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

MPS-Authors
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Hoffart,  Johannes
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Suchanek,  Fabian M.
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Berberich,  Klaus
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Lewis-Kelham,  Edwin
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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de Melo,  Gerard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Hoffart, J., Suchanek, F. M., Berberich, K., Lewis-Kelham, E., de Melo, G., & Weikum, G. (2011). YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and Many Languages. In S. Srinivasan, K. Ramamritham, A. Kumar, M. P. Ravindra, E. Bertino, & R. Kumar (Eds.), Proceedings of the 20th International Conference Companion on World Wide Web (pp. 229-232). New York, NY: ACM. doi:10.1145/1963192.1963296.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-14DB-B
Abstract
We present YAGO2, an extension of the YAGO knowledge base with focus on temporal and spatial knowledge. It is automatically built from Wikipedia, GeoNames, and WordNet, and contains nearly 10 million entities and events, as well as 80 million facts representing general world knowledge. 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.