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Detecting geographic locations from web resources

Authors:

Wei-Ying MaAuthors Info & Claims

GIR '05: Proceedings of the 2005 workshop on Geographic information retrieval

Pages 17 - 24

https://doi.org/10.1145/1096985.1096991

Published: 04 November 2005 Publication History

Abstract

The rapid pervasion of the web into users' daily lives has put much importance on capturing location-specific information on the web, due to the fact that most human activities occur locally around where a user is located. This is especially true in the increasingly popular mobile and local search environments. Thus, how to correctly and effectively detect geographic locations from web resources has become a key challenge to location-based web applications. In our previous work, we proposed to explicitly distinguish three types of locations for web resources, namely provider location, content location and serving location. Provider location is the physical location of the provider who owns the web resource; content location is the geographic location described in the web content; while serving location is the geographic scope that a web resource can reach. In this paper, we present a system that comprehensively employs a set of algorithms and different geographic sources by extracting geographic information from the web content, and mining hyperlink structures as well as user logs. As the result, only relevant geographic sources, rather than all of possible ones are used in computation of each category of web location. Finally, experimental results on large samples of web data show that our solution outperforms previous approaches.

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Cited By

Bordogna GFugazza CTagliolato Acquaviva d’Aragona PCarrara P(2021)Implicit, Formal, and Powerful Semantics in GeoinformationISPRS International Journal of Geo-Information10.3390/ijgi1005033010:5(330)Online publication date: 13-May-2021
https://doi.org/10.3390/ijgi10050330
Radke MGautam NTambi ADeshpande USyed Z(2018)Geotagging Text Data on the Web—A Geometrical ApproachIEEE Access10.1109/ACCESS.2018.28438146(30086-30099)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2843814
Hu YKang CTang JYin DChang Y(2017)Large-Scale Location Prediction for Web PagesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2017.270263129:9(1902-1915)Online publication date: 1-Sep-2017
https://doi.org/10.1109/TKDE.2017.2702631
Show More Cited By

Index Terms

Detecting geographic locations from web resources
1. Information systems
  1. Information retrieval
  2. World Wide Web
    1. Web applications
    2. Web services

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Published In

cover image ACM Conferences

GIR '05: Proceedings of the 2005 workshop on Geographic information retrieval

November 2005

78 pages

ISBN:1595931651

DOI:10.1145/1096985

General Chairs:
Chris Jones
Cardiff University, UK
,
Ross Purves
Zurich University, Switzerland

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 04 November 2005

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CIKM05

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CIKM05: Conference on Information and Knowledge Management

November 4, 2005

Bremen, Germany

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Overall Acceptance Rate 46 of 61 submissions, 75%

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Cited By

Bordogna GFugazza CTagliolato Acquaviva d’Aragona PCarrara P(2021)Implicit, Formal, and Powerful Semantics in GeoinformationISPRS International Journal of Geo-Information10.3390/ijgi1005033010:5(330)Online publication date: 13-May-2021
https://doi.org/10.3390/ijgi10050330
Radke MGautam NTambi ADeshpande USyed Z(2018)Geotagging Text Data on the Web—A Geometrical ApproachIEEE Access10.1109/ACCESS.2018.28438146(30086-30099)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2843814
Hu YKang CTang JYin DChang Y(2017)Large-Scale Location Prediction for Web PagesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2017.270263129:9(1902-1915)Online publication date: 1-Sep-2017
https://doi.org/10.1109/TKDE.2017.2702631
Inkpen DLiu JFarzindar AKazemi FGhazi D(2017)Location detection and disambiguation from twitter messagesJournal of Intelligent Information Systems10.1007/s10844-017-0458-349:2(237-253)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s10844-017-0458-3
Rafiei JRafiei DMukhopadhyay SZhai CBertino ECrestani FMostafa JTang JSi LZhou XChang YLi YSondhi P(2016)Geotagging Named Entities in News and Online DocumentsProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983795(1321-1330)Online publication date: 24-Oct-2016
https://dl.acm.org/doi/10.1145/2983323.2983795
Moura TDavis CFonseca F(2016)Reference data enhancement for geographic information retrieval using linked dataTransactions in GIS10.1111/tgis.1223821:4(683-700)Online publication date: 2-Nov-2016
https://doi.org/10.1111/tgis.12238
Monteiro BDavis CFonseca F(2016)A survey on the geographic scope of textual documentsComputers & Geosciences10.1016/j.cageo.2016.07.01796:C(23-34)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.cageo.2016.07.017
Myers DMcGuffee J(2015)Choosing ScrapyJournal of Computing Sciences in Colleges10.5555/2831373.283138731:1(83-89)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.5555/2831373.2831387
De Meester BDe Nies TVerborgh RMannens EVan de Walle RGangemi ALeonardi SPanconesi A(2015)Reconnecting Digital Publications to the Web using their Spatial InformationProceedings of the 24th International Conference on World Wide Web10.1145/2740908.2741714(749-754)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2740908.2741714
Ji RGao YLiu WXie XTian QLi X(2015)When Location Meets Social MultimediaACM Transactions on Intelligent Systems and Technology10.1145/25971816:1(1-18)Online publication date: 26-Mar-2015
https://dl.acm.org/doi/10.1145/2597181
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