
 Yrjänä Rankka
 
 > Facebook must be razed to the ground leaving no stone on top of another. Spread salt on the ruins so nothing shall grow where it once was. Erase the very memory of it. Carthago delenda est
 
 2020-12-13 About
 - Yves Raymond
 DBTune
 
 Time, Context and Causality in Recommender Systems
 
 Tags:
 
 France is AI 2018
 Recommender Systems
 Slides
 Yves Raymond
 
 2018-10-18 About
 
 COMMA - shining a light into the archives - Blog - BBC R&D
 
 Tags:
 
 BBC
 Yves Raymond
 
 2014-06-23 About
 
 Current and future uses of Semantic Web technologies at the BBC
 
 Tags:
 
 BBC
 BBC semantic publishing
 Slides
 Yves Raymond
 
 2013-09-07 About
 
 Notes from the WWW 2012 conference
 
 Tags:
 
 WWW 2012
 Yves Raymond
 
 2012-04-30 About
 
 Automated interlinking of speech radio archives
 
 Tags:
 
 Automatic tagging
 BBC semantic publishing
 LDOW2012
 NLP
 Yves Raymond
 
 2012-04-14 About
 
 BBC - Research and Development: Automatically tagging the World Service archive
 
 Tags:
 
 Automatic tagging
 BBC
 Yves Raymond
 
 2012-03-23 About
 
 Use of Semantic Web technologies on the BBC Web Sites
 
 Tags:
 
 BBC
 BBC - Programmes
 Semantic Web
 semantic web sites
 Yves Raymond
 
 2011-02-02 About
 
 BBC - Radio Labs: Brands, series, categories and tracklists on the new BBC Programmes
 
 Tags:
 
 BBC - Programmes
 Linked Data
 Yves Raymond
 
 The general philosophy behind BBC Programmes is that our web site is our API
 
 2011-01-18 About
 
 First BBC microsite powered by a triple-store - DBTune blog
 
 Tags:
 
 BBC
 Triple-store powered site
 Yves Raymond
 
 2010-07-16 About
 
 Music recommendation and Linked Data - DBTune blog
 
 Tags:
 
 DBTune
 Linked Data
 Yves Raymond
 
 2009-11-12 About
 
 Music Ontology Specification
 
 Tags:
 
 Frederick Giasson
 Musique
 Ontologies
 Yves Raymond
 
 2007-09-27 About
 
 [Linking-open-data] Equivalence miner
 
 Tags:
 
 Equivalence mining
 Jamendo
 MusicBrainz
 Yves Raymond
 
 In order to map the Jamendo dataset to the Musicbrainz dataset, I developed a small equivalence miner. The main problem was that it was impossible to use literal lookup techniques for these datasets - many small bands have the same name, some are just represented in the jamendo dataset but there are some matching names in the musicbrainz dataset, etc. This equivalence miner does two things: it disambiguates and propagates equivalence relationships. Moreover, it works in a linked data style (the only input data it "needs" is a start URI).
 
 2007-06-13 About
 - SW has failed
 - RDF Fails
 
 Three reasons why the Semantic Web has failed — Tech News and Analysis
 
 Tags:
 
 SW has failed
 Synaptic Web
 
 2014-02-03 About
 - SW Wiki
 - Text to semantic data
 - Uncertainty Reasoning AND Semantic Web
 - VoCamp
 - HypiosVoCampParisMay2010
 
 Annotations Ontology
 
 Tags:
 
 Annotations (java)
 HypiosVoCampParisMay2010
 
 2010-05-20 About
 
 Hypios VoCamp Paris 2010 - a set on Flickr
 
 Tags:
 
 HypiosVoCampParisMay2010
 
 2010-05-14 About
 
 NoTube semantic television project - making television more personal
 
 Tags:
 
 HypiosVoCampParisMay2010
 Télévision
 
 2010-05-14 About
 
 HypiosVoCampParisMay2010
 
 Tags:
 
 HypiosVoCampParisMay2010
 
 2010-05-14 About
 - W3C Data Activity
 - Web 3.0
- Social Networks
 - ActivityPub
 - Decentralized social network
 - Solid
 
 D-CENT
 
 Tags:
 
 Decentralized social network
 Privacy and internet
 
 D-CENT is a Europe-wide project creating privacy-aware tools and applications for direct democracy and economic empowerment. Together with the citizens and developers, we are creating a decentralised social networking platform for large-scale collaboration and decision-making.
 
 2014-09-16 About
 - Facebook
 - AI@Facebook
 Facebook FAIR
 faiss
 
 Karl Higley sur Twitter : "Many ANN search tools (e.g. FAISS, ScaNN) allow you to provide multiple points as part of the same query..."
 
 Tags:
 
 faiss
 Neural Search
 Retriever-Reader
 Tweet
 
 > Puzzled why more retrieval models don’t take advantage of this. Give me 100 neighbors of ten points, not 1000 neighbors of one point! (Then score and order them.)
 
 2022-08-20 About
 
 How to Build a Semantic Search Engine With Transformers and Faiss | by Kostas Stathoulopoulos | Towards Data Science
 
 Tags:
 
 faiss
 NLP sample code
 Semantic Search
 
 2022-01-29 About
 
 James Briggs sur Twitter : *free* course on vector similarity search and Faiss..."
 
 Tags:
 
 Cosine similarity
 faiss
 Nearest neighbor search
 Tutorial
 
 2021-10-16 About
 
 Finding similar documents with transformers · Codegram
 
 Tags:
 
 faiss
 huggingface / transformers
 Identification of similar documents
 NLP and Search
 NLP sample code
 
 2020-07-10 About
 
 facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.
 
 Tags:
 
 Facebook FAIR
 faiss
 GitHub project
 KD-MKB biblio
 Locality Sensitive Hashing
 Nearest neighbor search
 
 Algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. Faiss is written in C++ with complete wrappers for Python/numpy. [paper](https://arxiv.org/abs/1702.08734)
 
 2020-06-09 About
 
 ParlAI
 
 Sea - Internet-Augmented Dialogue Generation
 
 Tags:
 
 Conversational AI
 Discussed with NS
 ParlAI
 
 an approach that learns to generate an internet search query based on the context, and then conditions on the search results to finally generate a response, a method that can employ up-to-the-minute relevant information.
 
 2021-11-25 About
 
 [1705.06476] ParlAI: A Dialog Research Software Platform
 
 Tags:
 
 Antoine Bordes
 ParlAI
 
 2021-11-21 About
 
 Tutorial: Training AI bots to chat using MTurk and Facebook’s ParlAI | by Amazon Mechanical Turk | Happenings at MTurk
 
 Tags:
 
 Amazon Mechanical Turk
 Discussed with NS
 ParlAI
 Tutorial
 
 2021-11-19 About
 
 ParlAI
 
 Tags:
 
 ParlAI
 
 > unified platform for sharing, training and evaluating dialogue models across many tasks.
 
 2021-11-19 About
 
 Blenderbot2
 
 Tags:
 
 Discussed with NS
 Long-term conversation (chatbot)
 ParlAI
 
 > - A chatbot with its own **long-term memory** and **the ability to access the internet**.
 
 2021-11-19 About
 
 [2007.00077] Similarity Search for Efficient Active Learning and Search of Rare Concepts
 
 Tags:
 
 Active learning
 AI@Stanford
 Arxiv Doc
 Facebook FAIR
 Imbalanced Data
 Nearest neighbor search
 
 > Similarity search for Efficient Active Learning and Search (SEALS) In [Active Learning](tag:active_learning): instead of searching globally for the optimal examples to label, leverage the fact that data is often heavily skewed and expand the candidate pool with the nearest neighbors of the labeled set. > Our work attacks **both the labeling and computational costs of machine learning**...SEALS dramatically reduces the barrier to machine learning, enabling small teams or individuals to build accurate classifiers. **SEALS does, however, introduce another system component, a similarity search index, which adds some additional engineering complexity** to build, tune, and maintain. Fortunately, several highly optimized implementations like Annoy and [Faiss](doc:2020/06/facebookresearch_faiss_a_libra) work reasonably well out of the box.
 
 2020-07-02 About
 
 facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.
 
 Tags:
 
 Facebook FAIR
 faiss
 GitHub project
 KD-MKB biblio
 Locality Sensitive Hashing
 Nearest neighbor search
 
 Algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. Faiss is written in C++ with complete wrappers for Python/numpy. [paper](https://arxiv.org/abs/1702.08734)
 
 2020-06-09 About
 
 [1912.01412] Deep Learning for Symbolic Mathematics
 
 Tags:
 
 Arxiv Doc
 Connectionist vs symbolic debate
 Deep Learning
 Facebook FAIR
 Guillaume Lample
 Mathématiques
 NLP@Facebook
 
 2019-12-09 About
 
 Improving long-form question answering by compressing search results
 
 Tags:
 
 AI@Facebook
 Facebook FAIR
 Knowledge Graphs and NLP
 Question Answering
 
 Facebook AI has developed a new method that improves the performance of long-form question answering models by compressing the text that’s used to train them, turning 300,000-word sections into 10,000-word linearized knowledge graphs
 
 2019-10-24 About
 
 [1802.07044] The Description Length of Deep Learning Models
 
 Tags:
 
 Arxiv Doc
 DL: why does it work?
 Facebook FAIR
 Information theory AND Deep Learning
 Minimum Description Length Principle
 NLP@ENS
 Occam's razor
 Overfitting/Generalization
 
 > Solomonoff’s general theory of inference (Solomonoff, 1964) and the [Minimum Description Length Principle](tag:minimum_description_length_principle) (Grünwald, 2007; Rissanen, 2007) formalize [Occam's razor](tag:occam_s_razor), and hold that **a good model of data is a model that is good at losslessly compressing the data, including the cost of describing the model itself**. Deep neural networks might seem to go against this principle given the large number of parameters to be encoded. We demonstrate experimentally the ability of deep neural networks to compress the training data even when accounting for parameter encoding.
 
 2019-10-11 About
 
 [1909.01066] Language Models as Knowledge Bases?
 
 Tags:
 
 Arxiv Doc
 Facebook FAIR
 Knowledge Graph + Deep Learning
 Language Model
 Language Models as Knowledge Bases
 NLP@Facebook
 
 an analysis of the relational knowledge present in pretrained language models shows an ability of these models to recall factual knowledge
 
 2019-09-05 About
 
 PyTorch-BigGraph: Faster embeddings of large graphs - Facebook Code
 
 Tags:
 
 Facebook FAIR
 GitHub project
 Graph Embeddings
 PyTorch
 
 > A new tool from Facebook AI Research that enables training of multi-relation graph embeddings for very large graphs. PyTorch-BigGraph (PBG) handles graphs with billions of nodes and trillions of edges. Since PBG is written in PyTorch, researchers and engineers can easily swap in their own loss functions, models, and other components. [Github](https://github.com/facebookresearch/PyTorch-BigGraph), [Blog post](https://ai.facebook.com/blog/open-sourcing-pytorch-biggraph-for-faster-embeddings-of-extremely-large-graphs)
 
 2019-05-12 About
 
 NLP@Facebook
 BlenderBot
 
 BlenderBot 3: A 175B parameter, publicly available chatbot that improves its skills and safety over time
 
 Tags:
 
 BlenderBot
 
 2022-08-09 About
 
 BLINK
 
 [1911.03814] Scalable Zero-shot Entity Linking with Dense Entity Retrieval
 
 Tags:
 
 Arxiv Doc
 BERT-based entity linking
 BLINK
 Entity Retrieval
 NLP@Facebook
 Retriever-Reader
 Zero-shot Entity Linking
 
 > a two stage approach, based on fine-tuned BERT architectures. In the first stage, we do retrieval in a dense space defined by a bi-encoder that independently embeds the mention context and the entity descriptions (Humeau et al., 2019; Gillick et al., 2019). Each retrieved candidate is then examined more carefully with a cross-encoder that concatenates the mention and entity text,
 
 2020-05-02 About
 
 Sebastian Riedel sur Twitter : Happy to introduce BLINK, the @facebookai open-source entity linker!...
 
 Tags:
 
 BLINK
 Tweet
 
 > BLINK outperforms previous linkers, is easy to use and very fast
 
 2020-05-02 About
 
 CamemBERT
 FastText
 
 Building a sentence embedding index with fastText and BM25 | by David Mezzetti | Towards Data Science
 
 Tags:
 
 BM25
 FastText
 Sentence Embeddings
 txtai
 
 > This [article](https://towardsdatascience.com/building-a-sentence-embedding-index-with-fasttext-and-bm25-f07e7148d240) covers sentence embeddings and how codequestion built **a fastText + BM25 embeddings search**. Source code can be found on github. Same people as [neuml/txtai: Build AI-powered semantic search applications](doc:2021/09/neuml_txtai_build_ai_powered_s)
 
 2021-09-30 About
 
 Open-sourcing hyperparameter autotuning for fastText
 
 Tags:
 
 FastText
 
 2019-08-27 About
 
 Cheatsheet · fastText
 
 Tags:
 
 Cheat sheet
 FastText
 
 2019-01-29 About
 
 Using FastText models (not vectors) for robust embeddings | Kaggle
 
 Tags:
 
 FastText
 OOV
 
 2019-01-29 About
 
 Under the hood: Multilingual embeddings | Engineering Blog | Facebook Code
 
 Tags:
 
 FastText
 Multilingual embeddings
 NLP@Facebook
 
 With this technique, embeddings for every language exist in the same vector space, and maintain the property that words with similar meanings (regardless of language) are close together in vector space > To train these multilingual word embeddings, we first trained separate embeddings for each language using fastText and a combination of data from Facebook and Wikipedia. We then used dictionaries to project each of these embedding spaces into a common space (English). The dictionaries are automatically induced from parallel data — meaning data sets that consist of a pair of sentences in two different languages that have the same meaning — which we use for training translation systems.
 
 2018-05-11 About
 
 GitHub - Babylonpartners/fastText_multilingual: Multilingual word vectors
 
 Tags:
 
 FastText
 Multilingual embeddings
 
 Aligning the fastText vectors of 78 languages. > In a recent paper at ICLR 2017, we showed how the SVD can be used to learn a linear transformation (a matrix), which aligns monolingual vectors from two languages in a single vector space. In this repository we provide 78 matrices, which can be used to align the majority of the fastText languages in a single space. [How to align two vector spaces for myself!](https://github.com/Babylonpartners/fastText_multilingual/blob/master/align_your_own.ipynb)
 
 2018-05-11 About
 
 [1712.09405] Advances in Pre-Training Distributed Word Representations
 
 Tags:
 
 Arxiv Doc
 FastText
 NLP@Facebook
 Tomas Mikolov
 Word2vec
 Word embeddings
 
 > we show how to train high-quality word vector representations by using a combination of known tricks that are however rarely used together. The main result of our work is the new set of publicly available pre-trained models that outperform the current state of the art by a large margin on a number of tasks
 
 2017-12-29 About
 
 facebookresearch/MUSE: A library for Multilingual Unsupervised or Supervised word Embeddings
 
 Tags:
 
 Cross-lingual NLP
 FastText
 Guillaume Lample
 Multilingual embeddings
 NLP@Facebook
 Word embeddings
 
 2017-12-22 About
 
 (fastText) Euclidean distance instead of cosine-similarity?
 
 Tags:
 
 Cosine similarity
 FastText
 Pointwise mutual information
 
 **the norm of a word vector is somewhat related to the overall frequency** of which words occur in the training corpus (so a common word like "frog" will still be similar to a less frequent word like "Anura" which is it's scientific name) (Hence the use of cosine-distance) > That the inner product relates to the PMI between the vectors is for the most part an empirical result and there is very little theoretical background behind this finding
 
 2017-12-07 About
 
 How can we get the vector of a paragraph? · Issue #26 · facebookresearch/fastText
 
 Tags:
 
 Document embeddings
 FastText
 
 2017-11-25 About
 
 How to use pre-trained word vectors from Facebook’s fastText
 
 Tags:
 
 FastText
 gensim
 NLP sample code
 Python sample code
 
 2017-11-25 About
 
 [1607.01759] Bag of Tricks for Efficient Text Classification
 
 Tags:
 
 Arxiv Doc
 FastText
 NLP@Facebook
 Sentence Embeddings
 Text Classification
 Tomas Mikolov
 
 A simple and efficient baseline for text classification. **Our word features can be averaged** together to form good sentence representations. Our experiments show that fastText is often on par with deep learning classifiers in terms of accuracy, and many orders of magnitude faster for training and evaluation. We can train fastText on more than one billion words in less than ten minutes using a standard multicore~CPU, and classify half a million sentences among~312K classes in less than a minute.
 
