Ontology Based Context Modeling and Reasoning using OWL

In this paper we propose an OWL encoded context ontology (CONON) for modeling context in pervasive computing environments, and for supporting logicbased 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.

• Type: Conference
• Year: 2004
• Where: PERCOM
• Authors: Xiaohang Wang, Daqing Zhang, Tao Gu, Hung Keng Pung
• Keywords: Logicbased Context Reasoning, OWL Encoded Context, PERCOM 2004, Upper Context Ontology, Wireless Networks