skip to main content
10.1145/1367798.1367808acmotherconferencesArticle/Chapter ViewAbstractPublication PageslocwebConference Proceedingsconference-collections
research-article

Acquisition of a vernacular gazetteer from web sources

Published:22 April 2008Publication History

ABSTRACT

Vernacular place names are names that are commonly in use to refer to geographical places. For purposes of effective information retrieval, the spatial extent associated with these names should be able to reflect people's perception of the place, even though this may differ sometimes from the administrative definition of the same place name. Due to their informal nature, vernacular place names are hard to capture, but methods to acquire and define vernacular place names are of great benefit to search engines and all kind of information services that deal with geographic data. This paper discusses the acquisition of vernacular use of place names from web sources and their representation as surface models derived by kernel density estimators.

References

  1. Brunsdon, C., Estimating probability surfaces for geographical point data: an adaptive kernel algorithm, in Computers & Geosciences. 1995, Pergamon Press, Inc. p. 877--894. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Evans, A. J. and T. Waters, Mapping Vernacular Geography: Web-based GIS Tools for Capturing 'Fuzzy' or 'Vague' Entities, in International Journal of Technology, Policy and Management. 2007. p. 134--150.Google ScholarGoogle Scholar
  3. Jones, C. B., et al., Modelling Vague Places with Knowledge from the Web, in International Journal of Geographic Information Systems.Google ScholarGoogle Scholar
  4. Montello, D. R., et al., Where's downtown?: Behavioral methods for determining referents of vague spatial queries, in Spatial Cognition and Computation. 2003. p. 185--204.Google ScholarGoogle Scholar
  5. O' Sullivan David and Unwin, D. J., Geographic Information Analysis. 2002: Wiley.Google ScholarGoogle Scholar
  6. Pasley, R., P. Clough, and M. Sanderson, Geo-Tagging for Imprecise Regions of Different Sizes, in Proceedings of Workshop on Geographic Information Retrieval GIR'07. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Rosch, E., Cognition and Categorization, E. L. B. B. Rosch, Editor. 1978, Lawrence Erlbaum Publishers. p. 27--48.Google ScholarGoogle Scholar
  8. Schockaert, S., M. D. Cock, and E. E. Kerre, Automatic Acquisition of Fuzzy Footprints, in OTM 2005 Workshops (SeBGIS 2005). 2005. p. 1077--1086. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Schockaert, S. and M. D. Cock, Neighborhood restrictions in geographic IR, in SIGIR '07. 2007, ACM Press: New York, NY, USA. p. 167--174. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Silverman, B. W., Density estimation: for statistics and data analysis, ed. Chapman and Hall. 1986, London.Google ScholarGoogle Scholar
  11. Thurstain-Goodwin, M. and D. Unwin, Defining and delineating the central areas of towns for statistical monitoring using continuous surface representations, in Transactions in GIS. 2000. p. 305--317.Google ScholarGoogle Scholar
  12. Zelinsky, W., North America's vernacular regions, in Annals of the Association of American Geographers. 1980. p. 1--16.Google ScholarGoogle Scholar

Index Terms

  1. Acquisition of a vernacular gazetteer from web sources

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      LOCWEB '08: Proceedings of the first international workshop on Location and the web
      April 2008
      192 pages
      ISBN:9781605581606
      DOI:10.1145/1367798

      Copyright © 2008 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]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 April 2008

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate4of5submissions,80%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader