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Modeling and reasoning about uncertainty in context-aware systems
2005
IEEE International Conference on e-Business Engineering (ICEBE'05)
Uncertainty always exists as an unavoidable factor when developing context-aware applications for pervasive computing environments [1][2][3][4]. In this paper, we propose a unified context model to support representation and reasoning about uncertain context. Our unified context model extends the existing, de-facto ontology-based context models with probabilistic models to support probabilistic reasoning. Especially, our context model can be easily integrated with existing ontology-based
doi:10.1109/icebe.2005.90
dblp:conf/icebe/TruongLL05
fatcat:3yuxakjievcczmln5aqthi55u4