Deriving Geolocations in Wikipedia

Amir Krause; Sara Cohen

doi:10.1145/3340531.3417459

Deriving Geolocations in Wikipedia

Amir Krause
, Sara Cohen

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

We study the problem of deriving geolocations for Wikipedia pages. To this end, we introduce a general four-step process to location derivation, and consider different instantiations of this process, leveraging both textual and categorical data. Extensive experimentation shows that our methods provide good precision-recall trade-offs and improvements over text-only methods. Hence, our system can be used to augment the geographic information of Wikipedia, and to enable more effective geographic information retrieval.

Original language	English
Title of host publication	CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management
Publisher	Association for Computing Machinery
Pages	3293-3296
Number of pages	4
ISBN (Electronic)	9781450368599
DOIs	https://doi.org/10.1145/3340531.3417459
State	Published - 19 Oct 2020
Event	29th ACM International Conference on Information and Knowledge Management, CIKM 2020 - Virtual, Online, Ireland Duration: 19 Oct 2020 → 23 Oct 2020

Publication series

Name	International Conference on Information and Knowledge Management, Proceedings

Conference

Conference	29th ACM International Conference on Information and Knowledge Management, CIKM 2020
Country/Territory	Ireland
City	Virtual, Online
Period	19/10/20 → 23/10/20

Bibliographical note

Publisher Copyright:
© 2020 ACM.

Keywords

geographic information retrieval
geotagging
wikipedia

Access to Document

10.1145/3340531.3417459

Cite this

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title = "Deriving Geolocations in Wikipedia",

abstract = "We study the problem of deriving geolocations for Wikipedia pages. To this end, we introduce a general four-step process to location derivation, and consider different instantiations of this process, leveraging both textual and categorical data. Extensive experimentation shows that our methods provide good precision-recall trade-offs and improvements over text-only methods. Hence, our system can be used to augment the geographic information of Wikipedia, and to enable more effective geographic information retrieval.",

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Krause, A & Cohen, S 2020, Deriving Geolocations in Wikipedia. in CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery, pp. 3293-3296, 29th ACM International Conference on Information and Knowledge Management, CIKM 2020, Virtual, Online, Ireland, 19/10/20. https://doi.org/10.1145/3340531.3417459

Deriving Geolocations in Wikipedia. / Krause, Amir; Cohen, Sara.
CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, 2020. p. 3293-3296 (International Conference on Information and Knowledge Management, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - geographic information retrieval

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Deriving Geolocations in Wikipedia

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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