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YAGO is a huge semantic knowledge base. Currently, YAGO knows more than 2 million entities (like persons, organizations, cities, etc.). It knows 20 million facts about these entities. Unlike many other automatically assembled knowledge bases, YAGO has a manually confirmed accuracy of 95%. YAGO is part of the YAGO-NAGA project at the Max-Planck Institute for Informatics in Saarbrücken/Germany.

YAGO (Yet Another Great Ontology) is a huge semantic knowledge base. Currently, YAGO knows over two million entities such as persons, organizations and cities and about twenty million facts about these entities. A web interface allows users to pose questions to YAGO in the form of queries on the YAGO homepage. YAGO is being developed at the Max Planck Institute for Computer Science ...

YAGO is a huge semantic knowledge base, derived from Wikipedia and WordNet. YAGO knows more than 2 million entities (e.g. persons, organizations, cities), and 20 million facts about these entities. Unlike many other automatically assembled knowledge bases, YAGO has a manually confirmed accuracy of 95%.

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 120 million facts about these entities.

"YAGO2s is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames. Currently, YAGO2s has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities."

The YAGO-NAGA project started in 2006 with the goal of building a conveniently searchable, large-scale, highly accurate knowledge base of common facts in a machine-processible representation.