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Acquisition of a vernacular gazetteer from web sources
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Source
ACM International Conference Proceeding Series; Vol. 300 archive
Proceedings of the first international workshop on Location and the web table of contents
Beijing, China
Pages 61-64  
Year of Publication: 2008
ISBN:978-1-60558-160-6
Authors
Florian A. Twaroch  Cardiff University, Cardiff, UK
Christopher B. Jones  Cardiff University, Cardiff, UK
Alia I. Abdelmoty  Cardiff University, Cardiff, UK
Publisher
ACM  New York, NY, USA
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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

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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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.
 
3
Jones, C. B., et al., Modelling Vague Places with Knowledge from the Web, in International Journal of Geographic Information Systems.
 
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.
 
5
O' Sullivan David and Unwin, D. J., Geographic Information Analysis. 2002: Wiley.
6
 
7
Rosch, E., Cognition and Categorization, E. L. B. B. Rosch, Editor. 1978, Lawrence Erlbaum Publishers. p. 27--48.
 
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.
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Silverman, B. W., Density estimation: for statistics and data analysis, ed. Chapman and Hall. 1986, London.
 
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.
 
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Zelinsky, W., North America's vernacular regions, in Annals of the Association of American Geographers. 1980. p. 1--16.


Collaborative Colleagues:
Florian A. Twaroch: colleagues
Christopher B. Jones: colleagues
Alia I. Abdelmoty: colleagues