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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
2 LEO - Distributed and heterogeneous data and knowledge
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : 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.
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https://hal.inria.fr/inria-00591780
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Submitted on : Tuesday, May 10, 2011 - 2:39:56 PM
Last modification on : Wednesday, October 14, 2020 - 3:41:50 AM
Long-term archiving on: : Saturday, December 3, 2016 - 6:16:56 AM

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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⟩

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