 2017-09-10 About
 
 gensim/FastText_Tutorial.ipynb
 
 Tags:
 
 FastText
 gensim
 
 2017-06-28 About
 
 facebookresearch/fastText: Library for fast text representation and classification.
 
 Tags:
 
 FastText
 GitHub project
 
 2017-06-28 About
 
 ParlAI
 Poincaré Embeddings
 
 [2010.00402] From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
 
 Tags:
 
 AI@Google
 AI@Stanford
 Arxiv Doc
 Hierarchical Clustering
 Poincaré Embeddings
 
 > The key idea of our method, HypHC, is showing a direct correspondence from discrete trees to continuous representations (via the hyperbolic embeddings of their leaf nodes) and back (via a decoding algorithm that maps leaf embeddings to a dendrogram), **allowing us to search the space of discrete binary trees with continuous optimization**. Cites [Dasgupta: A cost function for similarity-based hierarchical clustering](https://arxiv.org/abs/1510.05043)
 
 2020-10-03 About
 
 [1910.03524] Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
 
 Tags:
 
 Arxiv Doc
 Geometry of language embeddings
 Graphs+Machine Learning
 Poincaré Embeddings
 Vector space model
 Yandex
 
 > In this paper, we aim to eliminate the inductive bias imposed by the embedding space geometry. Namely, we propose to map data into more general non-vector metric spaces: a weighted graph with a shortest path distance. By design, such graphs can model arbitrary geometry with a proper configuration of edges and weights. Our main contribution is PRODIGE (Probabilistic Differentiable Graph Embeddings): a method that learns a weighted graph representation of data end-to-end by gradient descent. [Github](https://github.com/stanis-morozov/prodige)
 
 2019-10-09 About
 
 HyperE: Hyperbolic Embeddings for Entities
 
 Tags:
 
 Entity embeddings
 Poincaré Embeddings
 
 hyperbolic entity embeddings for 100 Wikidata relationships
 
 2018-07-27 About
 
 Tutorial on Poincaré Embeddings (Jupyter Notebook )
 
 Tags:
 
 gensim
 Poincaré Embeddings
 Tutorial
 
 2018-05-20 About
 
 Implementing Poincaré Embeddings | RARE Technologies
 
 Tags:
 
 gensim
 Poincaré Embeddings
 
 2018-05-20 About
 
 [1705.08039] Poincaré Embeddings for Learning Hierarchical Representations
 
 Tags:
 
 Arxiv Doc
 NLP@Facebook
 Poincaré Embeddings
 Thèse IRIT-Renault: biblio initiale
 
 > While complex symbolic datasets often exhibit a latent hierarchical structure, state-of-the-art methods typically learn embeddings in Euclidean vector spaces, which do not account for this property. For this purpose, we introduce a new approach for learning hierarchical representations of symbolic data by embedding them into hyperbolic space
 
 2017-12-16 About
 
 StarSpace
 
 [Learning Note] StarSpace For Multi-label Text Classification
 
 Tags:
 
 Multi-label Text classification
 NLP@Facebook
 StarSpace
 
 2018-09-11 About
 
 [1709.03856] StarSpace: Embed All The Things!
 
 Tags:
 
 Arxiv Doc
 NLP@Facebook
 StarSpace
 
 2018-05-13 About
 
 elvis sur Twitter : "NEW: Meta AI introduces OPT-IML, a large language model (175B) fine-tuned on 2000 NLP tasks. Uses instruction-tuning to improve zero-shot and few-shot generalization abilities...."
 
 Tags:
 
 Language Model
 NLP@Facebook
 Tweet
 Zero shot
 
 2022-12-23 About
 
 [1904.04458] Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition
 
 Tags:
 
 Arxiv Doc
 Entity type
 Knowledge-augmented Language Models
 NLP@Facebook
 RNN based Language Model
 Unsupervised NER
 
 Knowledge Augmented Language Model (KALM) a language model with access to information available in a KB, no assumptions about the availability of additional components (such as Named Entity Taggers) or annotations > While classes of named entities (e.g., person or location) occur frequently, each individual name (e.g, Atherton or Zhouzhuang) may be observed infrequently even in a very large corpus of text. As a result language models learn to represent accurately only the most popular named entities > knowing that Alice is a name used to refer to a person should give ample information about the context in which the word may occur (e.g., Bob visited Alice). > --- > extends a traditional **RNN LM** > we enhance a traditional LM with a gating mechanism that controls whether a particular word is modeled as a general word or as a reference to an entity > > We train the model end-to-end with only the traditional predictive language modeling perplexity objective > > KALM is trained end-to-end using a predictive objective on large corpus of text. > To the best of our knowledge, KALM is the first unsupervised neural NER approach. > KALM extends a traditional, RNN-based neural LM.
 
 2022-08-31 About
 
 AllenNLP sur Twitter : "Dataset: training data for @MetaAI 's No Language Left Behind NLLB-200 models!..."
 
 Tags:
 
 AllenNLP
 Low-Resource Languages
 NLP@Facebook
 NLP datasets
 Tweet
 
 [No Language Left Behind](doc:2022/07/no_language_left_behind)
 
 2022-08-25 About
 
 Timo Schick sur Twitter : "PEER, a language model trained to incrementally write texts & collaborate w/ humans ..."
 
 Tags:
 
 Language Model
 NLP@Facebook
 Personal assistant
 Spellchecker
 Tweet
 
 [[2208.11663] PEER: A Collaborative Language Model](doc:2022/08/2208_11663_peer_a_collaborat)
 
 2022-08-25 About
 
 [2012.15156] A Memory Efficient Baseline for Open Domain Question Answering
 
 Tags:
 
 Arxiv Doc
 Gautier Izacard
 NLP@ENS
 NLP@Facebook
 Open Domain Question Answering
 
 2022-08-08 About
 
 [2208.03299] Few-shot Learning with Retrieval Augmented Language Model
 
 Tags:
 
 Arxiv Doc
 Few-shot learning
 Gautier Izacard
 NLP@ENS
 NLP@Facebook
 Retrieval augmented LM
 
 > Atlas, a retrieval-augmented language model capable of strong few-shot learning, despite having lower parameter counts than other powerful recent few-shot learners. [tweet](https://twitter.com/davisblalock/status/1564148889996836864?s=20&t=BnLM_O1HkTp7qJILF0DW8g)
 
 2022-08-08 About
 
 [2206.10658] Questions Are All You Need to Train a Dense Passage Retriever
 
 Tags:
 
 Arxiv Doc
 NLP@Facebook
 NLP@Google
 Open Domain Question Answering
 Retriever
 
 > **approach for training dense retrieval models that does not require any labeled training data**. Dense retrieval is a central challenge for open-domain tasks, such as Open QA, where state-of-the-art methods typically require large supervised datasets with custom hard-negative mining and denoising of positive examples. > > ART, in contrast, only requires access to unpaired inputs and outputs (e.g. questions and potential answer documents). > > It uses a new document-retrieval autoencoding scheme, where > 1. an input question is used to retrieve a set of evidence documents, and > 2. the documents are then used to compute the probability of reconstructing the original question. > > Training for retrieval based on question reconstruction enables effective unsupervised learning of both document and question encoders, which can be later incorporated into complete Open QA systems without any further finetuning. [Tweet](doc:2022/07/devendra_singh_sachan_sur_twitt) > Given an input question, ART first retrieves a small set of possible evidences documents. It then recon structs the original question by attending to these documents > > The key idea in ART is to consider the retrieved documents as a noisy representation of the original question and question reconstruction probability as a way of denoising that provides soft-labels for how likely each document is to have been the correct result Refers to [[IZACARD 2012.04584] Distilling Knowledge from Reader to Retriever for Question Answering](doc:2020/12/2012_04584_distilling_knowled)
 
 2022-07-06 About
 
 No Language Left Behind
 
 Tags:
 
 Low-Resource Languages
 NLP@Facebook
 
 [tweet](https://twitter.com/vedanujg/status/1544925973635690497?s=20&t=ZunLNurhmN7aHDmnzPO5yQ)
 
 2022-07-06 About
 
 Devendra Singh Sachan sur Twitter : "...Unsupervised Passage Re-ranker (UPR), an approach to re-rank retrieved passages for information retrieval tasks."
 
 Tags:
 
 Dense Passage Retrieval
 NLP@Facebook
 Retriever-Reader
 Tweet
 Unsupervised ranker
 Zero shot
 
 2022-04-18 About
 
 Jason Weston sur Twitter : "SeeKeR: An open source search-augmented language model"
 
 Tags:
 
 NLP@Facebook
 Retrieval augmented LM
 Tweet
 
 2022-03-25 About
 
 [2009.02252] KILT: a Benchmark for Knowledge Intensive Language Tasks
 
 Tags:
 
 Arxiv Doc
 Benchmark
 Knowledge-Intensive NLP Tasks
 NLP@Facebook
 
 2022-01-23 About
 
 [2005.11401] Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
 
 Tags:
 
 Arxiv Doc
 Discuté avec Raphaël
 Knowledge-Intensive NLP Tasks
 NLP@Facebook
 RAG (Retrieval-Augmented Generation)
 
 > We introduce RAG models where the parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed with a pre-trained neural retriever. > > [REALM](tag:realm) and ORQA, two recently introduced models that combine masked language models with a differentiable retriever... have only explored open-domain extractive question answering. Here, we bring hybrid parametric and non-parametric memory to the “workhorse of NLP,” i.e. sequence-to-sequence (seq2seq) models. > > RAG models use the input sequence x to retrieve text documents z and use them as additional context when generating the target sequence > > **A key feature of our memory is that it is comprised of raw text rather distributed representations**, which makes the memory both (i) human-readable, lending a form of interpretability to our model, and (ii) human-writable, enabling us to dynamically update the model’s memory by editing the document index
 
 2022-01-19 About
 
 [2112.09118] Towards Unsupervised Dense Information Retrieval with Contrastive Learning
 
 Tags:
 
 Arxiv Doc
 Contrastive Learning
 Dense Passage Retrieval
 Gautier Izacard
 NLP@ENS
 NLP@Facebook
 Unsupervised Domain Adaptation (NLP)
 
 > we explore the limits of contrastive learning as a way to train unsupervised dense retrievers, and show that it leads to strong retrieval performance. [openreview](https://openreview.net/forum?id=jKN1pXi7b0)
 
 2021-12-21 About
 
 facebookresearch/DrQA: Reading Wikipedia to Answer Open-Domain Questions
 
 Tags:
 
 ACL 2017
 Discussed with NS
 GitHub project
 NLP@Facebook
 Open Domain Question Answering
 Wikipedia
 
 > approach combines a search component based on bigram hashing and TF-IDF matching with a multi-layer recurrent neural network model trained to detect answers in Wikipedia paragraphs
 
 2021-12-08 About
 
 [1906.04980] Unsupervised Question Answering by Cloze Translation
 
 Tags:
 
 ACL 2019
 Arxiv Doc
 Ludovic Denoyer
 NLP@Facebook
 Synthetic QA data
 Unsupervised QA
 
 > Existing QA datasets are only available for limited domains and languages. In this work, we explore to what extent high quality training data is actually required for [Extractive QA](tag:extractive_question_answering), and investigate the possibility of unsupervised Extractive QA. > We approach this problem by **first learning to generate context, question and answer triples in an unsupervised manner, which we then use to synthesize Extractive QA training data** automatically. [Github](doc:2021/12/facebookresearch_unsupervisedqa)
 
 2021-12-08 About
 
 facebookresearch/UnsupervisedQA: Unsupervised Question answering via Cloze Translation
 
 Tags:
 
 Discussed with NS
 Extractive Question Answering
 GitHub project
 NLP@Facebook
 NLP datasets
 Synthetic QA data
 Unsupervised QA
 
 > This repository provides code to run pre-trained models to generate synthetic question answering question data. We also make a very large synthetic training dataset for extractive question answering available. [Paper](doc:2021/12/1906_04980_unsupervised_quest)
 
 2021-12-07 About
 
 [1911.02116] Unsupervised Cross-lingual Representation Learning at Scale
 
 Tags:
 
 Arxiv Doc
 Cross-lingual NLP
 Multilingual embeddings
 NLP@Facebook
 
 Data: [CC-100: Monolingual Datasets from Web Crawl Data](doc:2021/07/cc_100_monolingual_datasets_fr)
 
 2021-07-29 About
 
 [2004.04906] Dense Passage Retrieval for Open-Domain Question Answering
 
 Tags:
 
 Arxiv Doc
 Dense Passage Retrieval
 EMNLP 2020
 NLP@Facebook
 Open Domain Question Answering
 Two-Tower neural network
 
 Uses two BERT models to encode text: one for encoding queries and one for encoding documents. The two models are trained simultaneously in a two-tower configuration to maximize the dot product for passages likely to answer the question [Github](https://github.com/facebookresearch/DPR)
 
 2021-06-03 About
 
 [2104.14690] Entailment as Few-Shot Learner
 
 Tags:
 
 Arxiv Doc
 Data Augmentation
 Entailment
 Few-shot learning
 NLP@Facebook
 
 > a new approach, named as EFL, that can turn small LMs into better few-shot learners. The key idea of this approach is to reformulate potential NLP task into an entailment one, and then fine-tune the model with as little as 8 examples > > For instance, we can reformulate a sentiment classification task as a textual entailment one with an input sentence S1 as xin = [CLS]S1[SEP]S2[EOS]; where S2 = This indicates positive user sentiment, and let the language modelMto determine the if input sentence S1 entails the label description S2
 
 2021-05-03 About
 
 [1901.04085] Passage Re-ranking with BERT
 
 Tags:
 
 Arxiv Doc
 BERT
 Learning to rank
 NLP@Facebook
 Ranking (information retrieval)
 
 a simple re-implementation of BERT for query-based passage re-ranking ["Slides of our WSDM 2021 tutorial "Pretrained Transformers for Text Ranking: BERT and Beyond"](doc:2021/03/rodrigo_nogueira_sur_twitter_)
 
 2021-03-26 About
 
 [2010.02194] Self-training Improves Pre-training for Natural Language Understanding
 
 Tags:
 
 Arxiv Doc
 Knowledge distillation
 NLP: pretraining
 NLP@Facebook
 Self-training
 
 2021-03-12 About
 
 Hugging Face sur Twitter : "Transformers release of the Retrieval-Augmented Generation model in collaboration with @facebookai!"
 
 Tags:
 
 huggingface / transformers
 NLP@Facebook
 Not Encoding Factual Knowledge in Language Model
 RAG (Retrieval-Augmented Generation)
 Retrieval augmented LM
 Tweet
 
 > the **RAG model is trained end-to-end for retrieval-in-the-loop generation**, a new paradigm that allows a model to go find useful information in a text corpus when generating. **No need to try to encode all of that knowledge in a trillion parameters any more ;)**
 
 2021-02-23 About
 
 [2010.00904] Autoregressive Entity Retrieval
 
 Tags:
 
 Arxiv Doc
 Entity linking
 Gautier Izacard
 NLP@Facebook
 
 One sentence sumary: > We address entity retrieval by generating their unique name identifiers, left to right, in an autoregressive fashion, and conditioned on the context showing SOTA results in more than 20 datasets with a tiny fraction of the memory of recent systems. > a transformer-based architecture, pre-trained with a language modeling objective (i.e., we use BART weights from Lewis et al. (2019)) and finetuned to generate entity names. - [tweet](https://twitter.com/nicola_decao/status/1349354669643100161) - <https://openreview.net/forum?id=5k8F6UU39V>
 
 2021-01-14 About
 
 [2012.04584] Distilling Knowledge from Reader to Retriever for Question Answering
 
 Tags:
 
 Arxiv Doc
 Gautier Izacard
 Knowledge-augmented Language Models
 Knowledge distillation
 Neural Search
 NLP@ENS
 NLP@Facebook
 Open Domain Question Answering
 Question Answering
 Retriever-Reader
 
 > a method to train an information retrieval module for downstream tasks, **without using pairs of queries and documents as annotations**. Uses two models (standard pipeline for open-domain QA): - the first one retrieves documents from a large source of knowledge (the retriever) - the second one processes the support documents to solve the task (the reader). > First the retriever selects support passages in a large knowledge source. Then these passages are processed by the reader, along with the question, to generate an answer Inspired by knowledge distillation: the reader model is the teacher and the retriever is the student. > More precisely, we use a sequence-to-sequence model as the reader, and use the attention activations over the input documents as synthetic labels to train the retriever. > (**train the retriever by learning to approximate the attention score of the reader**) Refers to: - [REALM: Retrieval-Augmented Language Model Pre-Training](doc:2020/12/2002_08909_realm_retrieval_a) - [Dehghani: Neural Ranking Models with Weak Supervision](doc:?uri=https%3A%2F%2Farxiv.org%2Fabs%2F1704.08803)
 
 2020-12-11 About
 
 Guillaume Lample sur Twitter : "Last year, we showed that you can outperform a 24-layer transformer in language modeling with just...
 
