Dynamic context management for pervasive applications

Abstract : Pervasive computing aims at providing services for human beings that interact with their environment, encompassing objects and humans who reside in it. Applications must be able to take into account the context in which users evolve, e.g., 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. 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 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 are capable to provide. We show how this architecture allows the introduction of new components 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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Knowledge Engineering Review, Cambridge University Press (CUP), 2008, 23 (1), pp.21-49. 〈10.1017/S0269888907001269〉
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Jérôme Euzenat, Jérôme Pierson, Fano Ramparany. Dynamic context management for pervasive applications. Knowledge Engineering Review, Cambridge University Press (CUP), 2008, 23 (1), pp.21-49. 〈10.1017/S0269888907001269〉. 〈hal-00793541〉

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