%0 %0 Conference Proceedings %A Suchanek, Fabian M.; Kasneci, Gjergji & Weikum, Gerhard %D 2007 %T YAGO: a core of semantic knowledge %E %B Proceedings of the 16th international conference on World Wide Web %C New York, NY, USA %I ACM %V %6 %N %P 697--706 %& %Y %S %7 %8 %9 %? %! %Z %@ 978-1-59593-654-7 %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %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. %Z %U http://doi.acm.org/10.1145/1242572.1242667 %+ %^