GeoTxt: A web API to leverage place references in text

Morteza Karimzadeh, Wenyi Huang, Siddhartha Banerjee, Jan Oliver Wallgrün, Frank Hardisty, Scott Pezanowski, Prasenjit Mitra, Alan M. MacEachren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

Associating place name mentions in unstructured text with their actual references in geographic space is vital to enable spatial queries and analysis. In this paper, we introduce GeoTxt, a web API plus human-usable web tool designed and implemented to tackle three components of place-reference processing from text, namely: extraction, disambiguation, and geolocation of place names mentioned in unstructured text. Current GeoTxt development is focused particularly on support for processing short microblog posts.

Original languageEnglish
Title of host publicationProceedings of the 7th Workshop on Geographic Information Retrieval, GIR 2013
PublisherAssociation for Computing Machinery
Pages72-73
Number of pages2
ISBN (Print)9781450322416
DOIs
Publication statusPublished - 1 Jan 2013
Event7th Workshop on Geographic Information Retrieval, GIR 2013 - Orlando, FL, United States
Duration: 5 Nov 20135 Nov 2013

Publication series

NameProceedings of the 7th Workshop on Geographic Information Retrieval, GIR 2013

Conference

Conference7th Workshop on Geographic Information Retrieval, GIR 2013
CountryUnited States
CityOrlando, FL
Period5/11/135/11/13

Keywords

  • Geocoding
  • Geographic information retrieval
  • Geographic information systems
  • Natural language processing

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

    Karimzadeh, M., Huang, W., Banerjee, S., Wallgrün, J. O., Hardisty, F., Pezanowski, S., Mitra, P., & MacEachren, A. M. (2013). GeoTxt: A web API to leverage place references in text. In Proceedings of the 7th Workshop on Geographic Information Retrieval, GIR 2013 (pp. 72-73). (Proceedings of the 7th Workshop on Geographic Information Retrieval, GIR 2013). Association for Computing Machinery. https://doi.org/10.1145/2533888.2533942