作　　者： ; ; ; ; ;

机构地区： 中国科学院计算技术研究所智能信息处理重点实验室

出　　处： 《模式识别与人工智能》 2010年第1期65-71,共7页

摘　　要： 在语义Web服务发现中,服务本身及用户所处的语境是不可忽视的因素.针对现有服务发现方法的不足,给出一种基于语境和动作推理的语义Web服务发现方法.该方法通过建立基于动作的语境模型来刻画静态和动态的语境信息,利用动态描述逻辑中的动作推理实现语境推理,并在此基础上实现语境敏感的语义Web服务发现算法.案例研究及相关工作对比表明,与现有方法相比,文中方法在语境刻画和推理能力方面均有较优表现.同时实验结果也表明,在增加合理逻辑推理的时空开销的前提下,文中方法能为用户提供更符合需求的服务发现结果. Context around service itself and user is one of the most significant factors for semantic Web service discovery. Aiming at the drawbacks of the existing discovery approaches, a semantic Web service discovery based on context and action reasoning is proposed. An action-based context model is built to characterize the static and the dynamic context of Web services. And the action reasoning mechanism in dynamic description logic is used to realize context reasoning. Then, a context-aware discovering algorithm is implemented. The case study and the related work comparison show that the proposed approach has better performance on both context characterization and reasoning. Moreover, the results of experimental evaluation show that the proposed approach provides appropriate results of service discovery for user while reasonable time cost and space cost of logic reasoning are added.

关 键 词： 语义 服务 服务发现 语境 动作推理 动态描述逻辑

领　　域： [自动化与计算机技术] [自动化与计算机技术]