 Tags:
 
 Guillaume Lample
 Language Model
 Memory in deep learning
 NLP@Facebook
 Transformers
 Tweet
 
 [This](doc:2019/07/_1907_05242_large_memory_layer) was last year
 
 2020-10-10 About
 
 [2006.15020] Pre-training via Paraphrasing
 
 Tags:
 
 Arxiv Doc
 NLP: pretraining
 NLP@Facebook
 Sequence-to-sequence learning
 Zero-Shot Learning
 
 2020-06-30 About
 
 [1911.03814] Scalable Zero-shot Entity Linking with Dense Entity Retrieval
 
 Tags:
 
 Arxiv Doc
 BERT-based entity linking
 BLINK
 Entity Retrieval
 NLP@Facebook
 Retriever-Reader
 Zero-shot Entity Linking
 
 > a two stage approach, based on fine-tuned BERT architectures. In the first stage, we do retrieval in a dense space defined by a bi-encoder that independently embeds the mention context and the entity descriptions (Humeau et al., 2019; Gillick et al., 2019). Each retrieved candidate is then examined more carefully with a cross-encoder that concatenates the mention and entity text,
 
 2020-05-02 About
 
 [1911.00172] Generalization through Memorization: Nearest Neighbor Language Models
 
 Tags:
 
 Arxiv Doc
 Dan Jurafsky
 Generalization
 kNN-Transformers
 Knowledge-augmented Language Models
 NLP@Facebook
 NLP@Stanford
 
 extend LMs with nearest neighbor search in embedding space > kNN-LM, an approach that extends a pre-trained LM by linearly interpolating its next word distribution with a k-nearest neighbors (kNN) model > > This approach allows rare patterns to be memorized explicitly, rather than implicitly in model parameters > The kNN-LM involves augmenting such a pre-trained LM with a nearest neighbors retrieval mechanism, without any additional training (the representations learned by the LM remain unchanged). This can be done with a single forward pass over a text collection (potentially including the original LM training set), where the resulting context-target pairs are stored in a key-value datastore that is queried during inference
 
 2019-12-20 About
 
 [1912.01412] Deep Learning for Symbolic Mathematics
 
 Tags:
 
 Arxiv Doc
 Connectionist vs symbolic debate
 Deep Learning
 Facebook FAIR
 Guillaume Lample
 Mathématiques
 NLP@Facebook
 
 2019-12-09 About
 
 [1905.11852] EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction
 
 Tags:
 
 Arxiv Doc
 Explainable NLP
 Ludovic Denoyer
 NLP@Facebook
 
 > Providing explanations along with predictions is crucial in some text processing tasks. Therefore, we propose a new self-interpretable model that performs output prediction and simultaneously provides an explanation in terms of the presence of particular concepts in the input. To do so, our model's prediction relies solely on a low-dimensional binary representation of the input, where each feature denotes the presence or absence of concepts. Presented in these [slides](/doc/2019/12/unsupervised_learning_with_text)
 
 2019-12-05 About
 
 [1911.01464] Emerging Cross-lingual Structure in Pretrained Language Models
 
 Tags:
 
 Arxiv Doc
 Bertology
 Cross-lingual NLP
 NLP@Facebook
 Pre-Trained Language Models
 
 2019-11-06 About
 
 [1909.01066] Language Models as Knowledge Bases?
 
 Tags:
 
 Arxiv Doc
 Facebook FAIR
 Knowledge Graph + Deep Learning
 Language Model
 Language Models as Knowledge Bases
 NLP@Facebook
 
 an analysis of the relational knowledge present in pretrained language models shows an ability of these models to recall factual knowledge
 
 2019-09-05 About
 
 Product-Key Memory (PKM) Minimalist implementation of a Product-Key Memory layer
 
 Tags:
 
 Guillaume Lample
 NLP@Facebook
 
 Implementation for this [paper](/doc/2019/07/_1907_05242_large_memory_layer)
 
 2019-08-30 About
 
 [1907.05242] Large Memory Layers with Product Keys
 
 Tags:
 
 Arxiv Doc
 Guillaume Lample
 Ludovic Denoyer
 Memory in deep learning
 Memory networks
 NLP@Facebook
 Transformers
 
 > **a structured memory which can be easily integrated into a neural network.** The memory is very large by design and therefore significantly increases the capacity of the architecture, by up to a billion parameters with a negligible computational overhead. Its design and access pattern is based on **product keys**, which enable fast and exact nearest neighbor search. The ability to increase the number of parameters while keeping the same computational budget lets the overall system strike a better trade-off between prediction accuracy and computation efficiency both at training and test time. > a key-value memory layer that can increase model capacity for a negligible computational cost. A 12-layer transformer with a memory outperforms a 24-layer transformer, and is 2x faster! [Implementation](/doc/2019/08/product_key_memory_pkm_minima) TODO: compare with [[2007.00849] Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge](doc:2020/07/2007_00849_facts_as_experts_)
 
 2019-07-13 About
 
 Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification (2017)
 
 Tags:
 
 NLP: short texts
 NLP@Facebook
 NLP@Microsoft
 Text Classification
 
 2019-05-20 About
 
 LASER natural language processing toolkit - Facebook Code
 
 Tags:
 
 NLP@Facebook
 
 > We are open-sourcing a newly expanded and enhanced version of our natural language processing toolkit, LASER. It now performs zero-shot cross-lingual transfer with more than 90 languages, written in 28 different alphabets.
 
 2019-01-23 About
 
 Open-sourcing PyText for faster NLP development
 
 Tags:
 
 NLP@Facebook
 NLP tools
 
 2018-12-15 About
 
 Facebook Research at EMNLP – Facebook Research
 
 Tags:
 
 EMNLP 2018
 NLP@Facebook
 
 2018-11-01 About
 
 Teaching Machines to Understand Natural Language (2018)
 
 Tags:
 
 Antoine Bordes
 France is AI 2018
 Human-like AI
 NLP@Facebook
 NLU
 NN / Symbolic AI hybridation
 Slides
 
 mentions [Building machines that learn and think like people](/doc/?uri=https%3A%2F%2Farxiv.org%2Fabs%2F1604.00289)
 
 2018-10-26 About
 
 [1503.08895] End-To-End Memory Networks
 
 Tags:
 
 Arxiv Doc
 Attention mechanism
 France is AI 2018
 Memory networks
 NLP@Facebook
 
 Neural network with a recurrent attention model over a possibly large external memory. cité par [#A. Bordes](/tag/antoine_bordes) à [#ParisIsAI conf 2018](/tag/france_is_ai_2018.html)
 
 2018-10-23 About
 
 Unsupervised Machine Translation. G. Lample (slides)
 
 Tags:
 
 Guillaume Lample
 Machine translation
 NLP@Facebook
 Slides
 Unsupervised machine translation
 
 slides présentées au [Paris NLP meetup](/doc/?uri=https%3A%2F%2Fwww.meetup.com%2Ffr-FR%2FParis-NLP%2Fevents%2Fxzstdqyxmbjc%2F)
 
 2018-09-29 About
 
 Paris NLP Season 3 Meetup #1 | Meetup
 
 Tags:
 
 Guillaume Lample
 NLP@Facebook
 Paris NLP meetup
 Unsupervised machine translation
 
 2018-09-27 About
 
 [Learning Note] StarSpace For Multi-label Text Classification
 
 Tags:
 
 Multi-label Text classification
 NLP@Facebook
 StarSpace
 
 2018-09-11 About
 
 [1709.03856] StarSpace: Embed All The Things!
 
 Tags:
 
 Arxiv Doc
 NLP@Facebook
 StarSpace
 
 2018-05-13 About
 
 Under the hood: Multilingual embeddings | Engineering Blog | Facebook Code
 
 Tags:
 
 FastText
 Multilingual embeddings
 NLP@Facebook
 
 With this technique, embeddings for every language exist in the same vector space, and maintain the property that words with similar meanings (regardless of language) are close together in vector space > To train these multilingual word embeddings, we first trained separate embeddings for each language using fastText and a combination of data from Facebook and Wikipedia. We then used dictionaries to project each of these embedding spaces into a common space (English). The dictionaries are automatically induced from parallel data — meaning data sets that consist of a pair of sentences in two different languages that have the same meaning — which we use for training translation systems.
 
 2018-05-11 About
 
 Semantic hashing using tags and topic modeling (2013)
 
 Tags:
 
 NLP@Facebook
 Semantic Hashing
 Tagging
 Topic Modeling
 
 Semantic Hashing using Tags and Topic Modeling, to incorporate both the tag information and the similarity information from probabilistic topic modeling. [Comments about the paper](https://sutheeblog.wordpress.com/2016/10/28/paper-reading-semantic-hashing-using-tags-and-topic-modeling-sigir13/). [Code on Github](https://github.com/zhuoxiongzhao/code-for-SHTTM)
 
 2018-03-22 About
 
 [1603.01360] Neural Architectures for Named Entity Recognition
 
 Tags:
 
 Arxiv Doc
 Guillaume Lample
 Named Entity Recognition
 NLP@Facebook
 
 Neural architectures for NER that use no language-specific resources or features beyond a small amount of supervised training data and unlabeled corpora. > Our models rely on two sources of information about words: character-based word representations learned from the supervised corpus and unsupervised word representations learned from unannotated corpora
 
 2018-03-05 About
 
 [1712.09405] Advances in Pre-Training Distributed Word Representations
 
 Tags:
 
 Arxiv Doc
 FastText
 NLP@Facebook
 Tomas Mikolov
 Word2vec
 Word embeddings
 
 > we show how to train high-quality word vector representations by using a combination of known tricks that are however rarely used together. The main result of our work is the new set of publicly available pre-trained models that outperform the current state of the art by a large margin on a number of tasks
 
 2017-12-29 About
 
 facebookresearch/MUSE: A library for Multilingual Unsupervised or Supervised word Embeddings
 
 Tags:
 
 Cross-lingual NLP
 FastText
 Guillaume Lample
 Multilingual embeddings
 NLP@Facebook
 Word embeddings
 
 2017-12-22 About
 
 [1705.08039] Poincaré Embeddings for Learning Hierarchical Representations
 
 Tags:
 
 Arxiv Doc
 NLP@Facebook
 Poincaré Embeddings
 Thèse IRIT-Renault: biblio initiale
 
 > While complex symbolic datasets often exhibit a latent hierarchical structure, state-of-the-art methods typically learn embeddings in Euclidean vector spaces, which do not account for this property. For this purpose, we introduce a new approach for learning hierarchical representations of symbolic data by embedding them into hyperbolic space
 
 2017-12-16 About
 
 Embeddings methods for NLP (2014) (tutorial - Jason Weston - Facebook Research)
 
 Tags:
 
 Antoine Bordes
 Embeddings
 NLP@Facebook
 
 - Part 1: Unsupervised and Supervised Embeddings - Part 2: Embeddings for Multi-relational Data
 
 2017-11-12 About
 
 [1710.04087] Word Translation Without Parallel Data
 
 Tags:
 
 Arxiv Doc
 Guillaume Lample
 Ludovic Denoyer
 Machine translation
 NLP@Facebook
 Unsupervised machine translation
 Word embeddings
 
 > we can build a bilingual dictionary between two languages without using any parallel corpora, by aligning monolingual word embedding spaces in an unsupervised way
 
 2017-10-14 About
 
 [1607.01759] Bag of Tricks for Efficient Text Classification
 
 Tags:
 
 Arxiv Doc
 FastText
 NLP@Facebook
 Sentence Embeddings
 Text Classification
 Tomas Mikolov
 
 A simple and efficient baseline for text classification. **Our word features can be averaged** together to form good sentence representations. Our experiments show that fastText is often on par with deep learning classifiers in terms of accuracy, and many orders of magnitude faster for training and evaluation. We can train fastText on more than one billion words in less than ten minutes using a standard multicore~CPU, and classify half a million sentences among~312K classes in less than a minute.
 
 2017-09-10 About
 
 Introducing DeepText: Facebook's text understanding engine | Engineering Blog | Facebook Code
 
 Tags:
 
 NLP@Facebook
 
 2017-06-28 About
 
 StarSpace
 
 [1511.03643] Unifying distillation and privileged information
 
 Tags:
 
 AI@Facebook
 Arxiv Doc
 Knowledge distillation
 Machines teaching machines
 
 A framework to learn from multiple machines and data representations, unifying two techniques that enable machines to learn from other machines: [distillation](tag:knowledge_distillation) ([Hinton et al., 2015](doc:2020/04/1503_02531_distilling_the_kno)) and privileged information (Vapnik & Izmailov, 2015)
 
 2020-05-31 About
 
 [1912.08422] Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
 
 Tags:
 
 AI@Facebook
 Arxiv Doc
 Explainable AI
 KD-MKB related
 Knowledge distillation
 Recommender Systems
 
 distilling structured knowledge from a differentiable path-based recommendation model. > proposed framework can achieve state-of-the-art recommendation performance and meanwhile provide interpretable recommendation reasons
 
 2020-05-12 About
 
 [2003.08505] A Metric Learning Reality Check
 
 Tags:
 
 AI@Facebook
 Arxiv Doc
 Metric Learning
 ML: evaluation
 
 2020-05-10 About
 
 One-track minds: Using AI for music source separation
 
 Tags:
 
 AI@Facebook
 Music source separation
 
 2020-03-08 About
 
 Online speech recognition with wav2letter@anywhere
 
 Tags:
 
 AI@Facebook
 Speech-to-Text
 
 2020-02-12 About
 
 Improving long-form question answering by compressing search results
 
 Tags:
 
 AI@Facebook
 Facebook FAIR
 Knowledge Graphs and NLP
 Question Answering
 
 Facebook AI has developed a new method that improves the performance of long-form question answering models by compressing the text that’s used to train them, turning 300,000-word sections into 10,000-word linearized knowledge graphs
 
 2019-10-24 About
 - Cambridge Analytica
 - DeleteFB
 Cambridge Analytica
 Jedi Blue
 
 Facebook de nouveau accusé d’avoir laissé Netflix accéder aux messages privés de ses utilisateurs
 
 Tags:
 
 DeleteFB
 Facebook
 Netflix
 
 2024-04-03 About
 
 Les trahisons intimes des géants du numérique
 
 Tags:
 
 DeleteFB
 Online Security
 Privacy and internet
 
 2022-08-25 About
 
 fasterthanlime 🌌 sur Twitter : google has a secret deal with facebook called "Jedi Blue"
 
 Tags:
 
 DeleteFB
 Facebook
 Google
 Google + Advertising
 Jedi Blue
 Tweet
 
 > Ok so, I just read through all 173 pages of the unredacted Google antitrust filing and I have to say that either Google is screwed or society is screwed, we'll find out which.
 
 2021-10-25 About
 
 Cory Doctorow sur Twitter : "#Facebook is a rotten company, rotten from the top down, its founder, board and top execs are sociopaths..."
 
 Tags:
 
 Cory Doctorow
 DeleteFB
 Facebook
 Tweet
 
 2021-09-22 About
 
 Les enjeux de la publicité politique ciblée | CNRS Le journal
 
 Tags:
 
 Brésil
 DeleteFB
 Facebook
 Publicité politique
 Targeted ads
 
 Oana Goga, chercheuse au @LIGLab , a développé, avec son équipe, l'outil AdAnalyst, qui leur a permis d’analyser le ciblage des publicités politiques sur #Facebook > Nos mesures ont montré que les publicitaires peuvent sélectionner parmi plus de 250 000 attributs, dont beaucoup sont très spécifiques et parfois sensibles tels que « l’intérêt dans les mouvements anti-avortement » ou « la conscience du cancer ».
 
 2021-07-17 About
 
 Manipulations politiques en ligne : la lanceuse d’alerte Sophie Zhang dénonce les lacunes de Facebook
 
 Tags:
 
 DeleteFB
 Facebook
 Manipulations politiques
 Whistleblower
 
 2021-04-24 About
 
 Yrjänä Rankka @ghard@mastodon.social sur Twitter : "Facebook must be razed to the ground..."
 
