YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia

Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Gerhard Weikum
2013 Artificial Intelligence  
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.
doi:10.1016/j.artint.2012.06.001 fatcat:qkjhd5gehjbr5dfmj7gsi7twre