Communications of the ACM - Supporting community and building social capital
Understanding and Using Context
Personal and Ubiquitous Computing
Modeling Context Information in Pervasive Computing Systems
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Providing Contextual Information to Pervasive Computing Applications
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Quality adaptation in a multisession multimedia system: model, algorithms, and architecture
Quality adaptation in a multisession multimedia system: model, algorithms, and architecture
Solving the multidimensional multiple-choice knapsack problem by constructing convex hulls
Computers and Operations Research
Descriptive naming of context data providers
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Context management for the provision of adaptive services to roaming users
IEEE Wireless Communications
Managing dynamic context to optimize smart interactions and services
The smart internet
Managing dynamic context to optimize smart interactions and services
The smart internet
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The easy creation of context-aware services requires the support of management facilities that provide ways to more easily acquire, represent and distribute context information. This paper claims that the quality level of a context-aware service determines the context information to be obtained. On the other hand, using context data produced by unsteady sources may affect the users' satisfaction. In this perspective, we introduce the Context Matching Engine that trades off the cost, the user preferences and the quality of the available context information in order to discover the best context sources for each customized context-aware service. According to the proposed approach, there is no need for the services to know beforehand the context providers to retrieve information, but the evaluation and the quality-aware selection of the context information on context request are envisioned. Finally, it allows services to be ported easily to environments with different set of context sources.