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  • × author_ss:"Kasneci, G."
  • × theme_ss:"Semantic Web"
  1. Suchanek, F.M.; Kasneci, G.; Weikum, G.: YAGO: a large ontology from Wikipedia and WordNet (2008) 0.01 
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    Source
    Web semantics: science, services and agents on the World Wide Web. 6(2008) no.3, S.203-217
    Theme
    Semantic Web
  2. Suchanek, F.M.; Kasneci, G.; Weikum, G.: YAGO: a core of semantic knowledge unifying WordNet and Wikipedia (2007) 0.00 
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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 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 state-of-the-art information extraction techniques.
    Theme
    Semantic Web

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