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Meta Model Context Based Space for Ubiquitous Computing

Author

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  • Mohammed Fethi Khalfi

    (Computer Science Department, University of Djilali Liabes, Sidi Bel Abbel, Algeria)

  • Sidi Mohamed Benslimane

    (Computer Science Department, University of Djilali Liabes, Sidi Bel Abbel, Algeria)

Abstract

Pervasive computing is a paradigm that focuses on the availability of computer resources anytime anywhere for any application and supports integration of computing services into everyday life. Context awareness is the core feature of pervasive computing. High-level context awareness can be enhanced by situation awareness that represents the ability to detect and reason about the real-life situations. In this paper, in order to deal with the problem in context-aware modeling in pervasive computing environments, the authors present a comprehensive and integrated approach for context modeling. They first propose a Meta model context based on ontology for Pervasive Computing aiming firstly to overcome the limitations of the existing ontologies, and secondly extend its capabilities by adding new environmental aspects. They divide the context model into Meta Ontology level and Domain-specific Ontology level according to the abstraction hierarchy. The Meta Ontology is the high abstract level which extracting the basic elements of the context knowledge. The Domain-specific Ontology is the lower abstract lever which focusing on different domains knowledge, directed by the Meta Ontology. The advantage is that it can provide a flexible modeling mechanism for multiple applications of context-aware pervasive computing. A case study of HealthCare domain is given to illustrate the practicality of the authors' Model.

Suggested Citation

  • Mohammed Fethi Khalfi & Sidi Mohamed Benslimane, 2015. "Meta Model Context Based Space for Ubiquitous Computing," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 7(2), pages 51-66, April.
  • Handle: RePEc:igg:japuc0:v:7:y:2015:i:2:p:51-66
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