Proceedings Abstracts of the Twenty-Third International Joint Conference on Artificial Intelligence

YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia (Extended Abstract) / 3161
Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Gerhard Weikum

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.