%0 Conference Paper
%1 suchanek2007semantic
%A Suchanek, Fabian M.
%A Kasneci, Gjergji
%A Weikum, Gerhard
%B Proceedings of the 16th international conference on World Wide Web
%C New York, NY, USA
%D 2007
%I ACM
%K data knowledge linked lod ontology open semantic web yago
%P 697--706
%T YAGO: a core of semantic knowledge
%U http://doi.acm.org/10.1145/1242572.1242667
%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 <i>quality</i> by adding knowledge about individuals like persons, organizations, products, etc. with their semantic relationships - and in <i>quantity</i> 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.