YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: 
Extended Abstract

Hoffart, Johannes; Suchanek, Fabian M.; Berberich, Klaus; Weikum, Gerhard

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract

MPS-Authors

/persons/resource/persons44631

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

/persons/resource/persons45572

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

/persons/resource/persons44119

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

/persons/resource/persons45720

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

External Resource

http://ijcai.org/papers13/Papers/IJCAI13-478.pdf
(Any fulltext)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Hoffart, J., Suchanek, F. M., Berberich, K., & Weikum, G. (2013). YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract. In 23rd International Joint Conference on Artificial Intelligence (pp. 3161-3165). Palo Alto, CA: AAAI.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0015-1AC8-9

Abstract

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 447 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 and the integration of the spatio-temporal dimension.