research-article

Geocoding for texts with fine-grain toponyms: an experiment on a geoparsed hiking descriptions corpus

Authors:

Ludovic Moncla,

Walter Renteria-Agualimpia,

Javier Nogueras-Iso,

Mauro GaioAuthors Info & Claims

SIGSPATIAL '14: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Pages 183 - 192

https://doi.org/10.1145/2666310.2666386

Published: 04 November 2014 Publication History

Abstract

Geoparsing and geocoding are two essential middleware services to facilitate final user applications such as location-aware searching or different types of location-based services. The objective of this work is to propose a method for establishing a processing chain to support the geoparsing and geocoding of text documents describing events strongly linked with space and with a frequent use of fine-grain toponyms. The geoparsing part is a Natural Language Processing approach which combines the use of part of speech and syntactico-semantic combined patterns (cascade of transducers). However, the real novelty of this work lies in the geocoding method. The geocoding algorithm is unsupervised and takes profit of clustering techniques to provide a solution for disambiguating the toponyms found in gazetteers, and at the same time estimating the spatial footprint of those other fine-grain toponyms not found in gazetteers. The feasibility of the proposal has been tested with a corpus of hiking descriptions in French, Spanish and Italian.

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Cited By

Berragan CSingleton ACalafiore AMorley J(2024)Mapping cognitive place associations within the United Kingdom through online discussion on RedditTransactions of the Institute of British Geographers10.1111/tran.1266949:3Online publication date: 8-Jan-2024
https://doi.org/10.1111/tran.12669
Leppämäki TToivonen THiippala T(2024)Geographical and linguistic perspectives on developing geoparsers with generic resourcesInternational Journal of Geographical Information Science10.1080/13658816.2024.236953938:10(2039-2060)Online publication date: 30-Jun-2024
https://doi.org/10.1080/13658816.2024.2369539
Sharma PSamal ASoh LJoshi D(2023)A Spatially-Aware Data-Driven Approach to Automatically Geocoding Non-Gazetteer Place NamesACM Transactions on Spatial Algorithms and Systems10.1145/362798710:1(1-34)Online publication date: 11-Dec-2023
https://dl.acm.org/doi/10.1145/3627987
Show More Cited By

Index Terms

Geocoding for texts with fine-grain toponyms: an experiment on a geoparsed hiking descriptions corpus
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Content analysis and feature selection
    2. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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cover image ACM Conferences

SIGSPATIAL '14: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2014

651 pages

ISBN:9781450331319

DOI:10.1145/2666310

General Chairs:
Yan Huang
University of North Texas
,
Markus Schneider
University of Florida
,
Program Chairs:
Michael Gertz
Heidelberg University, Germany
,
John Krumm
Microsoft Research
,
Jagan Sankaranarayanan
NEC Labs

Copyright © 2014 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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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Published: 04 November 2014

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SIGSPATIAL

SIGSPATIAL '14: 22nd SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 4 - 7, 2014

Texas, Dallas

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SIGSPATIAL '14 Paper Acceptance Rate 39 of 184 submissions, 21%;

Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

Berragan CSingleton ACalafiore AMorley J(2024)Mapping cognitive place associations within the United Kingdom through online discussion on RedditTransactions of the Institute of British Geographers10.1111/tran.1266949:3Online publication date: 8-Jan-2024
https://doi.org/10.1111/tran.12669
Leppämäki TToivonen THiippala T(2024)Geographical and linguistic perspectives on developing geoparsers with generic resourcesInternational Journal of Geographical Information Science10.1080/13658816.2024.236953938:10(2039-2060)Online publication date: 30-Jun-2024
https://doi.org/10.1080/13658816.2024.2369539
Sharma PSamal ASoh LJoshi D(2023)A Spatially-Aware Data-Driven Approach to Automatically Geocoding Non-Gazetteer Place NamesACM Transactions on Spatial Algorithms and Systems10.1145/362798710:1(1-34)Online publication date: 11-Dec-2023
https://dl.acm.org/doi/10.1145/3627987
Hu XZhou ZLi HHu YGu FKersten JFan HKlan F(2023)Location Reference Recognition from Texts: A Survey and ComparisonACM Computing Surveys10.1145/362581956:5(1-37)Online publication date: 27-Nov-2023
https://dl.acm.org/doi/10.1145/3625819
Berragan CSingleton ACalafiore AMorley J(2022)Transformer based named entity recognition for place name extraction from unstructured textInternational Journal of Geographical Information Science10.1080/13658816.2022.213312537:4(747-766)Online publication date: 17-Oct-2022
https://doi.org/10.1080/13658816.2022.2133125
Pezanowski SMitra PMacEachren A(2022)Exploring Descriptions of Movement Through Geovisual AnalyticsErforschung von Bewegungsbeschreibungen durch geovisuelle AnalytikKN - Journal of Cartography and Geographic Information10.1007/s42489-022-00098-372:1(5-27)Online publication date: 24-Feb-2022
https://doi.org/10.1007/s42489-022-00098-3
Fize JMoncla LMartins B(2021)Deep Learning for Toponym Resolution: Geocoding Based on Pairs of ToponymsISPRS International Journal of Geo-Information10.3390/ijgi1012081810:12(818)Online publication date: 2-Dec-2021
https://doi.org/10.3390/ijgi10120818
Aldana-Bobadilla EMolina-Villegas ALopez-Arevalo IReyes-Palacios SMuñiz-Sanchez VArreola-Trapala J(2020)Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured TextRemote Sensing10.3390/rs1218304112:18(3041)Online publication date: 17-Sep-2020
https://doi.org/10.3390/rs12183041
Kogkitsidou EGambette P(2020)Normalisation of 16th and 17th century texts in French and geographical named entity recognitionProceedings of the 4th ACM SIGSPATIAL Workshop on Geospatial Humanities10.1145/3423337.3429437(28-34)Online publication date: 3-Nov-2020
https://dl.acm.org/doi/10.1145/3423337.3429437
Vigier DMoncla LBrenon AMcDonough KJoliveau T(2020)Classification des entités nommées dans l’Encyclopédie ou dictionnaire raisonné des sciences des arts et des métiers par une société de gens de lettres (1751-1772)SHS Web of Conferences10.1051/shsconf/2020781100878(11008)Online publication date: 4-Sep-2020
https://doi.org/10.1051/shsconf/20207811008
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