 Tags:
 
 DeleteFB
 Tweet
 Yrjänä Rankka
 
 > Facebook must be razed to the ground leaving no stone on top of another. Spread salt on the ruins so nothing shall grow where it once was. Erase the very memory of it. Carthago delenda est
 
 2020-12-13 About
 
 Whistleblower Says Facebook Ignored Global Political Manipulation
 
 Tags:
 
 DeleteFB
 Facebook
 Manipulation
 Manipulations politiques
 Whistleblower
 
 2020-09-16 About
 
 Facebook apologizes to users, businesses for Apple’s monstrous efforts to protect its customers' privacy • The Register
 
 Tags:
 
 Apple
 DeleteFB
 Facebook
 Privacy and internet
 Targeted ads
 
 > Facebook has apologized to its users and advertisers for being forced to respect people’s privacy in an upcoming update to Apple’s mobile operating system – and promised it will do its best to invade their privacy on other platforms.
 
 2020-08-27 About
 
 Facebook paid Teen Vogue to run a fake article praising Facebook for "helping ensure the integrity of the 2020 election" / Boing Boing
 
 Tags:
 
 DeleteFB
 Election
 
 2020-01-09 About
 
 Defiant Mark Zuckerberg defends Facebook policy to allow false ads | Technology | The Guardian
 
 Tags:
 
 DeleteFB
 Facebook
 Targeted ads
 Zuckerberg
 
 2019-12-03 About
 - Facebook Graph Search
 
 Facebook Natural Language Engineering
 
 Tags:
 
 Facebook Graph Search
 NLP
 
 2013-05-07 About
 
 Why Facebook’s Graph Search Could Be Doomed | Mediashift | PBS
 
 Tags:
 
 Facebook Graph Search
 
 2013-05-06 About
 - Facebook Open Graph
 
 Open Graph Actions
 
 Tags:
 
 Facebook Open Graph
 
 Actions are the "verbs" or the things that people can do in your app.
 
 2014-10-29 About
 - NLP@Facebook
 
 Facebook de nouveau accusé d’avoir laissé Netflix accéder aux messages privés de ses utilisateurs
 
 Tags:
 
 DeleteFB
 Facebook
 Netflix
 
 2024-04-03 About
 
 fasterthanlime 🌌 sur Twitter : google has a secret deal with facebook called "Jedi Blue"
 
 Tags:
 
 DeleteFB
 Facebook
 Google
 Google + Advertising
 Jedi Blue
 Tweet
 
 > Ok so, I just read through all 173 pages of the unredacted Google antitrust filing and I have to say that either Google is screwed or society is screwed, we'll find out which.
 
 2021-10-25 About
 
 Cory Doctorow sur Twitter : "#Facebook is a rotten company, rotten from the top down, its founder, board and top execs are sociopaths..."
 
 Tags:
 
 Cory Doctorow
 DeleteFB
 Facebook
 Tweet
 
 2021-09-22 About
 
 Les enjeux de la publicité politique ciblée | CNRS Le journal
 
 Tags:
 
 Brésil
 DeleteFB
 Facebook
 Publicité politique
 Targeted ads
 
 Oana Goga, chercheuse au @LIGLab , a développé, avec son équipe, l'outil AdAnalyst, qui leur a permis d’analyser le ciblage des publicités politiques sur #Facebook > Nos mesures ont montré que les publicitaires peuvent sélectionner parmi plus de 250 000 attributs, dont beaucoup sont très spécifiques et parfois sensibles tels que « l’intérêt dans les mouvements anti-avortement » ou « la conscience du cancer ».
 
 2021-07-17 About
 
 Manipulations politiques en ligne : la lanceuse d’alerte Sophie Zhang dénonce les lacunes de Facebook
 
 Tags:
 
 DeleteFB
 Facebook
 Manipulations politiques
 Whistleblower
 
 2021-04-24 About
 
 Whistleblower Says Facebook Ignored Global Political Manipulation
 
 Tags:
 
 DeleteFB
 Facebook
 Manipulation
 Manipulations politiques
 Whistleblower
 
 2020-09-16 About
 
 Facebook apologizes to users, businesses for Apple’s monstrous efforts to protect its customers' privacy • The Register
 
 Tags:
 
 Apple
 DeleteFB
 Facebook
 Privacy and internet
 Targeted ads
 
 > Facebook has apologized to its users and advertisers for being forced to respect people’s privacy in an upcoming update to Apple’s mobile operating system – and promised it will do its best to invade their privacy on other platforms.
 
 2020-08-27 About
 
 Comment voir (et supprimer) les données envoyées à Facebook par des sites tiers
 
 Tags:
 
 Facebook
 
 2020-01-29 About
 
 Defiant Mark Zuckerberg defends Facebook policy to allow false ads | Technology | The Guardian
 
 Tags:
 
 DeleteFB
 Facebook
 Targeted ads
 Zuckerberg
 
 2019-12-03 About
 
 Getting my personal data out of Facebook | Ruben Verborgh
 
 Tags:
 
 Facebook
 Personal data
 Ruben Verborgh
 
 2019-05-20 About
 
 Tim Bouma sur Twitter : "I take the bus home. I stand behind two people. I notice the weird-looking shoes tied to their backpacks. After a few moments, I realize they are rock-climbers and those are grippy shoes..."
 
 Tags:
 
 Facebook
 
 2019-02-06 About
 
 Facebook Emails Show Its Real Mission: Making Money and Crushing Competition - The New York Times
 
 Tags:
 
 Facebook
 
 2018-12-08 About
 
 The "Yellow Jackets" Riots In France Are What Happens When Facebook Gets Involved With Local News
 
 Tags:
 
 Facebook
 Gilets jaunes
 
 2018-12-06 About
 
 How Facebook Failed To Build A Better Alexa (Or Siri)
 
 Tags:
 
 Facebook
 Voice AI
 
 2018-11-01 About
 
 Yes, You Should Delete Facebook
 
 Tags:
 
 Facebook
 
 2018-11-01 About
 
 Can Mark Zuckerberg Fix Facebook Before It Breaks Democracy? | The New Yorker
 
 Tags:
 
 Facebook
 Fix it
 New Yorker
 Zuckerberg
 
 2018-09-17 About
 
 Zuckerberg set up fraudulent scheme to 'weaponise' data, court case alleges | Technology | The Guardian
 
 Tags:
 
 Cambridge Analytica
 Facebook
 Zuckerberg
 
 2018-05-27 About
 
 L’anti-protection sociale de Facebook et l’avènement du « providentialisme de plateforme » – – S.I.Lex –
 
 Tags:
 
 China's Social Credit System
 Facebook
 
 > la protection sociale traditionnelle était le moyen qu’une société se donnait pour garantir les individus contre la réalisation de risques sociaux imprévisibles, là où le Social Credit System protège au contraire la société contre les « risques » liés à l’imprévisibilité des comportements humains, en cherchant à les standardiser au maximum et en prévenant les « déviances » par rapport à une norme sociale encodée algorithmiquement.
 
 2018-05-07 About
 
 The Best Alternative For Every Facebook Feature | WIRED
 
 Tags:
 
 Facebook
 
 2018-03-24 About
 
 How to manipulate Facebook and Twitter instead of letting them manipulate you - MIT Technology Review
 
 Tags:
 
 Facebook
 Twitter
 
 2018-03-21 About
 
 D’anciens cadres de Facebook expriment leur « culpabilité » d’avoir contribué à son succès
 
 Tags:
 
 Facebook
 
 2017-12-12 About
 
 facebookresearch/fairseq-py: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
 
 Tags:
 
 Facebook
 GitHub project
 Python
 Sequence-to-sequence learning
 
 2017-10-02 About
 
 Facebook is selling old wine (Internet.org) in a new bottle (Free Basics), users be aware - Times of India
 
 Tags:
 
 Facebook
 Inde
 Net Neutrality
 
 2016-01-03 About
 
 Facebook’s open-sourcing of AI hardware is the start of the deep-learning revolution | Ars Technica
 
 Tags:
 
 Deep Learning
 Facebook
 
 2015-12-22 About
 
 Death of Hyperlink: The Aftermath — Thoughts on Media — Medium
 
 Tags:
 
 Death of Hyperlink
 Facebook
 Iran
 
 2015-11-11 About
 
 Facebook Graph API Quickstart
 
 Tags:
 
 API
 Facebook
 Graph
 
 2014-07-26 About
 
 Why No One Trusts Facebook To Power The Future - ReadWrite
 
 Tags:
 
 Facebook
 Trust
 
 Facebook has a perception problem—consumers just don't trust it.
 
 2014-07-26 About
 
 Why No One Trusts Facebook To Power The Future – ReadWrite
 
 Tags:
 
 Facebook
 
 people need to know that Facebook is making things to improve the human experience, not just spending billions to make even more billions off our personal information
 
 2014-04-05 About
 
 Lockdown – Marco.org
 
 Tags:
 
 Facebook
 Google
 GooglePlus
 RSS
 
 Google Reader is just the latest casualty of the war that Facebook started, seemingly accidentally: the battle to own everything.
 
 2013-07-04 About
 
 Facebook to Partner With Acxiom, Epsilon to Match Store Purchases With User Profiles | Digital - Advertising Age
 
 Tags:
 
 Facebook
 Publicité Internet
 
 Facebook is testing out a new kind of ad targeting that will let brands market to users based on what they've bought in stores, according to execs briefed on their plans.
 
 2013-04-24 About
 
 Facebook Is Quietly Ramping Up A Product That 'Kills Us,' Says Yahoo Source - Business Insider
 
 Tags:
 
 Facebook
 Publicité Internet
 Yahoo!
 
 2012-11-22 About
 
 Tim Berners-Lee: demand your data from Google and Facebook | Technology | guardian.co.uk
 
 Tags:
 
 Facebook
 Personal data
 Tim Berners-Lee
 
 2012-04-18 About
 
 Re: See Other from Hugh Glaser
 
 Tags:
 
 Facebook
 httpRange-14
 Hugh Glaser
 
 2012-04-12 About
 
 Facebook - Like button
 
 Tags:
 
 Facebook
 
 2011-02-01 About
 
 Replace Facebook with FOAF + twitter + ? - bobdc.blog
 
 Tags:
 
 Bob DuCharme
 Facebook
 foaf
 Twitter
 
 2010-06-23 About
 
 dot.Maggie: The anti-Facebook
 
 Tags:
 
 Facebook
 
 2010-05-17 About
 
 Open Graph Protocol : Facebook se met au Web sémantique ? | Les petites cases
 
 Tags:
 
 Facebook
 Graph
 Les petites cases
 Semantic Web
 
 2010-05-14 About
 
 The Tetherless World Weblog » Putting open Facebook data into Linked Data Cloud
 
 Tags:
 
 Facebook
 Linked Data
 
 2010-04-28 About
 
 RDFa » Blog Archive » Facebook adopts RDFa
 
 Tags:
 
 Facebook
 RDFa
 
 2010-04-27 About
 
 Facebook's Play to Take Over the Entire Internet - Techtonic Shifts Blog - Newsweek.com
 
 Tags:
 
 Facebook
 
 2010-04-26 About
 
 Facebook | Find your path in the Labyrinth of Information!
 
 Tags:
 
 About Semanlink
 Dimitris
 Facebook
 
 Facebook group created by Dimitris
 
 2008-07-14 About
 
 Facebook buys start-up Parakey for undisclosed sum | Reuters
 
 Tags:
 
 Facebook
 
 2007-07-28 About
 
 Injecting Facebook Data into the Semantic Data Web
 
 Tags:
 
 Facebook
 Kingsley Idehen
 Linked Data
 
 2007-07-28 About
 
 Facebook | François-Paul Servant
 
 Tags:
 
 Facebook
 fps
 
 2007-07-06 About
 - Fediverse
 - Glue
 - GooglePlus
 - Innoraise
 - Musubi
 - RDF and social networks
 - Social bookmarking
 - blogmarks
 
 http://www.blogmarks.net/tag/rdf
 
 Tags:
 
 blogmarks
 RDF
 
 2005-04-26 About
 
 http://www.blogmarks.net
 
 Tags:
 
 blogmarks
 
 2005-04-09 About
 
 http://www.blogmarks.net
 
 Tags:
 
 blogmarks
 
 2005-04-08 About
 - del.icio.us
 delicious api
 
 del.icio.us/help/api
 
 Tags:
 
 del.icio.us
 delicious api
 
 2006-09-25 About
 
 delicious java API
 
 Tags:
 
 delicious api
 delicious java
 Javadoc
 
 2006-09-25 About
 
 delicious java
 
 delicious-jsp - Simon Brown
 
 Tags:
 
 delicious java
 
 2006-09-25 About
 
 SourceForge.net: del.icio.us Java API
 
 Tags:
 
 delicious java
 SourceForge
 
 2006-09-25 About
 
 delicious java API
 
 Tags:
 
 delicious api
 delicious java
 Javadoc
 
 2006-09-25 About
 
 3 Ways to Host Your Own Delicious Alternative - ReadWriteCloud
 
 Tags:
 
 del.icio.us
 
 2010-12-21 About
 
 How to Semantically Analyze Web Pages With Delicious
 
 Tags:
 
 del.icio.us
 
 2010-12-21 About
 
 The Tetherless World Weblog » I will pay delicious $100 for hierarchical tagging
 
 Tags:
 
 del.icio.us
 Hierarchical tags
 Semanlink related
 Tagging
 
 2009-06-22 About
 
 tagliatelle delicious RDFizer
 
 Tags:
 
 Danny Ayers
 del.icio.us
 Semanlink related
 Tag ontology
 Talis platform
 
 Takes all your bookmarks from del.icio.us, converts to RDF (using Tag Ontology), pushes into a Talis Platform store
 
 2009-04-11 About
 
 del.icio.us/help/api
 
 Tags:
 
 del.icio.us
 delicious api
 
 2006-09-25 About
 
 Joshua Schachter, del.icio.us: Things to look out for when building a large application.
 
 Tags:
 
 del.icio.us
 
 2006-06-25 About
 
 SourceForge.net: del.icio.us Java API
 
 Tags:
 
 del.icio.us
 Java dev
 
 delicious-java is a Java API for interacting with the del.icio.us social bookmarks service. BSD license
 
 2006-05-13 About
 
 del.icio.us: 150+ hacks categorized
 
 Tags:
 
 del.icio.us
 
 2006-05-13 About
 
 Quick Online Tips » Absolutely Del.icio.us - Complete Tools Collection
 
 Tags:
 
 del.icio.us
 
 2006-05-13 About
 
 Joho the Blog: IBM shows del.icio.us for the enterprise, and more
 
 Tags:
 
 del.icio.us
 IBM
 Social software
 
 2005-11-10 About
 
 del.icio.us/doc/api
 
 Tags:
 
 del.icio.us
 
 2005-10-13 About
 
 del.icio.us direc.tor: Delivering A High-Performance AJAX Web Service Broker :: Johnvey
 
 Tags:
 
 Ajax
 del.icio.us
 
 2005-10-05 About
 
 HubLog: Graph del.icio.us related tags
 
 Tags:
 
 del.icio.us
 TouchGraph
 
 2005-09-25 About
 
 Quick Online Tips: Absolutely Del.icio.us - Complete Tool Collection
 
 Tags:
 
 del.icio.us
 
 2005-05-23 About
 
 My delicious : http://del.icio.us/gambina
 
 Tags:
 
 del.icio.us
 
 2005-04-28 About
 
 http://www.hippasus.com/resources/mapdelicious/
 
 Tags:
 
 del.icio.us
 Dev
 
 2005-04-22 About
 
 http://del.icio.us
 
 Tags:
 
 Bookmarks
 del.icio.us
 
 2005-04-05 About
 - gnizr
 
 gnizr - Google Code
 
 Tags:
 
 gnizr
 
 gnizr™ (gə-nīzər) is an open source application for social bookmarking and web mashup. It is easy to use gnizr to create a personalized del.icio.us-like portal for a group of friends and colleagues to store, classify, and share information, and mash-it-up with information about location.
 
