Semantic hashing using tags and topic modeling (2013)(About) 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)
SCOT:Let’s Share Tags! » About SCOT(About) 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.
veotag(About) veotag is a new service that lets you display clickable text, called "veotags," within an audio or video file.
Your audience can see the veotags whenever they play your file on the web. Clicking on a veotag lets your audience jump right to that part of the file.
WIT - The Add-A-Tag algorithm(About) 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.
Using labels to give semantics to tags - Design Issues(About) 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.
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Tagging System(About) Facetag is a working prototype of a semantic
collaborative tagging tool conceived for bookmarking
information architecture resources. It aims to show how the
widespread homogeneous and flat keywords' space of tags can be
effectively mixed with a richer faceted classification scheme to
improve the “information scent” and “berrypicking” capabilities
of the system. The additional semantic structure is aggregated
both implicitly observing user behaviour and explicitly
introducing a compelling user experience to facilitate the
creation of relationships between tags directly by end-users.
Facetag current implementation is written in PHP / SQL and
includes an open API which allows querying and integration
from other applications.
XTech 2006: Semantics Through the Tag(About) 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
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!
Folksonomies: Tidying up Tags?(About) We begin by looking at the issue of "sloppy tags", and ask if there are ways the folksonomy community could offset such problems and create systems that are conducive to searching, sorting and classifying. We then go on to question this "tidying up" approach and its underlying assumptions, highlighting issues surrounding removal of low-quality, redundant or nonsense metadata, and the potential risks of tidying too neatly and thereby losing the very openness that has made folksonomies so popular.
TagCloud - Home(About) TagCloud is an automated Folksonomy tool. Essentially, TagCloud searches any number of RSS feeds you specify, extracts keywords from the content and lists them according to prevalence within the RSS feeds. Clicking on the tag’s link will display a list of all the article abstracts associated with that keyword.