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キーワード:
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要旨:
We present YAGO2, an extension of the YAGO knowledge base, in which entities,
facts, and events are anchored in both time and space. YAGO2 is built
automatically from Wikipedia, GeoNames, and WordNet. It contains 80 million
facts about 9.8 million entities. Human evaluation confirmed an accuracy of
95\% of the facts in YAGO2. In this paper, we present the extraction
methodology, the integration of the spatio-temporal dimension, and our
knowledge representation SPOTL, an extension of the original SPO-triple model
to time and space.