 2007-11-20 About
 - spurl
 
 http://www.spurl.net
 
 Tags:
 
 spurl
 
 2005-04-28 About
 
 http://www.spurl.net/discover/user/fps/
 
 Tags:
 
 fps
 spurl
 
 2005-04-28 About
 
 http://www.spurl.net
 
 Tags:
 
 spurl
 
 2005-04-27 About
 - Social Networks are bad
 - DeleteFB
 - Wiki
 - Private wiki
 
 Hack Your Life With A Private Wiki Notebook Getting Things Done And Other Systems - WebSeitz/wiki
 
 Tags:
 
 Danny Ayers
 Private wiki
 
 2015-03-15 About
 - Semantic Wiki
 - SW Wiki
 - Wikipedia
 Afripedia
 
 Afripedia : un partenariat avec l'Agence universitaire de la francophonie et l'Institut français pour développer Wikipédia en Afrique | Wikimédia France
 
 Tags:
 
 Afripedia
 
 2012-11-19 About
 
 Histropedia
 
 Histropedia: “The power of data visualisation combined with free knowledge” – Wikimedia Blog
 
 Tags:
 
 Histropedia
 
 2017-11-01 About
 
 Histropedia - The Timeline of Everything
 
 Tags:
 
 Histropedia
 
 > Transforming Wikipedia and Wikidata into the world's first timeline of everything
 
 2017-11-01 About
 
 Wikidata
 Wikification
 BLINK
 Wikipedia2Vec
 
 [1909.01259] Neural Attentive Bag-of-Entities Model for Text Classification
 
 Tags:
 
 Arxiv Doc
 Entities
 Entity salience
 Good
 Ikuya Yamada
 Text Classification
 Transformers
 Wikipedia2Vec
 
 A model that performs **text classification using entities in a knowledge base**. > Entities provide unambiguous and relevant semantic signals that are beneficial for capturing semantics in texts. We combine **simple high-recall entity detection based on a dictionary** (word->list of entities), to detect entities in a document, with a novel neural **attention mechanism that enables the model to focus on a small number of unambiguous and relevant entities**. 2 steps: 1. Entity detection 2. Classification using the detected entities (+text) as inputs Regarding entity linking, a local model which uses cosine similarity between the embedding of the target entity and the word-based representation of the document to capture the relevance of an entity given a document. Embeddings from the KB: computed using [#Wikipedia2Vec](tag:wikipedia2vec) (similar words and entities close to one another in a unified vector space) Model using attention, with 2 features : - cosine similarity between the embedding of the entity and the word based representation of the document - the probability that the entity name refers to the entity in KB. Somewhat [related](doc:2020/01/investigating_entity_knowledge_) ### Conclusion: >a neural network model that performs text classification using entities in Wikipedia. We combined simple dictionary-based entity detection with a neural attention mechanism to enable the model to focus on a small number of unambiguous and relevant entities in a document.
 
 2020-09-02 About
 
 [1812.06280] Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia
 
 Tags:
 
 Arxiv Doc
 Ikuya Yamada
 Wikipedia2Vec
 
 2020-09-02 About
 
 [1601.01343] Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
 
 Tags:
 
 Arxiv Doc
 Entity linking
 Ikuya Yamada
 Named Entity Recognition
 Thèse IRIT-Renault: biblio initiale
 Wikipedia2Vec
 Word + Entity embeddings
 
 > An embedding method specifically **designed for NED** that jointly **maps words and entities into the same continuous vector space**. > We extend the skip-gram model by using two models. The KB graph model learns the relatedness of entities using the link structure of the KB, whereas the anchor context model aims to align vectors such that similar words and entities occur close to one another in the vector space by leveraging KB anchors and their context words Technique later used in [Wikipedia2Vec](doc:?uri=https%3A%2F%2Fwikipedia2vec.github.io%2Fwikipedia2vec%2F), by the same team. [Neural Attentive Bag-of-Entities Model for Text Classification](doc:2020/09/1909_01259_neural_attentive_b) uses Wikipedia2Vec model.
 
 2019-01-27 About
 
 Wikipedia2Vec
 
 Tags:
 
 Wikipedia2Vec
 Word + Entity embeddings
 
 [GitHub](https://github.com/wikipedia2vec/wikipedia2vec) [Paper](doc:2020/09/1812_06280_wikipedia2vec_an_)
 
 2018-12-23 About
 
 Wikipedia page to concept
 Wiktionnaire
 
 Projet:Requêter le Wiktionnaire — Wiktionnaire
 
 Tags:
 
 SPARQL
 Wiktionnaire
 
 - <https://www.dictionnairedesfrancophones.org/sparql> - [AFU](https://fr.wiktionary.org/wiki/assistance_au_freinage_d’urgence)
 
 2021-04-12 About
 
 Nils Reimers sur X : "Embeddings can store only 1 aspect/topic per embedding well."
 
 Tags:
 
 Nils Reimers
 RAG: chunking
 Text Embeddings
 Tips
 Wikipedia
 
 > On Wikipedia, one paragraph typically focuses on one topic. So this gives you a good chunking for Wikipeda
 
 2024-03-13 About
 
 The Embedding Archives: Millions of Wikipedia Article Embeddings in Many Languages
 
 Tags:
 
 Cohere.ai
 Embeddings
 Wikipedia
 
 2023-04-21 About
 
 facebookresearch/DrQA: Reading Wikipedia to Answer Open-Domain Questions
 
 Tags:
 
 ACL 2017
 Discussed with NS
 GitHub project
 NLP@Facebook
 Open Domain Question Answering
 Wikipedia
 
 > approach combines a search component based on bigram hashing and TF-IDF matching with a multi-layer recurrent neural network model trained to detect answers in Wikipedia paragraphs
 
 2021-12-08 About
 
 Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine
 
 Tags:
 
 Semantic Search
 Sentence-BERT
 Similarity queries / Vector search
 Weaviate
 Wikipedia
 
 2021-12-05 About
 
 TAGME: on-the-fly annotation of short text fragments!
 
 Tags:
 
 Entity Retrieval
 NLP tools
 Wikipedia
 
 > TAGME is a powerful tool that is able to identify on-the-fly meaningful short-phrases (called "spots") in an unstructured text and link them to a pertinent Wikipedia page in a fast and effective way.
 
 2020-10-11 About
 
 Abstract Wikipedia/July 2020 announcement
 
 Tags:
 
 Denny Vrandečić
 Wikipedia
 
 2020-07-03 About
 
 [2002.11402] Detecting Potential Topics In News Using BERT, CRF and Wikipedia
 
 Tags:
 
 Arxiv Doc
 BERT
 Conditional random fields
 Named Entity Recognition
 Wikipedia
 
 2020-02-27 About
 
 Wikify!: linking documents to encyclopedic knowledge (2007)
 
 Tags:
 
 Frequently cited paper
 Keyword/keyphrase extraction
 Lesk algorithm
 Rada Mihalcea
 Wikipedia
 Word-sense disambiguation
 
 use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation
 
 2019-04-16 About
 
 BPEmb: Subword Embeddings
 
 Tags:
 
 Embeddings
 Encoding
 Subword embeddings
 Wikipedia
 
 a collection of pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) and trained on Wikipedia
 
 2019-01-31 About
 
 Capturing meaning: Toward an abstract Wikipedia (ISWC 2018)
 
 Tags:
 
 Denny Vrandečić
 ISWC
 Wikipedia
 
 2018-10-16 About
 
 The Wikipedia Competitor That's Harnessing Blockchain For Epistemological Supremacy | WIRED
 
 Tags:
 
 Blockchain
 Everipedia
 Wikipedia
 
 2017-12-17 About
 
 Burger King’s new ad forces Google Home to advertise the Whopper - The Verge
 
 Tags:
 
 Malbouffe
 Publicité
 Speech-to-Text
 Wikipedia
 
 2017-04-13 About
 
 Navigate All the Knowledge with Spring + Neo4j
 
 Tags:
 
 Neo4j
 Wikipedia
 
 2017-02-04 About
 
 Histography - Timeline of History
 
 Tags:
 
 Histoire
 Timeline
 Wikipedia
 
 2015-10-10 About
 
 The Decline of Wikipedia: Even As More People Than Ever Rely on It, Fewer People Create It | MIT Technology Review
 
 Tags:
 
 Wikipedia
 
 2013-12-03 About
 
 Liste des monuments historiques de l'Orne - Wikipédia
 
 Tags:
 
 Monuments historiques
 Orne
 Wikipedia
 
 2011-09-26 About
 
 Faceted Wikipedia Search
 
 Tags:
 
 dbpedia
 Faceted Search
 SW demo
 Wikipedia
 
 2010-06-22 About
 
 Faviki
 
 Tags:
 
 dbpedia
 Keep new
 Semanlink related
 Social bookmarking
 Wikipedia
 
 Faviki - Social bookmarking tool using smart semantic Wikipedia (DBpedia) tags
 
 2010-01-20 About
 
 Case Study: Semantic Tags
 
 Tags:
 
 Semanlink related
 Semantic tagging
 Social bookmarking
 Wikipedia
 
 Faviki is a social bookmarking tool that allows users to annotate the contents of web pages by Wikipedia concepts.
 
 2008-12-10 About
 
 Data Scraping Wikipedia with Google Spreadsheets « OUseful.Info, the blog…
 
 Tags:
 
 Google Spreadsheets
 Mashups
 Wikipedia
 
 2008-10-18 About
 
 Faviki - Social bookmarking tool using smart semantic Wikipedia (DBpedia) tags
 
 Tags:
 
 dbpedia
 Semantic tagging
 Semantic Web
 Social bookmarking
 Wikipedia
 
 Faviki is a tool that brings together social bookmarking and Wikipedia. It lets you bookmark web pages using Wikipedia's terms. In Faviki, everybody uses the same names for tags from the world's largest collection of knowledge!
 
 2008-09-29 About
 
 Faviki uses Wikipedia and DBpedia for semantic tagging
 
 Tags:
 
 dbpedia
 Semantic tagging
 Wikipedia
 
 2008-06-25 About
 
 99 Wikipedia Sources Aiding the Semantic Web » AI3:::Adaptive Information
 
 Tags:
 
 Linked Data
 Wikipedia
 
 2008-03-04 About
 
 Pathway
 
 Tags:
 
 OS X app
 Wikipedia
 
 Pathway's aim is to help you discover Wikipedia without having to worry whether you'll have enough time to read everything you want, or if you'll get lost. It accomplishes this by presenting you with a graphical "network" representation of your visited article pages. A node represents an article, a connection between two nodes means, of course, that you've gone from the first article to the second one. You can save the network you've created to disk and recover it.
 
 2006-10-06 About
 
 System One - Wikipedia3
 
 Tags:
 
 Huge RDF data source
 RDF
 Wikipedia
 
 Wikipedia³ is a conversion of the English Wikipedia into RDF. It's a monthly updated dataset containing around 47 million triples.
 
 2006-04-24 About
 
 hackdiary: Using Wikipedia and the Yahoo API to give structure to flat lists
 
 Tags:
 
 Dev
 Semanlink related
 Wikipedia
 Yahoo!
 
 2005-09-05 About
 - Wiki service
 
 Foopad :: The Very Simple Wiki
 
 Tags:
 
 Wiki service
 
 2005-11-06 About
 - Wiki Software
 
 Putting MediaWiki to use in an organization
 
 Tags:
 
 Howto
 Wiki Software
 
 2006-05-23 About
 
 SnipSnap
 
 Tags:
 
 Blogging platform
 Java
 Wiki Software
 
 2006-02-06 About
 
 CourseForum Technologies Home
 
 Tags:
 
 Wiki Software
 
 2005-10-11 About
 
 SourceForge.net: Project Info - MediaWiki
 
 Tags:
 
 SourceForge
 Wiki Software
 
 2005-10-11 About
 
 Help:Running MediaWiki on Mac OS X - Meta
 
 Tags:
 
 Mac OS X
 Wiki Software
 
 2005-10-11 About
 
 SnipSnap
 
 Tags:
 
 Wiki Software
 
 2005-10-11 About
 - Yahoo - My Web 2.0
 Crossing Divides: How a social network could save democracy from deadlock - BBC News
 
 Tags:
 
 Consensus
 Démocratie
 Social Networks
 Taiwan
 
 In Taiwan, a social media platform to reach political consensus on tough questions
 
 2020-01-24 About
 Revealed: how US billionaire helped to back Brexit | Politics | The Guardian
 
 Tags:
 
 Brexit
 Social manipulation
 Social Networks
 Trump
 
 2017-02-26 About
 La propagande des algorithmes ? Vraiment ? | InternetActu
 
 Tags:
 
 "Post-Vérité"
 Algorithmes
 Big Data
 Brexit
 Fact-checking
 Social Networks
 Vérité
 
 2016-09-18 About
 Tenth Grade Tech Trends
 
 Tags:
 
 Social Networks
 
 2013-03-12 About
 The Social Graph is Neither (Pinboard Blog)
 
 Tags:
 
 Rigolo
 Social Graph
 Social Networks
 
 2012-05-10 About
 Derrière la vidéo "Kony 2012", le marketing de l'émotion
 
 Tags:
 
 Lord's Resistance Army
 Marketing
 Social Networks
 
 2012-03-20 About
 Huoua Uses Semantic Search to ‘Spark’ Instant Circles - semanticweb.com
 
 Tags:
 
 Semantic Search
 SemWeb China
 Social Networks
 
 2011-11-13 About
 Diigo - Web Highlighter and Sticky Notes, Online Bookmarking and Annotation, Personal Learning Network.
 
 Tags:
 
 Social Networks
 Tagging
 
 "knowledge sharing community"
 
 2010-05-10 About
 Report from W3C Workshop on the Future of Social Networking
 
 Tags:
 
 Social Networks
 W3C
 Workshop
 
 2009-02-07 About
 Papers submitted to W3C Workshop on the Future of Social Networking
 
 Tags:
 
 Social Networks
 W3C
 Workshop
 
 2009-02-07 About
 The W3C Workshop on the Future of Social Networking Position Papers
 
 Tags:
 
 Henry Story
 Social Networks
 
 2009-01-18 About
 SCOT:Let’s Share Tags! » About SCOT
 
 Tags:
 
 SKOS
 Social Networks
 Tagging
 
 The SCOT(Social Semantic Cloud Of Tags) ontology is to semantically represent the structure and semantics of a collection of tags and to represent social networks among users based on the tags.
 
 2007-08-24 About
- Spam
- URI
 - Diacritics in URI
 - httpRange-14
 - Identity Crisis in Linked Data
 - Information resources
 - Minting URIs
 - Good Practice When Generating URIs
 
 How to Compare Uniform Resource Identifiers
 
 Tags:
 
 Good Practice When Generating URIs
 Tim Bray
 
 include "Good Practice When Generating URIs"
 
 2007-11-17 About
 - SW: coreferences
 - Synonym URIs
 - URI dereferencing
 - Dereferencing HTTP URIs
 httpRange-14
 
 Dereferencing HTTP URIs
 
 Tags:
 
 Dereferencing HTTP URIs
 W3C TAG
 
 (W3C) Draft Tag Finding 04 October 2007
 
 2007-10-13 About
 - URI encoding
 - Diacritics in URI
 
 Url encode decode online tool - InfoHeap
 
 Tags:
 
 Tools
 URI encoding
 
 2017-09-07 About
 
 i18n/l10n: URL
 
 Tags:
 
 URI encoding
 
 2008-10-13 About
 
 FAQ/CharacterEncoding - Tomcat Wiki
 
 Tags:
 
 FAQ
 Servlet
 SPARQL
 Tomcat
 URI encoding
 
 The fact is: there is no char encoding in a GET request. So an unmodified installation of Tomcat will parse the URI in a GET as ISO-8859-1 ("the Servlet spec requires it"). But a SPARQL request, for instance, requires it to be UTF-8 encoded. So it can't work!!! Tomcat people insist that their behavior is a feature. Maybe it's not a bug, but I doubt it is a feature. To get tomcat working otherwise, you have to set a parameter in the server.xml (connector, URIEncoding) What if you don't control the tomcat install? Maybe the best thing to do is to parse the parameters from request.getQueryString(). In my web apps until now, I double UTF-8 encode the params in a GET (for instance, the semanlink bookmarklet)
 
 2008-10-12 About
 
 'Re: request parameters mishandle utf-8 encoding' - MARC
 
 Tags:
 
 URI encoding
 
 2008-10-12 About
 
 Tomcat - Bug 23929 – request.setCharacterEncoding(String) doesn't work
 
 Tags:
 
 bug
 Tomcat
 URI encoding
 
 2008-10-11 About
 
 Configuring Tomcat's URI encoding
 
 Tags:
 
 Developer documentation
 Tomcat
 URI encoding
 
 By default, Tomcat uses ISO-8859-1 character encoding when decoding URLs received from a browser.
 
