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Evaluating field crisping methods for representing spatial prepositions
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Workshop On Geographic Information Retrieval archive
Proceeding of the 2nd international workshop on Geographic information retrieval table of contents
Napa Valley, California, USA
SESSION: Spatial language and GIR table of contents
Pages 9-10  
Year of Publication: 2008
ISBN:978-1-60558-253-5
Authors
Mark M. Hall  Cardiff University, Cardiff, United Kngdm
Christopher B. Jones  Cardiff University, Cardiff, United Kngdm
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 54,   Citation Count: 0
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ABSTRACT

There is a need for GIR systems to interpret the vague aspects of spatial language. Here we describe an initial approach towards evaluating crisp realisations of a field-based model of the use of the spatial preposition "near", based on evidence of usage of the term in image captions.


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.

 
1
M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. International Journal of Computer Vision, 1(4):321--331, 1988.
 
2
M. Worboys. Nearness relations in environmental space. International Journal of Geographic Information Science, 15(7):633--651, 2001.

INDEX TERMS

Primary Classification:
  J. Computer Applications
  J.2 PHYSICAL SCIENCES AND ENGINEERING
      Subjects: Earth and atmospheric sciences


General Terms:
Experimentation, Languages, Verification


Keywords:
active contours, evaluation, kernel density estimate, spatial language

Collaborative Colleagues:
Mark M. Hall: colleagues
Christopher B. Jones: colleagues

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