Ontology based context modeling and reasoning using OWL

Xiao Hang Wang, Da Qing Zhang, Tao Gu, Hung Keng Pung

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

795 Citations (Scopus)

Abstract

Here 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.
Original languageEnglish
Title of host publicationProceedings Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Subtitle of host publicationPerCom 2004
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages18-22
Number of pages5
ISBN (Print)0769521061
DOIs
Publication statusPublished - 2004
Externally publishedYes
EventIEEE Annual Conference on Pervasive Computing and Communications Workshops (2nd : 2004) - Orlando, United States
Duration: 13 Mar 200413 Mar 2004

Conference

ConferenceIEEE Annual Conference on Pervasive Computing and Communications Workshops (2nd : 2004)
Abbreviated titlePerCom 2004
CountryUnited States
CityOrlando
Period13/03/0413/03/04

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