 2006-09-12 About
 - URI Identity
 - URI opacity
 - URI Reference
 - URIs within URIs
 - URI Synonymity
 - URI Template
 - URL
- VoIP
- W3C
 - Automotive AND W3C
 - Automotive Ontology Community Group
 
 Toyota Motor Europe use of schema.org and auto.schema.org vocabularies | Automotive Ontology Community Group
 
 Tags:
 
 Automotive Ontology Community Group
 Mirek Sopek
 schema.org
 Toyota
 
 2017-09-25 About
 - Common Web Language
 - Ivan Herman
 - LDP @ W3C
 - RDF Working Group
 - SKOS W3C document
 - SWEO Interest Group
 - W3C Community Group
 - W3C Data Activity
 - W3C Incubator Group Report
 - W3C Note
 - W3C Recommendation
 - SHACL
 
 JSON-LD 1.0
 
 Tags:
 
 JSON-LD
 Manu Sporny
 Markus Lanthaler
 W3C Recommendation
 
 2014-11-15 About
 
 JSON-LD 1.0 Processing Algorithms and API
 
 Tags:
 
 JSON-LD
 W3C Recommendation
 
 2014-10-29 About
 
 RDFa Lite 1.1
 
 Tags:
 
 RDFa 1.1 Lite
 W3C Recommendation
 
 2013-06-14 About
 
 RDFa in XHTML: Syntax and Processing
 
 Tags:
 
 RDFa
 W3C Recommendation
 
 2010-12-28 About
 
 SPARQL Protocol for RDF
 
 Tags:
 
 SPARQL
 W3C Recommendation
 
 W3C Candidate Recommendation 6 April 2006
 
 2007-10-13 About
 
 OWL Web Ontology Language Guide
 
 Tags:
 
 OWL
 W3C Recommendation
 
 2007-09-19 About
 
 SPARQL Query Language for RDF
 
 Tags:
 
 Andy Seaborne
 W3C Recommendation
 
 2007-07-07 About
 
 Architecture of the World Wide Web, Volume One
 
 Tags:
 
 Norman Walsh
 URI dereferencing
 W3C Recommendation
 Web architecture
 
 This architecture document discusses the core design components of the Web. They are identification of resources, representation of resource state, and the protocols that support the interaction between agents and resources in the space. We relate core design components, constraints, and good practices to the principles and properties they support.
 
 2006-12-31 About
 - W3C Submission
 - W3C TAG
 - W3C Working Draft
 - POWDER
 
 Repurposing the Hash Sign for the New Web
 
 Tags:
 
 Hash URIs
 W3C Working Draft
 
 2011-08-11 About
 
 RDF Interfaces 1.0
 
 Tags:
 
 Ivan Herman
 W3C Working Draft
 
 The RDF Interfaces Specification defines a set of standardized interfaces for working with RDF data in a programming environment.
 
 2011-05-12 About
 
 Protocol for Web Description Resources (POWDER): Description Resources
 
 Tags:
 
 POWDER
 W3C Working Draft
 
 2008-05-14 About
 
 SKOS Use Cases and Requirements
 
 Tags:
 
 SKOS W3C document
 W3C Working Draft
 
 2008-05-12 About
 
 SKOS Reference
 
 Tags:
 
 SKOS W3C document
 W3C Working Draft
 
 2008-05-08 About
 
 RDF Primer — Turtle version
 
 Tags:
 
 RDF
 Turtle
 W3C Working Draft
 
 2008-03-18 About
 
 SKOS Simple Knowledge Organization System Primer
 
 Tags:
 
 SKOS W3C document
 W3C Working Draft
 
 2008-03-01 About
 
 RIF RDF and OWL Compatibility
 
 Tags:
 
 RIF
 W3C Working Draft
 
 W3C Working Draft 30 October 2007
 
 2007-11-07 About
 
 RIF Basic Logic Dialect
 
 Tags:
 
 RIF
 W3C Working Draft
 
 basic format that allows logic rules to be exchanged between rule-based systems. W3C Working Draft 30 October 2007
 
 2007-11-07 About
 
 Best Practice Recipes for Publishing RDF Vocabularies
 
 Tags:
 
 Howto
 httpRange-14 (solution)
 Linked Data
 Publishing RDF Vocabularies
 W3C Working Draft
 
 This document describes best practice recipes for publishing an RDFS or OWL vocabulary or ontology on the Web. The features of each recipe are clearly described, so that vocabulary or ontology creators may choose the recipe best suited to the needs of their particular situations. Each recipe contains an example configuration for use with an Apache HTTP server, although the principles involved may be adapted to other environments. The recipes are all designed to be consistent with the architecture of the Web as currently specified.
 
 2006-03-14 About
 
 SKOS Core Guide
 
 Tags:
 
 Deprecated
 SKOS W3C document
 W3C Working Draft
 
 2005-11-04 About
 - W3C Working group
 - Linked Data Platform
 
 Activity Streams - W3C Wiki
 
 Tags:
 
 Activity Streams
 W3C Working group
 
 Little "a" activity streams : are a UI paradigm for displaying recent activity within a context. Activities are typically displayed in reverse chronological order and consist of relatively simple statements such as "John uploaded a new photo" or "12 people liked Sally's post". Big "A" Activity Streams : is a data format for encoding and transferring activity/event metadata. The first version of the specification was published in 2011 by the independent Activity Streams Working Group and is based on extending Atom. The current (2.0+) version of the spec is JSON-based.
 
 2014-10-23 About
 
 Html-data-tf - W3C Wiki
 
 Tags:
 
 HTML Data
 W3C Working group
 
 2013-07-06 About
- Web
 - Brouteur
 - Bookmarks
 
 A.J. sur Twitter : "20 websites that feel illegal to know about:" / Twitter
 
 Tags:
 
 Bookmarks
 Tweet
 
 2022-10-08 About
 
 Internet Archive: Wayback Machine
 
 Tags:
 
 Archive
 Bookmarks
 Semanlink related
 
 2017-01-25 About
 
 Ben Alman » jQuery hashchange event
 
 Tags:
 
 Ajax
 Bookmarks
 jQuery
 
 2012-06-21 About
 
 3spots: 30 Social Bookmarks 'Add to' footer links for blogs
 
 Tags:
 
 Bookmarks
 
 2006-05-28 About
 
 http://del.icio.us
 
 Tags:
 
 Bookmarks
 del.icio.us
 
 2005-04-05 About
 
 http://del.icio.us
 
 Tags:
 
 Bookmarks
 del icio
 semantic web sites
 
 2005-04-04 About
 
 Partager nos signets
 
 Tags:
 
 Blogs Le Monde
 Bookmarks
 
 2005-04-04 About
 - Browser : back button
 
 ajax - Content negotiation ignored when using browser Back button - Stack Overflow
 
 Tags:
 
 Browser : back button
 Content negotiation
 HTTP Cache
 Stack Overflow
 Vary Header
 
 2015-05-14 About
 
 jQuery BBQ: Back Button & Query Library
 
 Tags:
 
 Browser : back button
 jQuery
 
 2012-09-18 About
 
 Developing Ajax Applications That Preserve Standard Browser Functionality
 
 Tags:
 
 Ajax
 Browser : back button
 
 2006-06-20 About
 
 ONJava.com: AJAX: How to Handle Bookmarks and Back Buttons
 
 Tags:
 
 Ajax
 Browser : back button
 
 2005-10-28 About
 - Chrome
 - Cliqz
 - Firefox
 Firefox extension
 Glue
 
 Open in Browser Extension
 
 Tags:
 
 Firefox extension
 
 2012-07-02 About
 
 Html Validator :: Modules pour Firefox
 
 Tags:
 
 Ajax
 Firefox extension
 HTML Dev
 Validator
 
 HTML Validator is a Mozilla extension that adds HTML validation inside Firefox and Mozilla. The number of errors of a HTML page is seen on the form of an icon in the status bar when browsing. The extension can validate the HTML sent by the server or the HTML in the memory (after Ajax execution) ...
 
 2009-04-28 About
 
 Zotero - The Next-Generation Research Tool
 
 Tags:
 
 Firefox extension
 Frederick Giasson
 Zotero
 
 Zotero [zoh-TAIR-oh] is a free, easy-to-use Firefox extension to help you collect, manage, and cite your research sources. It lives right where you do your work — in the web browser itself.
 
 2007-06-09 About
 
 Web Developer Extension
 
 Tags:
 
 Firefox extension
 Web dev
 Web tools
 
 The Web Developer extension adds a menu and a toolbar to the browser with various web developer tools. It is designed for Firefox, Flock, Mozilla and Seamonkey.
 
 2006-07-21 About
 
 Greasemonkey
 
 AJAX Debugging with Greasemonkey
 
 Tags:
 
 Ajax
 Debug
 Greasemonkey
 
 2005-09-01 About
 
 mozdev.org - greasemonkey
 
 Tags:
 
 Greasemonkey
 
 2005-05-17 About
 
 Dive Into Greasemonkey
 
 Tags:
 
 Greasemonkey
 
 2005-05-17 About
 
 Alex Russell sur Twitter : "If you install Firefox on Windows, MacOS, Linux, ChromeOS, or Android you get *real* Firefox, complete with the Gecko engine. But not on iOS. Apple cripples engine competition in silent, deeply impactful ways." / Twitter
 
 Tags:
 
 Apple sucks
 Firefox
 iOS
 Web dev
 
 2021-05-10 About
 
 javascript - How does Firefox reader view operate - Stack Overflow
 
 Tags:
 
 Firefox
 Reader mode (browsers)
 Stack Overflow
 
 2017-05-27 About
 
 android - How is 'reader mode' in Firefox triggered? - Stack Overflow
 
 Tags:
 
 Firefox
 Reader mode (browsers)
 Stack Overflow
 
 2017-05-27 About
 
 Pin the Web - Firefox OS Design Concept
 
 Tags:
 
 Firefox
 
 2015-07-16 About
 
 OpenLink Data Explorer :: Firefox Add-ons
 
 Tags:
 
 Firefox
 OpenLink Software
 
 2008-09-02 About
 
 SIMILE | Piggy Bank
 
 Tags:
 
 Firefox
 SIMILE
 
 extension to the Firefox web browser that turns it into a “Semantic Web browser”, letting you make use of existing information on the Web in more useful and flexible ways.
 
 2005-06-01 About
 
 Pigsty - a Firefox extension for RDF galleries
 
 Tags:
 
 Firefox
 RDF
 
 2005-04-21 About
 - Internet Explorer
 Javascript RDF Parser in IE
 
 Vary with Care | IEInternals
 
 Tags:
 
 Internet Explorer
 Vary Header
 
 2016-03-29 About
 
 HOW-TO: Debug JavaScript in Internet Explorer
 
 Tags:
 
 Debug
 Internet Explorer
 JavaScript
 
 2008-06-04 About
 
 Migration d'applications d'Internet Explorer vers Mozilla - MDC
 
 Tags:
 
 Compatibilité Javascript
 Internet Explorer
 Mozilla
 
 2007-11-30 About
 - Reader mode (browsers)
 
 Reader Mode in Safari - The New York Times
 
 Tags:
 
 New York
 New York Times
 Reader mode (browsers)
 Safari
 Times
 
 2019-03-23 About
 
 web - Safari's "Reader Mode" - Open source solution? - Stack Overflow
 
 Tags:
 
 Reader mode (browsers)
 
 2019-03-23 About
 
 javascript - How does Firefox reader view operate - Stack Overflow
 
 Tags:
 
 Firefox
 Reader mode (browsers)
 Stack Overflow
 
 2017-05-27 About
 
 android - How is 'reader mode' in Firefox triggered? - Stack Overflow
 
 Tags:
 
 Firefox
 Reader mode (browsers)
 Stack Overflow
 
 2017-05-27 About
 - Safari
 
 Reader Mode in Safari - The New York Times
 
 Tags:
 
 New York
 New York Times
 Reader mode (browsers)
 Safari
 Times
 
 2019-03-23 About
 
 Safari Developer FAQ
 
 Tags:
 
 FAQ
 Safari
 
 2008-03-18 About
 - Future of the web
 - Micropayments on the web
 - The Web is dying
 - The web sucks
 - DeleteFB
 - Weapon of mass distraction
 
 A Call To Minimize Distration
 
 Tags:
 
 Weapon of mass distraction
 
 2020-01-20 About
 
 Marcel Fröhlich sur Twitter: Tech products, culture are ‘designed intentionally for mass deception’
 
 Tags:
 
 Weapon of mass distraction
 
 2020-01-20 About
 - Web Pollution
 - Web Services
 - RESTful Web Services
 HAL
 
 On APIs, JSON, Linked Data, attitude and opportunities | Linked Data Orchestration
 
 Tags:
 
 APIs and Linked Data
 HAL
 JSON-LD
 
 2017-05-15 About
 
 JSON Hypertext Application Language
 
 Tags:
 
 HAL
 HATEOAS
 
 The JSON Hypertext Application Language (HAL) is a standard which establishes conventions for expressing hypermedia controls, such as links, with JSON
 
 2017-05-15 About
 
 jersey
 jersey/RDF
 Jersey Cache-Control
 
 Jersey vs. RESTEasy: A JAX-RS Implementation Comparison - Genuitec
 
 Tags:
 
 JAX-RS
 jersey
 REST
 RESTEasy
 
 2018-08-05 About
 
 Swagger Core Jersey 2.X Project Setup 1.5 · swagger-api/swagger-core Wiki
 
 Tags:
 
 jersey
 Tutorial
 
 2017-04-03 About
 
 Swagger integration with Jersey
 
 Tags:
 
 jersey
 Tutorial
 
 2017-04-03 About
 
 java - Jersey: How to get the URI of a resource? - Stack Overflow
 
 Tags:
 
 jersey
 Stack Overflow
 
 but <a href="https://java.net/jira/browse/JERSEY-2172"> "No way to look up a resource by its URI"</a>
 
 2016-10-28 About
 
 Jersey: UriConnegFilter now declared final, breaks old code: how to fix it? - Stack Overflow
 
 Tags:
 
 fps' post
 jersey
 Stack Overflow
 
 2016-04-09 About
 
 How to choose between Jersey, Apache Wink and JBoss RESTEasy? - Stack Overflow
 
 Tags:
 
 jersey
 RESTEasy
 
 2016-04-01 About
 
 Writing lightweight REST integration tests with the Jersey Test Framework
 
 Tags:
 
 jersey
 JUnit
 Tests
 
 2015-04-09 About
 
 Registering Resources and Providers in Jersey 2 | tl;dr
 
 Tags:
 
 jersey
 
 2014-10-09 About
 
 Code and tech stuff: Writing REST Services in Java: Part 6 Security & Authorization
 
 Tags:
 
 jersey
 Security
 Security and REST
 
 2014-09-26 About
 
 User authentication on a Jersey REST service - Stack Overflow
 
 Tags:
 
 Authentication
 jersey
 Stack Overflow
 
 2014-09-26 About
 
 Jersey user guide. Chapter 15. Security
 
 Tags:
 
 jersey
 Security
 
 2014-09-26 About
 
 Jersey User Guide
 
 Tags:
 
 jersey
 
 2014-09-16 About
 
 What Makes Jersey Interesting: Injection Providers | codahale.com
 
 Tags:
 
 jersey
 
 Jersey has an internal dependency injection system which allows you to write small, focused classes to extract aspects of an HTTP request–in our case, the request’s locale–and inject them into your resource classes as an object of an appropriate type.
 
 2014-09-16 About
 
 Things to remember: Resteasy Form annotation for Jersey
 
 Tags:
 
 jersey
 
 2012-07-10 About
 
 Sleepless in Salt Lake City: An Example of Caching with REST using Jersey JAX-RS
 
 Tags:
 
 HTTP Cache
 jersey
 
 2012-05-07 About
 
 RESTful services with jQuery and Java using JAX-RS and Jersey
 
 Tags:
 
 Howto
 jersey
 jQuery
 
 2012-03-21 About
 
 What Makes Jersey Interesting: Parameter Classes | codahale.com
 
 Tags:
 
 jersey
 Tutorial
 
 2012-01-19 About
 
 REST with Java (JAX-RS) using Jersey - Tutorial
 
 Tags:
 
 jersey
 Tutorial
 
 2011-08-23 About
 
 Support variant selection based on file extension
 
 Tags:
 
 jersey
 
 2011-08-23 About
 
 Overview of JAX-RS 1.0 Features - Jersey: RESTful Web services made easy - wikis.sun.com
 
 Tags:
 
 jersey
 RESTful Web Services
 
 2011-08-19 About
 
 Build a RESTful Web service using Jersey and Apache Tomcat
 
 Tags:
 
 jersey
 Tomcat
 
 2011-07-29 About
 
 Jersey User Guide
 
 Tags:
 
 jersey
 
 2011-07-29 About
 
 UriConnegFilter (jersey-bundle 1.6 API)
 
 Tags:
 
 jersey
 
 permet de traiter facilement les .html, .rdf, etc... en remplacant ces suffixes par le accept-header correspondant avant de traiter la requête This filter may be used when the accetable media type and acceptable language need to be declared in the URI.
 
