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In pervasive computing environment the low-level context data provided by the sensors are usually meaningless, and thus higher-level context needs to be extracted. Situation is the semantic interpretation of low-level context, permitting a higher-level specification of human behavior in the scene and the corresponding system service. Context modeling and reasoning are the two key parts in the situation...
With the increasing adoption of Web Services and service-oriented computing paradigm, there is a growing need for efficient mechanism for Web Service discovery. The current semantic matchmaking algorithms are mainly based on the comparison of inputs and outputs of the service request and advertised service. Here reducing the service discovery time and increasing the quality of discovery are the key...
Mobile TV provides multimedia contents to the user by wireless communication. Here the personalized recommendation system allows the users to easily select the contents wanting to access. In this paper we propose a personalized recommendation scheme which considers the activities of the user at runtime and the information on the environment around the user. It allows efficient operation in mobile...
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