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要旨:
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.