 2011-04-18 About
 
 REST: Jersey configuration on Tomcat - Surya Suravarapu's Blog
 
 Tags:
 
 jersey
 Tomcat
 
 2011-02-04 About
 
 Restful semantic web services
 Spark (Java web framework)
 
 Use Elasticsearch in your Java applications
 
 Tags:
 
 ElasticSearch
 Spark (Java web framework)
 Tutorial
 
 2017-05-15 About
 
 Spark Framework: A tiny Java web framework
 
 Tags:
 
 Spark (Java web framework)
 
 2017-05-15 About
 
 FastAPI
 
 Tags:
 
 Discuté avec Raphaël
 Python
 RESTful Web Services
 
 2021-10-04 About
 
 Overview of JAX-RS 1.0 Features - Jersey: RESTful Web services made easy - wikis.sun.com
 
 Tags:
 
 jersey
 RESTful Web Services
 
 2011-08-19 About
 
 Serialising Java Objects to RDF with Jersey
 
 Tags:
 
 Henry Story
 Java dev
 RDF
 RESTful Web Services
 
 Jersey is the reference implementation of JSR311 (JAX-RS) the Java API for RESTful Web Services. In short JSR311 makes it easy to publish graphs of Java Objects to the web, and implement update and POST semantics - all this using simple java annotations. It makes it easy for Java developers to do the right thing when writing data to the web.
 
 2010-05-12 About
 
 RESTful Web Services: the book
 
 Tags:
 
 Henry Story
 RDF
 RESTful Web Services
 Semantic Web : introduction
 
 That's RDF for you. It's so simple I am able to explain it to people in bars within a minute. Here is an example, which says that my name is Henry: <http://bblfish.net/people/henry/card#me> <http://xmlns.com/foaf/0.1/name> "Henry Story". Click on the URLs and you will GET their meaning. Since resources can return any number of representations, different user agents can get the representation they prefer.
 
 2008-05-08 About
 - Semantic Web Services
 - Semantic Web Services vs SOAP
 - SOA
 RDF and SOA
 SMR
 
 « Le “petit” nucléaire n’est pas à l’abri des déboires du “gros”, comme l’EPR français »
 
 Tags:
 
 Industrie nucléaire
 SMR
 
 2023-11-11 About
 
 Oracle Sees Semantic Tech Solving Business Problems
 
 Tags:
 
 Oracle
 Semantic Enterprise
 SOA
 
 There are three sort of megatrends going on in the data center right now. One is SOA in particular for applications, that enables you to essentially break apart monolithic applications and combine them as services. But the second big trend then is to decouple the data from the application or the application services, so that in that sense what you can do is write your application or create services independent of the data sources they have to deal with, which comes full circle back to having a virtual layer between application services and data.
 
 2010-07-01 About
 
 Oracle Sees Semantic Tech Solving Business Problems
 
 Tags:
 
 Oracle
 Semantic Enterprise
 Semantic web: evangelization
 SOA
 
 moved to http://www.semanticweb.com/main/oracle_sees_semantic_tech_solving_business_problems_138811.asp
 
 2008-05-20 About
 
 http://www.projectliberty.org/resources/whitepapers/Web_Services_Nokia.pdf
 
 Tags:
 
 SOA
 Web Services
 
 2005-10-25 About
 - SOAP
 Semantic Web Services vs SOAP
 SOAP vs REST
 
 REST is the new SOAP – freeCodeCamp
 
 Tags:
 
 REST
 SOAP vs REST
 
 [a response](https://philsturgeon.uk/api/2017/12/18/rest-confusion-explained/)
 
 2018-03-10 About
 
 12 Things You Should Know About REST and WOA
 
 Tags:
 
 REST
 SOAP vs REST
 
 2008-04-15 About
 
 Re: FW: draft findings on Unsafe Methods (whenToUseGet-7) from Roy T. Fielding on 2002-04-23
 
 Tags:
 
 Roy T. Fielding
 SOAP
 SOAP vs REST
 W3C
 
 I can say with authority that the W3C was created by big businesses specifically to prevent their own marketing departments from destroying the value inherent in the Web through their own, and their competitors', short-sighted, quarterly-revenue-driven pursuit of profits The only reason SOAP remains in the W3C for standardization is because all of the other forums either rejected the concept out of hand or refused to rubber-stamp a poor implementation of a bad idea.
 
 2006-06-25 About
 
 REST (slides)
 
 Tags:
 
 REST
 SOAP vs REST
 
 2006-06-25 About
 
 XML.com: REST Roundup
 
 Tags:
 
 Leigh Dodds
 SOAP vs REST
 
 2006-02-23 About
 
 SOAP is boring
 
 Tags:
 
 SOAP vs REST
 
 2005-10-13 About
 
 More Nails For SOAP's Coffin
 
 Tags:
 
 SOAP vs REST
 
 2005-10-13 About
 
 Web Forefront: The Web Services debate : SOAP vs. REST [ XML/HTTP ]
 
 Tags:
 
 SOAP vs REST
 
 2005-09-19 About
 
 Re: FW: draft findings on Unsafe Methods (whenToUseGet-7) from Roy T. Fielding on 2002-04-23
 
 Tags:
 
 Roy T. Fielding
 SOAP
 SOAP vs REST
 W3C
 
 I can say with authority that the W3C was created by big businesses specifically to prevent their own marketing departments from destroying the value inherent in the Web through their own, and their competitors', short-sighted, quarterly-revenue-driven pursuit of profits The only reason SOAP remains in the W3C for standardization is because all of the other forums either rejected the concept out of hand or refused to rubber-stamp a poor implementation of a bad idea.
 
 2006-06-25 About
 
 Call SOAP Web services with Ajax
 
 Tags:
 
 Ajax
 IBM developerWorks
 SOAP
 Web Services
 
 Implement a Web browser-based SOAP Web services client using the Asynchronous JavaScript and XML (Ajax) design pattern.
 
 2006-02-05 About
 
 SOAP is Comatose But Not Officially Dead!
 
 Tags:
 
 SOAP
 
 2005-10-13 About
 
 What if SOAP had never happened?
 
 Tags:
 
 SOAP
 
 SOAP has never been and still isn't necessary as a means of getting XML from one place to another.
 
 2005-10-13 About
 - SOAP vs REST
 - Web services : critique
 SOAP vs REST
 
 ONLamp.com: Bosworth's Web of Data
 
 Tags:
 
 Google
 MySQL
 Semantic Web : critique
 Web services : critique
 
 2005-10-25 About
 - Web services: document vs RPC Style
 
 Document vs. RPC style--why is it a big deal?
 
 Tags:
 
 Web services: document vs RPC Style
 
 2005-10-14 About
 - Web Services for JavaScript
 
 XML.com: JSON and the Dynamic Script Tag: Easy, XML-less Web Services for JavaScript
 
 Tags:
 
 JSON
 Web Services for JavaScript
 
 2006-02-07 About
 - WS-* vs. POX/HTTP
 
 The War is Over (WS-* vs. POX/HTTP)
 
 Tags:
 
 WS-* vs. POX/HTTP
 
 2005-10-13 About
 - WSDL
 
 Web Services Description Language (WSDL) Version 2.0: RDF Mapping
 
 Tags:
 
 RDF
 W3C
 WSDL
 
 The main objective of this specification is to present a standard RDF vocabulary equivalent to WSDL 2, so that all WSDL 2 documents can be transformed into RDF and merged with other Semantic Web data.
 
 2005-11-04 About
 
 Tip: Use XML directly over HTTP for Web services (where appropriate)
 
 Tags:
 
 REST
 Web Services
 WSDL
 
 2005-10-20 About
 - Web tools
 - Google Structured Data Testing Tool
 - jsFiddle
 
 VIE.js - Skeleton - jsFiddle
 
 Tags:
 
 jsFiddle
 Sample code
 VIE Vienna IKS Editables
 
 2012-08-08 About
- Web 2.0
 - Mashups
 - Semantic mashups
 - sig.ma
 
 Data Scraping Wikipedia with Google Spreadsheets « OUseful.Info, the blog…
 
 Tags:
 
 Google Spreadsheets
 Mashups
 Wikipedia
 
 2008-10-18 About
 
 The ultimate mashup -- Web services and the semantic Web
 
 Tags:
 
 IBM developerWorks
 Jena
 Mashups
 Semantic Web Services
 Web Services
 
 In addition to single-service applications, developers are creating mashups, applications that combine data from multiple services to create something new. This series chronicles the creation of the ultimate mashup, an application that not only stores data from different mashups but uses semantic technology to enable users to create their own mashups by swapping services, or even by picking and choosing data. It uses Java™ programming and a combination of servlets, JSP, software from the open source Jena project, and DB2's new native XML capabilities.
 
 2006-08-29 About
 
 Mashups: The new breed of Web app
 
 Tags:
 
 IBM developerWorks
 Mashups
 
 An introduction to mashups
 
 2006-08-19 About
 
 ProgrammableWeb: Mashups and the Web as Platform
 
 Tags:
 
 Mashups
 Web 2.0
 
 Keeping you up to date with the latest on mashups and the new Web 2.0 APIs
 
 2006-05-22 About
 - Semantic Web / Web 2.0
 - Social Content Services
 - Social bookmarking
 
 Topics, aggregators, K-collector and other assorted stuff.
 
 Tags:
 
 Aggregators
 Social Content Services
 Social software
 
 Our main goal is the development of an enterprise news aggregator that leverages the power of shared topics to present new ways of finding and combining the real knowledge in your organization. Goal: a system to organize contents created with weblogs and personal aggregators and allow people to easily browse these contents at any time. One of the keys of this system is that there are no pre-existing lists of topics that must be set up and configured. Topics get on the server via RSS feeds while users create them, and they are distributed to all other users within the same cloud via TopicRolls. The basic idea is to allow for topics and posts to somehow self-organize without any top-down design approach
 
 2006-01-17 About
 
 Protopage - AJAX personal bookmarks springboard
 
 Tags:
 
 Ajax
 Social Content Services
 
 2005-10-05 About
 
 Connecting Social Content Services using FOAF, RDF and REST
 
 Tags:
 
 foaf
 Leigh Dodds
 RDF
 REST
 Social Content Services
 
 2005-09-29 About
 - Web 2.0 application
 - Web 2.0 businesses
 - Yahoo - My Web 2.0
 PrestaShop Free Open-Source e-Commerce Software for Web 2.0
 
 Tags:
 
 Open Source
 Software
 Web 2.0
 
 Déjà plus de 50 000 boutiques utilisent PrestaShop à travers le monde !
 
 2011-04-07 About
 Soutenance de thèse "Technologies du Web Sémantique pour l'Entreprise 2.0" | Alexandre Passant
 
 Tags:
 
 Alexandre Passant
 Semantic Enterprise
 Web 2.0
 
 2009-05-28 About
 Web 2.0 ... The Machine is Us/ing Us
 
 Tags:
 
 Web
 Web 2.0
 YouTube video
 
 The web in five minutes
 
 2008-12-16 About
 XTech 2008: Why you should have a Website — IDEAlliance
 
 Tags:
 
 DataPortability
 Web 2.0
 XTech
 
 Web 2.0 partitions the Web into a number of topical sub-Webs, and locks you in, thereby reducing the value of the network as a whole.
 
 2008-06-17 About
 Transnets » Blog Archive » Porno 2.0: à la traîne
 
 Tags:
 
 Cybersex
 Transnets
 Web 2.0
 
 2007-11-14 About
 ConTag A Tagging System: Linking the Semantic Desktop with Web 2.0
 
 Tags:
 
 LinkTo Semanlink
 Semantic Desktop
 Tagging
 Web 2.0
 
 Diploma Thesis qui cite Semanlink
 
 2007-04-20 About
 digg
 
 Tags:
 
 News website
 Social software
 Web 2.0
 
 Digg is a technology news website that combines social bookmarking, blogging, RSS, and non-hierarchical editorial control. With digg, users submit stories for review, but rather than allow an editor to decide which stories go on the homepage, the users do.
 
 2006-05-23 About
 ProgrammableWeb: Mashups and the Web as Platform
 
 Tags:
 
 Mashups
 Web 2.0
 
 Keeping you up to date with the latest on mashups and the new Web 2.0 APIs
 
 2006-05-22 About
 AIM Pages
 
 Tags:
 
 AOL
 Web 2.0
 
 AOL’s social networking product
 
 2006-05-22 About
 Netvibes
 
 Tags:
 
 Web 2.0
 
 2006-04-24 About
 Rojo
 
 Tags:
 
 Feed aggregator
 Web 2.0
 
 Web-based feed reader
 
 2006-04-24 About
 Transnets, des gadgets aux réseaux
 
 Tags:
 
 Transnets
 Web 2.0
 
 2006-04-18 About
 Native to a Web of Data (Tom Coates, plasticbag.org)
 
 Tags:
 
 Slides
 Web 2.0
 Web of data
 
 2006-03-11 About
 Transnets, des gadgets aux réseaux: Aperçus sur la toile de demain
 
 Tags:
 
 Transnets
 Web 2.0
 
 2006-03-10 About
 The Best Web 2.0 Software of 2005
 
 Tags:
 
 Web 2.0
 
 2005-12-12 About
 Web 2.0
 
 Tags:
 
 Good
 Google
 Paul Graham
 Web 2.0
 
 2005-11-23 About
- Web architecture
 - HTTP GET vs POST
 - Test of independent invention
 - Web architecture
 
 The Evolution of a specification -- Commentary on Web
 
 Tags:
 
 Test of independent invention
 Tim Berners-Lee
 Web architecture
 
 2009-04-14 About
 
 -- Axioms of Web architecture
 
 Tags:
 
 Architecture
 Principle of least power
 Test of independent invention
 Tim Berners-Lee
 Web
 Web architecture
 
 2009-04-14 About
 - URI
 - URI dereferencing
 Why is the Web Loosely Coupled? A Multi-Faceted Metric for Service Design
 
 Tags:
 
 Coupling
 Web architecture
 Web Services
 
 This paper presents a systematic study of the degree of coupling found in service-oriented systems
 
 2016-01-04 About
 Read-Write linked data - Design Issues
 
 Tags:
 
 Read-Write Linked Data
 Tim Berners-Lee
 Web architecture
 
 2011-03-08 About
 Socially aware cloud storage - Design Issues
 
 Tags:
 
 Cloud
 Social Web
 Tim Berners-Lee
 Web architecture
 WebID
 
 There is an architecture in which a few existing or Web protocols are gathered together with some glue to make a world wide system in which applications (desktop or Web Application) can work on top of a layer of commodity read-write storage. Crucial design issues are that principals (users) and groups are identifies by URIs, and so are global in scope, and that elements of storage are access controlled using those global identifiers. The result is that storage becomes a commodity, independent of the application running on it.
 
 2011-03-08 About
 Fractal Web - Commentary on Web Architecture
 
 Tags:
 
 Tim Berners-Lee
 Web architecture
 
 The Scale-free nature of the Web
 
 2010-08-23 About
 The Evolution of a specification -- Commentary on Web
 
 Tags:
 
 Test of independent invention
 Tim Berners-Lee
 Web architecture
 
 2009-04-14 About
 -- Axioms of Web architecture
 
 Tags:
 
 Architecture
 Principle of least power
 Test of independent invention
 Tim Berners-Lee
 Web
 Web architecture
 
 2009-04-14 About
 Abstractions in Web architecture - Design Issues
 
 Tags:
 
 Tim Berners-Lee
 Web architecture
 
 The Semantic Web's realization is: It is isn't the documents which are actually interesting, it is the things they are about!
 
 2007-11-14 About
 What do HTTP URIs Identify? - Design Issues
 
 Tags:
 
 httpRange-14
 Tim Berners-Lee
 URI
 Web architecture
 
 "This was a result of my being in a minority with this opinion on the Technical Architecture Group, and yet finding it the only one I could accept. This is related to TAG issue HTTPRange-14." (TBL)
 
 2007-01-02 About
 Architecture of the World Wide Web, Volume One
 
 Tags:
 
 Norman Walsh
 URI dereferencing
 W3C Recommendation
 Web architecture
 
 This architecture document discusses the core design components of the Web. They are identification of resources, representation of resource state, and the protocols that support the interaction between agents and resources in the space. We relate core design components, constraints, and good practices to the principles and properties they support.
 
