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Towards contextualized models of spatial relations

Published: 26 November 2015 Publication History

Abstract

We argue that Geographic Information Retrieval has a lot to gain from the creation of contextualized models of spatial relations that capture how human usage of spatial relational expressions is affected by contextual factors. We propose a framework to develop such models and discuss challenges.

References

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K. R. Coventry and S. Garrod. Saying, Seeing, and Acting: The Psychological Semantics of Spatial Prepositions. Psychology Press, Hove, 2004.
[2]
C. Derungs and R. Purves. Where's near? Using web n-grams to explore spatial relations. In GIScience 2014-Extended abstracts, 2014.
[3]
M. Gahegan. Proximity operators for qualitative spatial reasoning. In A. U. Frank and W. Kuhn, editors, Spatial Information Theory, pages 31--44. 1995.
[4]
M. M. Hall and C. B. Jones. Cultural and language influences on the interpretation of spatial prepositions. In Proceedings of the GI Forum 2012, 2012.
[5]
G. Skoumas, D. Pfoser, and T. K. Anastasios. On quantifying qualitative geospatial data: a probabilistic approach. In Proceedings of the 2nd GEOGROWD Workshop, pages 71--78, 2013.

Cited By

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  • (2019)GeoAnnotator: A Collaborative Semi-Automatic Platform for Constructing Geo-Annotated Text CorporaISPRS International Journal of Geo-Information10.3390/ijgi80401618:4(161)Online publication date: 27-Mar-2019
  • (2017)Spatial Information Extraction from Natural language Place Description for Incorporating Contextual VariablesProceedings of the 11th Workshop on Geographic Information Retrieval10.1145/3155902.3155910(1-2)Online publication date: 30-Nov-2017

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Published In

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GIR '15: Proceedings of the 9th Workshop on Geographic Information Retrieval
November 2015
90 pages
ISBN:9781450339377
DOI:10.1145/2837689
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 the author(s) 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].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 November 2015

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Author Tags

  1. geographic information retrieval
  2. relations
  3. spatial language

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  • Short-paper

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GIR '15

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Overall Acceptance Rate 46 of 61 submissions, 75%

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Cited By

View all
  • (2019)GeoAnnotator: A Collaborative Semi-Automatic Platform for Constructing Geo-Annotated Text CorporaISPRS International Journal of Geo-Information10.3390/ijgi80401618:4(161)Online publication date: 27-Mar-2019
  • (2017)Spatial Information Extraction from Natural language Place Description for Incorporating Contextual VariablesProceedings of the 11th Workshop on Geographic Information Retrieval10.1145/3155902.3155910(1-2)Online publication date: 30-Nov-2017

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