Ontology Based Context Modeling and Reasoning using OWL
Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, page 18--. Washington, DC, USA, IEEE Computer Society, (2004)Abstract
In this paper we propose an OWL encoded contextontology (CONON) for modeling context in pervasivecomputing environments, and for supporting logic-based context reasoning. CONON provides an upper context ontology that captures general conceptsabout basic context, and also provides extensibilityfor adding domain-specific ontology in ahierarchical manner. Based on this context ontology,we have studied the use of logic reasoning to checkthe consistency of context information, and to reasonover low-level, explicit context to derive high-level,implicit context. By giving a performance study forour prototype, we quantitatively evaluate thefeasibility of logic based context reasoning for non-time-critical applications in pervasive computing environments, where we always have to dealcarefully with the limitation of computationalresources.
Description
Ontology Based Context Modeling and Reasoning using OWL
