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SIGMOD
2008
ACM

The YAGO-NAGA approach to knowledge discovery

8 years 10 months ago
The YAGO-NAGA approach to knowledge discovery
This paper gives an overview on the YAGO-NAGA approach to information extraction for building a conveniently searchable, large-scale, highly accurate knowledge base of common facts. YAGO harvests infoboxes and category names of Wikipedia for facts about individual entities, and it reconciles these with the taxonomic backbone of WordNet in order to ensure that all entities have proper classes and the class system is consistent. Currently, the YAGO knowledge base contains about 19 million instances of binary relations for about
Gjergji Kasneci, Maya Ramanath, Fabian M. Suchanek
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where SIGMOD
Authors Gjergji Kasneci, Maya Ramanath, Fabian M. Suchanek, Gerhard Weikum
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