NDLI: Hierarchical situation modeling and reasoning for pervasive computing

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The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06)

Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems and the Second International Workshop on Collaborative Computing, Integration, and Assurance-SEUS 2006/WCCIA 2006

The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance - Title

The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance - Copyright

Message from the SEUS 2006 Chairs

Message from the WCCIA 2006 Chairs

SEUS 2006 Organizing Committees

WCCIA 2006 Organizing Committees

WCCIA 2006 reviewers

Hierarchical situation modeling and reasoning for pervasive computing

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Third IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems (SEUS'05)

Second IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, 2004. Proceedings.

Proceedings IEEE Workshop on Software Technologies for Future Embedded Systems. WSTFES 2003

Hierarchical situation modeling and reasoning for pervasive computing

Content Provider	IEEE Xplore Digital Library
Author	Yau, S.S. Junwei Liu
Copyright Year	2006
Description	Author affiliation: Arizona State Univ., Tempe, AZ (Yau, S.S.; Junwei Liu)
Abstract	Situation awareness is one of the most fundamental features of entities in pervasive computing environments to dynamically adapt their behavior to situation changes to satisfy user requirements, including security and privacy. In order to support situation-aware adaptation, it is necessary to model and specify context and situation in a way such that multiple entities can easily exchange, share and reuse their knowledge on context and situation. In this paper, an OWL-based situation ontology to model situation hierarchically to facilitate sharing and reusing of situation knowledge and logic inferences is presented. The conversion of OWL situation ontology specifications to the first-order logic (FOL) representations, and the performance of FOL rule-based reasoning in terms of problem size and time are discussed
File Size	321475
File Format	PDF
ISBN	0769525601
DOI	10.1109/SEUS-WCCIA.2006.25
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pervasive computing OWL Context modeling Ontologies Logic Semantic Web Security Privacy Surface acoustic waves Conferences ontology and OWL. Situation awareness situation modeling situation reasoning pervasive computing Semantic Web
Content Type	Text
Resource Type	Article

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