research-article

Mining the web to detect place names

Authors:

Florian A. Twaroch,

Philip D. Smart,

Christopher B. JonesAuthors Info & Claims

GIR '08: Proceedings of the 5th Workshop on Geographic Information Retrieval

Pages 43 - 44

https://doi.org/10.1145/1460007.1460017

Published: 29 October 2008 Publication History

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Abstract

With the aim to improve the quality of gazetteers for geographic information retrieval systems, we present a method to detect place names employed by people submitting information to Web resources. We investigate how often people refer to a place using locative phrases in web queries and address the problem of defining cognitively significant place names. We propose Web mining as a means to decide whether a given particular named entity is in fact a place.

References

[1]

Maynard D., Bontcheva K. & H. Cunningham. Automatic Language-Independent Induction of Gazetteer Lists, LREC 2004, http://gate.ac.uk/sale/lrec2004/gazcollector.pdf

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[2]

Popescu, A.: Greffenstette G., Moellic P.: Gazetiki: Automatic Creation of a Geographical Gazetteer, JCDL 2008

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[3]

Purves, R., P. Clough, and H. Joho. Identifying imprecise regions for geographic information retrieval using the Web. GISRUK2005.

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[4]

Tezuka, T.; Yokota, Y.; Iwaihara, M. & Tanaka, K. Extraction of Cognitivley-Significant Place Names and Regions from Web-based Physical Proximity Co-occurences, WISE 2004, LNCS 3306, Springer, 113--124

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Cited By

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Zhang JLiu XLiao WLi X(2022)Deep-learning generation of POI data with scene imagesISPRS Journal of Photogrammetry and Remote Sensing10.1016/j.isprsjprs.2022.04.004188(201-219)Online publication date: Jun-2022
https://doi.org/10.1016/j.isprsjprs.2022.04.004
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
Fox ELeidig J(2014)Digital Libraries Applications: CBIR, Education, Social Networks, eScience/Simulation, and GISSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S00565ED1V01Y201401ICR0326:1(1-175)Online publication date: 28-Mar-2014
https://doi.org/10.2200/S00565ED1V01Y201401ICR032
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Index Terms

Mining the web to detect place names
1. Information systems
  1. Information retrieval

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Published In

GIR '08: Proceedings of the 5th Workshop on Geographic Information Retrieval

October 2008

68 pages

ISBN:9781605582535

DOI:10.1145/1460007

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

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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Association for Computing Machinery

New York, NY, United States

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Published: 29 October 2008

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CIKM08

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CIKM08: Conference on Information and Knowledge Management

October 29 - 30, 2008

California, Napa Valley, USA

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Overall Acceptance Rate 46 of 61 submissions, 75%

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Zhang JLiu XLiao WLi X(2022)Deep-learning generation of POI data with scene imagesISPRS Journal of Photogrammetry and Remote Sensing10.1016/j.isprsjprs.2022.04.004188(201-219)Online publication date: Jun-2022
https://doi.org/10.1016/j.isprsjprs.2022.04.004
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
Fox ELeidig J(2014)Digital Libraries Applications: CBIR, Education, Social Networks, eScience/Simulation, and GISSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S00565ED1V01Y201401ICR0326:1(1-175)Online publication date: 28-Mar-2014
https://doi.org/10.2200/S00565ED1V01Y201401ICR032
Laere OSchockaert STanasescu VDhoedt BJones C(2014)Georeferencing Wikipedia Documents Using Data from Social Media SourcesACM Transactions on Information Systems10.1145/262968532:3(1-32)Online publication date: 8-Jul-2014
https://dl.acm.org/doi/10.1145/2629685
Venkateswaran RWeibel RPurves R(2014)Exploring and Visualizing Differences in Geographic and Linguistic Web CoverageTransactions in GIS10.1111/tgis.1207118:6(852-876)Online publication date: 27-Jan-2014
https://doi.org/10.1111/tgis.12071
Vasardani MWinter SRichter K(2013)Locating place names from place descriptionsInternational Journal of Geographical Information Science10.1080/13658816.2013.78555027:12(2509-2532)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1080/13658816.2013.785550
Ribeiro SDavis COliveira DMeira WGonçalves TPappa GGhinita GNeville JNewsam S(2012)Traffic observatoryProceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks10.1145/2442796.2442800(5-11)Online publication date: 6-Nov-2012
https://dl.acm.org/doi/10.1145/2442796.2442800
Davis Jr. CPappa Gde Oliveira Dde L. Arcanjo F(2011)Inferring the Location of Twitter Messages Based on User RelationshipsTransactions in GIS10.1111/j.1467-9671.2011.01297.x15:6(735-751)Online publication date: 22-Nov-2011
https://doi.org/10.1111/j.1467-9671.2011.01297.x

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AUTOMATIC ANNOTATION OF AMBIGUOUS PERSONAL NAMES ON THE WEB

On assigning place names to geography related web pages

A web platform for the evaluation of vernacular place names in automatically constructed gazetteers

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