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A unifying model for representing and reasoning about context under uncertainty
Monash University, Melbourne, VIC.
2006 (English)In: Proceedings of the Eleventh International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems: IPMU 2006, Paris: Editions E.D.K. , 2006, p. 1983-1989Conference paper, Published paper (Refereed)
Abstract [en]

Modeling and reasoning about context under uncertainty is a major challenge in context-aware computing. This paper proposes a novel approach to represent context in a unifying way and to perform reasoning about context represented with that model, under uncertainty. We develop a novel reasoning approach based on Multi- Attribute Utility Theory as the means to integrate heuristics about the relative importance, inaccuracy and characteristics of sensory information. Our approach allows applying different reasoning approaches, and in this paper we qualitatively and quantitatively compare between our proposed reasoning approach and Dempster-Shafer sensor data fusion technique

Place, publisher, year, edition, pages
Paris: Editions E.D.K. , 2006. p. 1983-1989
Identifiers
URN: urn:nbn:se:ltu:diva-31138Local ID: 5370cf50-cf69-11dc-9ad7-000ea68e967bISBN: 284254112X (print)OAI: oai:DiVA.org:ltu-31138DiVA, id: diva2:1004368
Conference
International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems : 02/07/2006 - 07/07/2006
Note
Upprättat; 2006; 20080130 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-06-11Bibliographically approved

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Zaslavsky, Arkady

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  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other locale
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Output format
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  • asciidoc
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