Semanlink - Yago

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4 Documents (Long List)

LINDEN: Linking Named Entities with Knowledge Base via Semantic Knowledge

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2012-04-19 About

Factorizing Yago: scalable machine learning for the sw

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2012-04-18 About

YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia - Paper

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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

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Yago

2007-05-23 About

Properties

sl:creationDate : 2007-05-23
sl:creationTime : 2007-05-23T21:33:08Z
rdf:type : sl:Tag
skos:prefLabel : Yago
foaf:homepage : http://www.mpi-inf.mpg.de/yago-naga/yago/