YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
Artificial intelligence, 2013•Elsevier
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 447 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 …
events are anchored in both time and space. YAGO2 is built automatically from Wikipedia,
GeoNames, and WordNet. It contains 447 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 …
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 447 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.
Elsevier
