Yago: A Core of Semantic Knowledge

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Yago: A Core of Semantic Knowledge (2007)

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by Fabian M. Suchanek , Gjergji Kasneci , Gerhard Weikum

Venue:	IN PROC. OF WWW ’07
Citations:	504 - 66 self

BibTeX

@INPROCEEDINGS{Suchanek07yago:a,
    author = {Fabian M. Suchanek and Gjergji Kasneci and Gerhard Weikum},
    title = {Yago: A Core of Semantic Knowledge},
    booktitle = {IN PROC. OF WWW ’07},
    year = {2007},
    pages = {697--706},
    publisher = {}
}

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Abstract

We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains roughly 900,000 entities and 5,000,000 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 the unification of Wikipedia and 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

Keyphrases

semantic knowledge fact correctness major step is-a hierarchy logically clean model knowledge base heuristic method high coverage non-taxonomic relation semantic relationship extensible ontology empirical evaluation state-of-the-art information

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