YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames

  • Thomas Rebele
  • Fabian Suchanek
  • Johannes Hoffart
  • Joanna Biega
  • Erdal Kuzey
  • Gerhard Weikum
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9982)

Abstract

YAGO is a large knowledge base that is built automatically from Wikipedia, WordNet and GeoNames. The project combines information from Wikipedias in 10 different languages into a coherent whole, thus giving the knowledge a multilingual dimension. It also attaches spatial and temporal information to many facts, and thus allows the user to query the data over space and time. YAGO focuses on extraction quality and achieves a manually evaluated precision of 95 %. In this paper, we explain how YAGO is built from its sources, how its quality is evaluated, how a user can access it, and how other projects utilize it.

Keywords

Knowledge base Wikipedia WordNet Geonames 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Thomas Rebele
    • 1
  • Fabian Suchanek
    • 1
  • Johannes Hoffart
    • 2
  • Joanna Biega
    • 2
  • Erdal Kuzey
    • 2
  • Gerhard Weikum
    • 2
  1. 1.Télécom ParisTechParisFrance
  2. 2.Max Planck Institute for InformaticsSaarbrückenGermany

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