Ontology Based Context Modeling and Reasoning using OWL

  • Authors:

  • Xiao Hang Wang;Da Qing Zhang;Tao Gu;Hung Keng Pung

  • Affiliations:

  • -;-;-;-

  • Venue:
  • PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
  • Year:
  • 2004

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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.