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 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.

References in zbMATH (referenced in 15 articles )

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  1. Ciobanu, Gabriel; Horne, Ross; Sassone, Vladimiro: A descriptive type foundation for RDF schema (2016)
  2. Kacfah Emani, Cheikh; Cullot, Nadine; Nicolle, Christophe: Understandable big data: a survey (2015)
  3. Wang, William Yang; Mazaitis, Kathryn; Lao, Ni; Cohen, William W.: Efficient inference and learning in a large knowledge base. Reasoning with extracted information using a locally groundable first-order probabilistic logic (2015)
  4. Galbrun, Esther; Kimmig, Angelika: Finding relational redescriptions (2014)
  5. Hoffart, Johannes; Suchanek, Fabian M.; Berberich, Klaus; Weikum, Gerhard: YAGO2: a spatially and temporally enhanced knowledge base from Wikipedia (2013)
  6. Zang, Liang-Jun; Cao, Cong; Cao, Ya-Nan; Wu, Yu-Ming; Cao, Cun-Gen: A survey of commonsense knowledge acquisition (2013)
  7. d’Amato, Claudia; Fanizzi, Nicola; Fazzinga, Bettina; Gottlob, Georg; Lukasiewicz, Thomas: Ontology-based semantic search on the web and its combination with the power of inductive reasoning (2012)
  8. Fietzke, Arnaud; Weidenbach, Christoph: Superposition as a decision procedure for timed automata (2012)
  9. Kruglov, Evgeny; Weidenbach, Christoph: Superposition decides the first-order logic fragment over ground theories (2012)
  10. Ranise, Silvio: On the verification of security-aware E-services (2012)
  11. Suda, Martin; Weidenbach, Christoph; Wischnewski, Patrick: On the saturation of YAGO (2010)
  12. Torisawa, Kentaro; De Saeger, Stijn; Kazama, Jun’ichi; Sumida, Asuka; Noguchi, Daisuke; Kakizawa, Yasunori; Murata, Masaki; Kuroda, Kow; Yamada, Ichiro: Organizing the Web’s information explosion to discover unknown unknowns (2010)
  13. Han, Lixin; Chen, Guihai: A fuzzy clustering method of construction of ontology-based user profiles (2009)
  14. Sutcliffe, Geoff: The TPTP problem library and associated infrastructure and associated infrastructure. The FOF and CNF parts, v3.5.0 (2009)
  15. Theobald, Martin; Bast, Holger; Majumdar, Debapriyo; Schenkel, Ralf; Weikum, Gerhard: Topx: Efficient and versatile top-$k$ query processing for semistructured data (2008)