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YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia

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Overview

YAGO2 is a huge semantic knowledge base, derived from Wikipedia, WordNet and GeoNames. Currently, YAGO2 has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities.

YAGO2 is special in several ways:

  1. The accuracy of YAGO2 has been manually evaluated, proving a confirmed accuracy of 95%. Every relation is annotated with its confidence value.
  2. YAGO2 is an ontology that is anchored in time and space. YAGO2 attaches a temporal dimension and a spacial dimension to many of its facts and entities.
  3. YAGO2 is particularly suited for disambiguation purposes, as it contains a large number of names for entities. It also knows the gender of people.

News

  • [Mar 23, 2012]
    Our journal article on YAGO2 got accepted for the special issue of the AI journal.
  • [Jan 12, 2012]
    New YAGO2 relase, adding new relations (e.g. hasGender) among lots of other additions and fixes. View the detailed release notes.
  • [Nov 20, 2011]
    OpenLink is hosting YAGO2 (see here for examples)
  • [Aug 1, 2011]
    New domain: yago-knowledge.org
  • [Apr 28, 2011]
    Best Demo Award at WWW 2011

Publications

All Publications ...

Downloads

  • YAGO2 Knowledge Base
  • Database Importers
  • Utilities for de-/enconding
Download YAGO2

Browse

Browse through the YAGO2 knowledge base.

Query

Ask queries on YAGO2 using SPOTLX patterns. View the results on a map and timeline.

For example: Politicians who are also scientists, born nearby Hamburg, after the year 1900

Further Information

YAGO2 is part of the YAGO-NAGA project at the Max Planck Institute for Informatics in Saarbrücken/Germany. It is maintained jointly by the Databases and Information Systems Group and the Ontologies Group.

Please find more information about YAGO in the tabs above. If you have any questions about the project, please send a mail to NameOfTheOntology@mpi-inf.mpg.de.

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