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

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-1AC8-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0025-C40B-9
Genre: Conference Paper
Latex : {YAGO2:} {A} Spatially and Temporally Enhanced Knowledge Base from {Wikipedia}: Extended Abstract

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http://ijcai.org/papers13/Papers/IJCAI13-478.pdf (Any fulltext)
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 Creators:
Hoffart, Johannes1, Author           
Suchanek, Fabian M.1, Author           
Berberich, Klaus1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 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.

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Language(s): eng - English
 Dates: 20132013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Hoffart2013ww
Other: Local-ID: 0F08380C815DF7A8C1257C6100731377-Hoffart2013ww
 Degree: -

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Title: 23rd International Joint Conference on Artificial Intelligence
Place of Event: Beijing, China
Start-/End Date: 2013-08-03 - 2013-08-09

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Title: 23rd International Joint Conference on Artificial Intelligence
  Abbreviation : IJCAI 2013
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Palo Alto, CA : AAAI
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3161 - 3165 Identifier: ISBN: 978-1-57735-633-2