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Vague relations in spatial databases
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2010 (English)In: Natural language processing and information systems: 15th international conference on applications of natural language to information systems, NLDB 2010 / [ed] Christina J. Hopfe, Yacine Rezgui, Elisabeth Métais, Alun Preece and Haijiang Li, 2010, 177-187 p.Conference paper, Published paper (Refereed)
Abstract [en]

While qualitative relatins (e.g RCC8 relations) can readily be derived from spatial databases, a more difficult matter is the representation of vague spatial realtions such as "near-to", "next-to", "between", etc. After surveying earlier approaches, this paper propose a method that is tractable, learnable and directly suitable for use in natural language interfaces to spatial databases. The approach is based on definite logic programs with contexts represented as first class objects and supervaluation over a set of threshold parameters, a polynomial-time algorithm finds a setting of threshold parameters that are consistent with a training corpus of vague descriptions of scenes. The results of this algorithm may then be compiled into view definitions which are accessed in real-time by natural language interfaces employing normal, non-exotic query answering mechanisms.

Place, publisher, year, edition, pages
2010. 177-187 p.
Series
Lecture notes in computer science, ISSN 0302-9743 ; 6177
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-35146DOI: 10.1007/978-3-642-13881-2OAI: oai:DiVA.org:umu-35146DiVA: diva2:331783
Conference
NLDB - International conference on applications of natural language to information systems
Available from: 2010-07-26 Created: 2010-07-26 Last updated: 2010-08-20Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf