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YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44631

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45572

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44119

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45720

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

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Volltexte (frei zugänglich)

MPI-I-2010-5-007.pdf
(beliebiger Volltext), 356KB

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Zitation

Hoffart, J., Suchanek, F. M., Berberich, K., & Weikum, G.(2010). YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia (MPI-I-2010-5-007). Saarbrücken: Max-Planck-Institut für Informatik. Retrieved from http://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/2010-5-007.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-155B-A
Zusammenfassung
We present YAGO2, an extension of the YAGO knowledge base, in which entities, facts, and events are anchored in both time and space. YAGO2 is built automatically from Wikipedia, GeoNames, and WordNet. It contains 80 million facts about 9.8 million entities. Human evaluation confirmed an accuracy of 95\% of the facts in YAGO2. In this paper, we present the extraction methodology, the integration of the spatio-temporal dimension, and our knowledge representation SPOTL, an extension of the original SPO-triple model to time and space.