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Abstract:
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
million
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.
