A bayesian approach for dealing with uncertain contexts

Tao Gu, Hung Keng Pung, Da Qing Zhang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review


Building of context-aware applications in pervasive computing environments faces the difficult problem of dealing with uncertain context information. In this paper, we propose a probability extension to our ontology-based model for representing uncertain contexts; and use Bayesian networks to reason about uncertainty. In addition, the supports of probabilistic markups and Bayesian networks have been incorporated into our contextaware middleware system to enable the building of context-aware services by using various uncertain contexts. We also present our experiences and discussions.
Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Pervasive Computing (Pervasive 2004)
PublisherAustrian Computer Society
Number of pages7
Publication statusPublished - 2004
Externally publishedYes
Event2nd International Conference on Pervasive Computing, 2004 - Vienna, Austria
Duration: 21 Apr 200423 Apr 2004


Conference2nd International Conference on Pervasive Computing, 2004


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