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%0 Conference Proceedings
%A Suchanek, Fabian M.; Kasneci, Gjergji & Weikum, Gerhard
%D 2007
%T YAGO: a core of semantic knowledge
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%B Proceedings of the 16th international conference on World Wide Web
%C New York, NY, USA
%I ACM
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%P 697--706
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%@ 978-1-59593-654-7
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%3 inproceedings
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%F suchanek2007semantic
%K yago, open, semantic, lod, data, linked, ontology, web, knowledge
%X 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 HASONEPRIZE). 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.
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%U http://doi.acm.org/10.1145/1242572.1242667
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