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  Yago - a core of semantic knowledge

Kasneci, G., Suchanek, F., & Weikum, G.(2006). Yago - a core of semantic knowledge (MPI-I-2006-5-006). Saarbrücken: Max-Planck-Institut für Informatik.

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MPI-I-2006-5-006.pdf (beliebiger Volltext), 252KB
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Kasneci, Gjergji1, Autor           
Suchanek, Fabian1, Autor           
Weikum, Gerhard1, Autor           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Zusammenfassung: We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains roughly 900,000 entities and 5,000,000 facts. This includes the Is-A hierarchy as well as non-taxonomic relations between entities (such as relation{hasWonPrize}). The facts have been automatically extracted from the unification of Wikipedia and 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.

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Sprache(n): eng - English
 Datum: 2006
 Publikationsstatus: Erschienen
 Seiten: 39 p.
 Ort, Verlag, Ausgabe: Saarbrücken : Max-Planck-Institut für Informatik
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 Identifikatoren: URI: http://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/2006-5-006
Reportnr.: MPI-I-2006-5-006
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Titel: Research Report / Max-Planck-Institut für Informatik
Genre der Quelle: Reihe
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