 2006-12-31 About
- Web site design
- Wiki
- Yahoo!
 Chinese vlogger who used filter to look younger caught in live-stream glitch - BBC News
 Tags:
 
 Internet
 2019-07-31 About
 Who’s the true enemy of internet freedom - China, Russia, or the US? | Evgeny Morozov
 Tags:
 
 Chine
 Evgeny Morozov
 Internet
 2015-01-04 About
 Nick Grossman's Slow Hunch — Should we regulate the Internet the real world way or the real world the Internet way?
 Tags:
 
 Internet
 Rideshare
 Seattle
 Taxi
 2014-04-16 About
 Is 303 Really Necessary? - Internet Alchemy
 Tags:
 
 httpRange-14
 Internet
 2010-11-11 About
 Karin Spaink - The Fishman Affidavit: contents
 Tags:
 
 Hyperlinks
 Infringing material
 Internet
 Propriété intellectuelle
 Scientologie
 Although I won, there's one thing that seriously bugs me, and other people. The court ruled that hyperlinks and url's refering to pages that contain infringing material must in themselves be considered to be infringing. That cuts at the heart of the net. To name one example: it makes search engines illegal: they often refer to pages that contain infringing material. This is the famous Fishman Affidavit. To explain why is has become so famous, I'll give you some more information. And please take a look at the Scientology Litigation Kit, where I list the materials used for my defense and the lawsuit materials (lawsuits, plea, defense, rulings) and at postings and news about the Dutch Protest.
 
 2005-09-01 About
Musique en ligne
- Music store
  - iTunes
- Zune
NTIC et développement
- Internet en Afrique
- New Africa
  - Boucle ferroviaire d’Afrique de l’Ouest
  - Juliana Rotich
Online Learning
- Linked Learning
- MOOC
  - Coursera
    - Coursera: A History of the World since 1300
      
      Announcements | A History of the World since 1300
      
      Tags:
      
      Coursera: A History of the World since 1300
      
      2013-10-09 About
      
      A History of the World since 1300 | Coursera
      
      Tags:
      
      Coursera: A History of the World since 1300
      
      2013-08-26 About
    - Coursera: Computational Neuroscience
      
      Numenta: Hierarchical Temporal Memory, including HTM cortical learning algorithms
      
      Tags:
      
      Coursera: Computational Neuroscience
      Hierarchical temporal memory
      http://www.semanlink.net/tag/neuroscience_and_machine_learning
      
      2014-01-19 About
      
      Spike-triggered average - Wikipedia, the free encyclopedia
      
      Tags:
      
      Coursera: Computational Neuroscience
      
      week 2
      
      2014-01-18 About
      
      Rajesh Rao: Une Pierre de Rosette pour l'écriture de l'Indus | Video on TED.com
      
      Tags:
      
      Civilisation de l'Indus
      Coursera: Computational Neuroscience
      TED
      
      2014-01-11 About
      
      Computational Neuroscience | Coursera
      
      Tags:
      
      Coursera: Computational Neuroscience
      
      2013-11-30 About
    - Coursera: Deep Learning
      
      Notes from Coursera Deep Learning courses by Andrew Ng
      
      Tags:
      
      Coursera: Deep Learning
      SlideShare
      
      2018-03-05 About
    - Coursera: Introduction to Data Science
      
      Syllabus | Introduction to Data Science
      
      Tags:
      
      Coursera: Introduction to Data Science
      
      2013-06-16 About
      
      Introduction to Data Science | Coursera
      
      Tags:
      
      Coursera: Introduction to Data Science
      
      2013-03-29 About
    - Coursera: Machine Learning
      
      How can Neural Networks be applied to Time Series Forecasting?
      
      Tags:
      
      Coursera: Machine Learning
      Time Series
      
      2014-04-28 About
      
      Digit recognition to solve Sudoku puzzles automatically with a webcam - MATLAB Vidéo
      
      Tags:
      
      Coursera: Machine Learning
      Matlab
      
      2014-04-02 About
    - Coursera: NLP class
      
      Introduction to Information Retrieval, Cambridge University Press (2008) Manning, Raghavan, and Schütze
      
      Tags:
      
      AI: books & journals
      Chris Manning
      Coursera: NLP class
      Good
      Information retrieval
      Information retrieval: techniques
      NLP@Stanford
      
      2012-04-01 About
      
      SRILM - The SRI Language Modeling Toolkit
      
      Tags:
      
      Coursera: NLP class
      Language Model
      NLP tools
      
      SRILM is a toolkit for building and applying statistical language models (LMs), primarily for use in speech recognition, statistical tagging and segmentation, and machine translation.
      
      2012-03-24 About
      
      Unix for Poets
      
      Tags:
      
      Coursera: NLP class
      Unix
      
      2012-03-19 About
      
      Porter Stemming Algorithm
      
      Tags:
      
      Coursera: NLP class
      Stemming
      
      2012-03-18 About
      
      Regular-Expressions.info - Regex Tutorial, Examples and Reference - Regexp Patterns
      
      Tags:
      
      Coursera: NLP class
      Regex
      
      2012-03-07 About
    - Coursera: R Programming
      
      R Programming | Coursera
      
      Tags:
      
      Coursera: R Programming
      
      2015-01-06 About
    - Coursera: The Data Scientist’s Toolbox
      
      The Data Scientist’s Toolbox | Coursera
      
      Tags:
      
      Coursera: The Data Scientist’s Toolbox
      
      2015-01-06 About
    - Coursera: Web Intelligence and Big Data
      
      Time, clocks, and the ordering of events in a distributed system
      
      Tags:
      
      Coursera: Web Intelligence and Big Data
      Distributed computing
      NoSQL and eventual consistency
      
      The concept of one event happening before another in a distributed system is examined, and is shown to define a partial ordering of the events. A distributed algorithm is given for synchronizing a system of logical clocks which can be used to totally order the events. The use of the total ordering is illustrated with a method for solving synchronization problems. The algorithm is then specialized for synchronizing physical clocks, and a bound is derived on how far out of synchrony the clocks can become.
      
      2013-04-29 About
      
      Web Intelligence and Big Data - Coursera
      
      Tags:
      
      Coursera: Web Intelligence and Big Data
      
      2013-04-02 About
  - Fast.ai course
  - Online Course Materials
    - Course Material on IR
      
      sebastian-hofstaetter/teaching: Open-Source Information Retrieval Courses @ TU Wien
      
      Tags:
      
      Course Material on IR
      
      2022-01-17 About
    - Coursera
    - fast.ai
      Fast.ai course
      nbdev.fast.ai
      
      fastai/nbdev: Create delightful python projects using Jupyter Notebooks
      
      Tags:
      
      Jeremy Howard
      nbdev.fast.ai
      
      a library that allows you to fully develop a library in Jupyter Notebooks, putting all your code, tests and documentation in one place [Blog post](https://www.fast.ai/2019/12/02/nbdev/)
      
      2020-01-12 About
      
      fast.ai - Can LLMs learn from a single example?
      
      Tags:
      
      Catastrophic forgetting
      fast.ai
      Jeremy Howard
      LLM
      LM Fine-tuning
      
      > We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example. > But when models learn this fast, the catastrophic forgetting problem may suddenly become far more pronounced
      
      2023-10-21 About
      
      fast.ai - Mojo may be the biggest programming language advance in decades
      
      Tags:
      
      fast.ai
      Jeremy Howard
      Julia
      Mojo
      Programming language
      Python
      Swift
      
      > Mojo is a new programming language, based on Python, which fixes Python’s performance and deployment problems.
      
      2023-05-06 About
      
      fastai v2 cheat sheets
      
      Tags:
      
      Cheat sheet
      fast.ai
      
      2021-05-10 About
      
      Should you use FastAI? - deeplearningbrasilia - Medium
      
      Tags:
      
      fast.ai
      
      TL;DR: yes
      
      2020-04-27 About
      
      fastai/fastpages: An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
      
      Tags:
      
      Blogging platform
      fast.ai
      
      2020-02-25 About
      
      FastHugs | ntentional
      
      Tags:
      
      fast.ai
      huggingface / transformers
      NLP sample code
      Text Classification
      
      Notebook: fine-tune a text classification model with HuggingFace transformers and fastai-v2.
      
      2020-02-19 About
      
      [2002.04688] fastai: A Layered API for Deep Learning
      
      Tags:
      
      API
      Arxiv Doc
      fast.ai
      Jeremy Howard
      
      Paper describing the fast.ai v2 API
      
      2020-02-13 About
      
      Jeremy Howard sur Twitter : "The fastai paper (with @GuggerSylvain) covers v2..."
      
      Tags:
      
      fast.ai
      Jeremy Howard
      Tweet
      
      2020-02-13 About
      
      Your own blog with GitHub Pages and fast_template (4 part tutorial) · fast.ai
      
      Tags:
      
      Blog
      fast.ai
      GitHub Pages
      Jeremy Howard
      Tutorial
      
      2020-01-21 About
      
      Syncing your blog with your PC, and using your word processor · fast.ai
      
      Tags:
      
      Blog
      fast.ai
      Jeremy Howard
      
      2020-01-19 About
      
      Fastai with Transformers (BERT, RoBERTa, XLNet, XLM, DistilBERT)
      
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      fast.ai
      Hugging Face
      huggingface / transformers
      Transformers
      
      integrates HuggingFace into fastai
      
      2019-11-30 About
      
      Bayesian deep learning with Fastai : how not to be uncertain about your uncertainty !
      
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      Bayesian Deep Learning
      fast.ai
      
      2019-11-29 About
      
      Finding Data Block Nirvana (a journey through the fastai data block API) — Part 2
      
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      fast.ai
      Text and structured data (ML-NLP)
      
      mixing tabular data and text using @fastdotai. An overview of how to use DataBlocks.
      
      2019-11-01 About
      
      Efficient multi-lingual language model fine-tuning · fast.ai NLP
      
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      Cross-lingual NLP
      fast.ai
      Multilingual embeddings
      Multilingual Language Models
      Sebastian Ruder
      ULMFiT
      
      2019-10-22 About
      
      course-nlp/2-svd-nmf-topic-modeling.ipynb at master · fastai/course-nlp
      
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      fast.ai
      Non-negative matrix factorization
      Singular Value Decomposition
      
      2019-07-11 About
      
      Introducing FastBert — A simple Deep Learning library for BERT Models
      
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      BERT
      fast.ai
      huggingface / transformers
      
      2019-05-23 About
      
      Radek Osmulski sur Twitter : "You would expect a difference in row access times depending on the type of a sparse matrix, but I didn't realize the difference would be so big!
      
      Tags:
      
      fast.ai
      Python tips
      scikit-learn
      Sparse matrix
      
      2019-05-05 About
      
      GCP and Fast Ai v1: A full setup that’ll work – mc.ai
      
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      fast.ai
      Google Cloud Platform
      
      2019-05-03 About
      
      fast.ai Embracing Swift for Deep Learning · fast.ai
      
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      fast.ai
      Swift
      
      2019-03-07 About
      
      Finding Data Block Nirvana (a journey through the fastai data block API)
      
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      fast.ai
      
      2019-01-15 About
      
      DeepLearning Images Revision M13/14. PyTorch 1.0. Git Integration. Smaller Boot Time.
      
      Tags:
      
      fast.ai
      Google Cloud Platform
      PyTorch
      
      2018-12-12 About
      
      GCP | fast.ai course v3
      
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      fast.ai
      Google Cloud Platform
      
      2018-12-05 About
      
      Fast.ai with Google Colab
      
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      fast.ai
      Google Colab
      
      2018-12-02 About
      
      Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python - Analytics Vidhya
      
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      fast.ai
      Google Colab
      Text Classification
      Tutorial
      ULMFiT
      
      2018-12-01 About
      
      fast.ai · Making neural nets uncool again
      
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      fast.ai
      
      2017-11-28 About
    - Machine Learning Course
      Coursera: Deep Learning
      Coursera: Machine Learning
      fast.ai
      
      Andrej Karpathy sur Twitter : "Let's build GPT: from scratch, in code, spelled out."
      
      Tags:
      
      Andrej Karpathy
      Machine Learning Course
      OpenAI GPT
      
      2023-01-28 About
      
      CS294-158-SP20 Deep Unsupervised Learning Spring 2020
      
      Tags:
      
      Berkeley
      Deep Unsupervised Learning
      Generative model
      Machine Learning Course
      
      cover two areas of deep learning in which labeled data is not required: Deep Generative Models and Self-supervised Learning
      
      2020-03-08 About
      
      Machine Learning Crash Course | Google Developers
      
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      Doc by Google
      Machine Learning Course
      
      2020-02-18 About
      
      Machine Learning at the VU University Amsterdam
      
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      Machine Learning Course
      Peter Bloem
      
      2020-02-18 About
      
      Chip Huyen sur Twitter : "This thread is a combination of 10 free online courses on machine learning that I find the most helpful"
      
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      Machine Learning Course
      Online Learning
      Tweet
      
      2019-08-04 About
      
      Google's Machine Learning Crash Course | Google Developers
      
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      Google
      Machine Learning Course
      
      2018-03-12 About
- Online Course Materials
  raphaelsty/abayes: Autoregressive Bayesian linear model
  Tags:
  
  Bayesian analysis
  Online Learning
  Raphaël Sourty
  2020-09-11 About
  Chip Huyen sur Twitter : "This thread is a combination of 10 free online courses on machine learning that I find the most helpful"
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  Machine Learning Course
  Online Learning
  Tweet
  2019-08-04 About
  Sugata Mitra opens his first independent learning lab in India | TED Blog
  Tags:
  
  Inde
  Online Learning
  TED
  A School in the Cloud among the mangrove trees
  
  2014-03-17 About
  La salle de classe planétaire
  Tags:
  
  Andrew Ng
  Coursera
  Daphne Koller
  Education
  Online Learning
  2012-08-09 About
  Emerging Web Technologies, Facing the Future of Education — EducTice
  Tags:
  
  Education
  Online Learning
  Workshop
  WWW 2012
  2012-04-11 About
  'Badges' Earned Online Pose Challenge to Traditional College Diplomas - College 2.0 - The Chronicle of Higher Education
  Tags:
  
  Education
  Online Learning
  We live in a world where anyone can learn anything, anytime, anywhere, but we haven't remotely reorganized our workplace or school for this age
  
  2012-01-10 About
  M.I.T. Game-Changer: Free Online Education For All - Forbes
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  Education
  MIT
  Online Learning
  2012-01-03 About
  Making You More Awesome: The Red-Hot World of Online Learning Services
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  Online Learning
  2012-01-02 About
  Best Software For Putting Lectures Online? - Slashdot
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  Online Learning
  2012-01-02 About
  Get Homework Help with CliffsNotes Study Guides
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  Online Learning
  2011-12-28 About
  MIT launches online learning initiative - MIT News Office
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  MIT
  Online Learning
  MIT will couple online learning with research on learning
  
  2011-12-21 About
  eLearn Magazine: The Semantic Web and E-learning
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  Online Learning
  Semantic Web Assisted Learning
  2011-04-04 About
  E-Learning Model Based On Semantic Web Technology
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  Online Learning
  Semantic Web Assisted Learning
  2011-04-04 About
  Semantic Web Assisted Learning Experience Management – Architecture and Strategy for Collaborative Learning Experience Sharing
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  Online Learning
  Semantic Web Assisted Learning
  2011-04-04 About
  Moodle.org: open-source community-based tools for learning
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  Online Learning
  Open Source
  Web tools
  Moodle is a Course Management System (CMS), also known as a Learning Management System (LMS) or a Virtual Learning Environment (VLE). It is a Free web application that educators can use to create effective online learning sites.
  
  2010-08-30 About
  The Web Way to Learn a Language
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  Langues vivantes
  Online Learning
  2010-03-07 About
  Deseret News | Universities will be 'irrelevant' by 2020, Y. professor says
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  Online Learning
  Université
  knowledge is a public good and should be fully shared
  
  2009-04-22 About
  Alistair Miles » SKOS and RDFa in e-Learning
  Tags:
  
  Alistair Miles
  Online Learning
  RDFa
  SKOS
  Both SKOS and RDFa have interesting consequences for e-learning technology, and especially for leveraging the Web as a platform for delivering learning.
  
  2007-11-20 About
Quantum computing
- Cryptographie quantique
- Quantum neuromorphic computing
RFID
- RFID passports
Spintronique
Transnets
XTech
- XTech 2006
- XTech 2007

1 Document (Long List)

Air guitarists’ rock dreams come true - New Scientist

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2005-11-28 About

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