YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and Many Languages

Johannes Hoffart (1) , Fabian Suchanek (2) , Klaus Berberich (1) , Edwin Lewis-Kelham (1) , Gerard de Melo (1) , Gerhard Weikum (1)

1 MPII - Max-Planck-Institut für Informatik
2 LEO - Distributed and heterogeneous data and knowledge

We present YAGO2, an extension of the YAGO knowledge base with a focus on temporal and spatial knowledge. It is automatically built from Wikipedia, GeoNames, and Word- Net, and contains nearly 10 million entities and events, as well as 80 million facts representing general world knowl- edge. An enhanced data representation introduces time and location as first-class citizens. The wealth of spatio-temporal information in YAGO can be explored either graphically or through a special time- and space-aware query language.

Domaines: Intelligence artificielle [cs.AI]

Johannes Hoffart, Fabian Suchanek, Klaus Berberich, Edwin Lewis-Kelham, Gerard de Melo, et al.. YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and Many Languages. WWW - Demos, 2011, Hyderabad, India. ⟨inria-00591780⟩