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|Title:||Ontology based context modeling and reasoning using OWL|
|Citation:||Wang, X.H.,Zhang, D.Q.,Gu, T.,Pung, H.K. (2004). Ontology based context modeling and reasoning using OWL. Proceedings - Second IEEE Annual Conference on Pervasive Computing and Communications, Workshops, PerCom : 18-22. ScholarBank@NUS Repository.|
|Abstract:||In this paper we propose an OWL encoded context ontology (CONON) for modeling context in pervasive computing environments, and for supporting logic-based context reasoning. CONON provides an upper context ontology that captures general concepts about basic context, and also provides extensibility for adding domain-specific ontology in a hierarchical manner. Based on this context ontology, we have studied the use of logic reasoning to check the consistency of context information, and to reason over low-level, explicit context to derive high-level, implicit context. By giving a performance study for our prototype, we quantitatively evaluate the feasibility of logic based context reasoning for nontime-critical applications in pervasive computing environments, where we always have to deal carefully with the limitation of computational resources.|
|Source Title:||Proceedings - Second IEEE Annual Conference on Pervasive Computing and Communications, Workshops, PerCom|
|Appears in Collections:||Staff Publications|
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