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2008 Volume 23
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RESEARCH ARTICLE   Open Access    

Dynamic context management for pervasive applications

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  • Abstract: Pervasive computing aims at providing services for human beings that interact with their environment (encompassing objects and people who reside in it). Pervasive computing applications must be able to take into account the context in which users evolve, for example, physical location, social or hierarchical position, current tasks as well as related information. These applications have to deal with the dynamic integration in the environment of new, and sometimes unexpected, elements (users or devices). In turn, the environment has to provide context information to newly designed applications. This requires a framework which is open, dynamic and minimal. We describe an architecture in which context information is distributed in the environment and context managers use semantic Web technologies in order to identify and characterize available resources. The components in the environment maintain their own context expressed in RDF (Resource Description Framework) and described through OWL ontologies. They may communicate this information to other components, obeying a simple protocol for identifying them and determining the information they can provide. We show how this architecture allows introducing new devices and new applications without interrupting what is working. In particular, the openness of ontology description languages makes possible the extension of context descriptions and ontology matching helps dealing with independently developed ontologies.
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  • Cite this article

    JÉRÔME EUZENAT, JÉRÔME PIERSON, FANO RAMPARANY. 2008. Dynamic context management for pervasive applications. The Knowledge Engineering Review. 23: doi: 10.1017/S0269888907001269
    JÉRÔME EUZENAT, JÉRÔME PIERSON, FANO RAMPARANY. 2008. Dynamic context management for pervasive applications. The Knowledge Engineering Review. 23: doi: 10.1017/S0269888907001269
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RESEARCH ARTICLE   Open Access    

Dynamic context management for pervasive applications

  • Published online: 01 March 2008
The Knowledge Engineering Review  23,  Article number: 10.1017/S0269888907001269  (2008)  |  Cite this article

Abstract: Abstract: Pervasive computing aims at providing services for human beings that interact with their environment (encompassing objects and people who reside in it). Pervasive computing applications must be able to take into account the context in which users evolve, for example, physical location, social or hierarchical position, current tasks as well as related information. These applications have to deal with the dynamic integration in the environment of new, and sometimes unexpected, elements (users or devices). In turn, the environment has to provide context information to newly designed applications. This requires a framework which is open, dynamic and minimal. We describe an architecture in which context information is distributed in the environment and context managers use semantic Web technologies in order to identify and characterize available resources. The components in the environment maintain their own context expressed in RDF (Resource Description Framework) and described through OWL ontologies. They may communicate this information to other components, obeying a simple protocol for identifying them and determining the information they can provide. We show how this architecture allows introducing new devices and new applications without interrupting what is working. In particular, the openness of ontology description languages makes possible the extension of context descriptions and ontology matching helps dealing with independently developed ontologies.

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    JÉRÔME EUZENAT, JÉRÔME PIERSON, FANO RAMPARANY. 2008. Dynamic context management for pervasive applications. The Knowledge Engineering Review. 23: doi: 10.1017/S0269888907001269
    JÉRÔME EUZENAT, JÉRÔME PIERSON, FANO RAMPARANY. 2008. Dynamic context management for pervasive applications. The Knowledge Engineering Review. 23: doi: 10.1017/S0269888907001269
    shu

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