Yago: a core of semantic knowledge

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 hasWonPrize). 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 s...

• Type: Conference
• Year: 2007
• Where: WWW
• Authors: Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum
• Keywords: Internet Technology, Ontologies Keywords Wikipedia, State-of-the-art Information Extraction, Terms Knowledge Extraction, WWW 2007