Sunday, December 17, 2006
Ontology Based Context Modeling and Reasoning using OWL
There is a strong interest in an ontology of context in the field of mobile, ubiquitous computing. Researchers are using semantic web technologies to define the ontology.
Ontology Based Context Modeling and Reasoning using OWL (PDF file)
by Xiao Hang Wang, Tao Gu, Da Qing Zhang, Hung Keng Pung
"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 non-time-critical applications in pervasive computing environments, where we always have to deal carefully with the limitation of computational resources."
Ontology Based Context Modeling and Reasoning using OWL (PDF file)
by Xiao Hang Wang, Tao Gu, Da Qing Zhang, Hung Keng Pung
"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 non-time-critical applications in pervasive computing environments, where we always have to deal carefully with the limitation of computational resources."
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