1,642
Views
59
CrossRef citations to date
0
Altmetric
Original Articles

Locating place names from place descriptions

, &
Pages 2509-2532 | Received 30 May 2012, Accepted 24 Feb 2013, Published online: 18 Apr 2013
 

Abstract

In this paper, we review the current literature on geographic information retrieval based on place names. We focus on the positional uncertainties and the extent of vagueness frequently associated with place names in linguistic place descriptions and on the differences between common users’ perception and the way the geographic information services interpret place names. We argue that, despite some notable efforts from the scientific community, geographic information services still cannot unambiguously recognize and sufficiently perform spatial reasoning with place names used in linguistic expressions. We focus on three interrelated research areas: (1) the use of place names in gazetteers, (2) the use of formal models to reason with spatial relations and with the spatial extent of place names in linguistic place descriptions, and (3) Web-harvesting and crowd-sourcing techniques for identifying place names and their spatial extension from public and volunteer sources, such as social networks and photo-sharing sites. We identify some opportunities for synthesizing existing approaches that would expedite the process of intelligent communication about place names between services and users. We discuss the shortcomings of the current state of affairs in locating place names from place descriptions and identify new areas of importance for future research.

Acknowledgments

We thank Matt Duckham, Lesley Stirling, and Lawrence Cavedon for the valuable feedback and comments on various drafts of this paper. This work was funded by the ARC under its Linkage Scheme (LP100200199 ‘Talking about Place’).

Notes

1. http://www.flickr.com

2. http://www.panoramio.com

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 704.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.