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• W1921980147 abstract "Devices in a pervasive computing system (PCS) are characterized by their context-awareness. It permits them to provide proactively adapted services to the user and applications. To do so, context must be well understood and modeled in an appropriate form which enhance its sharing between devices and provide a high level of abstraction. The most interesting methods for modeling context are those based on ontology however the majority of the proposed methods fail in proposing a generic ontology for context which limit their usability and keep them specific to a particular domain. The adaptation task must be done automatically and without an explicit intervention of the user. Devices of a PCS must acquire some intelligence which permits them to sense the current context and trigger the appropriate service or provide a service in a better suitable form. In this paper we will propose a generic service ontology for context modeling and a context-aware service adaptation based on a service oriented definition of context. Keywords—Pervasive computing system, context, context- awareness, service, context modeling, ontology, adaptation, machine learning." @default.
• W1921980147 created "2016-06-24" @default.
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• W1921980147 date "2008-03-29" @default.
• W1921980147 modified "2023-09-23" @default.
• W1921980147 title "Context Modeling and Context-Aware Service Adaptation for Pervasive Computing Systems" @default.
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