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In a ubiquitous computing environment, contexts are initially got and stored on those nodes scattered over the environment. However, the traditional reasoning about contexts applied a centralized approach which aggravated the load of reasoning server and cost for communication of context. As an important approach for context reasoning, the rule-based reasoning can be easily decomposed of independent...
In a pervasive computing environment, the personalized recommender system incorporates contexts into recommendation and becomes a multiple dimensional decision expert system. In this paper, we present DFre, a distributed fuzzy reasoning engine for personalization recommendation. With difference from those existing rule-based systems, the DFre puts an emphasis on the distribution of the recommendation...
This paper presents a novel service discovery framework for ubiquitous computing called hierarchical ubiquitous computing service discovery framework (HUCSDF). HUCSDF offers a more flexible and scalable architecture which can combine the local services with remote services. Based on the novel architecture, HUCSDF possesses some useful characteristics such as supporting migration of user's personal...
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