TY - GEN
T1 - YAGO2
T2 - 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013
AU - Hoffart, Johannes
AU - Suchanek, Fabian M.
AU - Berberich, Klaus
AU - Weikum, Gerhard
PY - 2013/12/1
Y1 - 2013/12/1
N2 - 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 and the integration of the spatio-temporal dimension.
AB - 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 and the integration of the spatio-temporal dimension.
UR - https://www.scopus.com/pages/publications/84896062289
M3 - Conference contribution
AN - SCOPUS:84896062289
SN - 9781577356332
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 3161
EP - 3165
BT - IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence
Y2 - 3 August 2013 through 9 August 2013
ER -