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Yago : a large ontology from Wikipedia and WordNet

Suchanek, Fabian M. and Kasneci, Gjergji and Weikum, Gerhard

MPI-I-2007-5-003. December 2007, 67 pages. | Status: available - back from printing | Next --> Entry | Previous <-- Entry

Abstract in LaTeX format:
This article presents YAGO, a large ontology with high coverage and precision.
YAGO has been automatically derived from Wikipedia and WordNet. It
comprises entities and relations, and currently contains more than 1.7
entities and 15 million facts. These include the taxonomic Is-A
hierarchy as well as semantic relations between entities. The facts
for YAGO have been extracted from the category system and the
infoboxes of Wikipedia and have been combined with taxonomic relations
from WordNet. Type checking techniques help us keep YAGO's precision
at 95% -- as proven by an extensive evaluation study. YAGO is based on
a clean logical model with a decidable consistency.
Furthermore, it allows representing n-ary relations in a natural way
while maintaining compatibility with RDFS. A powerful query model
facilitates access to YAGO's data.
References to related material:

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  AUTHOR = {Suchanek, Fabian M. and Kasneci, Gjergji and Weikum, Gerhard},
  TITLE = {Yago : a large ontology from Wikipedia and WordNet},
  TYPE = {Research Report},
  INSTITUTION = {Max-Planck-Institut f{\"u}r Informatik},
  ADDRESS = {Stuhlsatzenhausweg 85, 66123 Saarbr{\"u}cken, Germany},
  NUMBER = {MPI-I-2007-5-003},
  MONTH = {December},
  YEAR = {2007},
  ISSN = {0946-011X},