YAGO2 is a huge semantic knowledge base, derived from Wikipedia, WordNet and GeoNames. Currently, YAGO2 has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 80 million facts about these entities.

In YAGO2, we made an effort to treat time and location data as first-class citizen, extending the basic triple model by special fields for time and location for querying. Also, we took special care to consistently attach temporal and spatial data to all facts where it is semantically meaningful and where time and location can be derived from Wikipedia. Unlike many other automatically assembled knowledge bases, YAGO2 has a confirmed accuracy of 95%.