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TO INTELLIGENTLY SERVE USERS WITH DISTRIBUTED ACTIVE SERVICE PROVIDING SYSTEM

机译:智能地为用户提供分布式活动服务提供系统的用户

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As the most important component of pervasive computing, context-aware system gets more and more attention from the researchers. One of the basic technologies used to implement the contexts' description and reasoning in context-aware systems is ontology which has the big advantage at knowledge presenting and sharing. However, the shortage of the existent methods with ontology is obvious that most of them are predefined which makes them too fixed to provide the flexible services. In this paper, a Distributed Active Service Providing System (DASPS) is proposed to provide more accurate and more proper services to the end users in an active manner through ontology based contexts' similarity comparison. Moreover, a semantic-adaptive service choosing machine (Sasrc_Ma) is used in DASPS to improve the accuracy of the contexts' similarity which can dynamically adjust its computing result to satisfy the real situation of the users by considering the forwarding feedbacks of users. An effective negotiating mechanism is used to solve the conflicts occurred in this distributed application when dealing with the concurrent transactions.
机译:作为普遍计算的最重要组成部分,背景感知系统从研究人员越来越受到关注。用于实现上下文系统的上下文描述和推理的基本技术之一是本体是在知识呈现和共享中具有重要优势的本体。然而,具有本体的现有方法的短缺显然是预先义的,大多数都是使它们过于固定的,以提供灵活的服务。在本文中,提出了一种通过基于本体的上下文的相似性比较为最终用户提供更准确和更适当的服务,以便为最终用户提供更准确和更适当的服务。此外,DASP中使用语义 - 自适应服务选择机(SASRC_MA)以提高上下文相似度的准确性,这可以通过考虑用户转发反馈来动态调整其计算结果以满足用户的实际情况。在处理并发交易时,使用有效的谈判机制来解决此分布式应用程序中发生的冲突。

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