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机构地区:[1]北京邮电大学网络与交换技术国家重点实验室,北京100876
出 处:《北京邮电大学学报》2006年第S1期43-47,共5页Journal of Beijing University of Posts and Telecommunications
基 金:国家自然科学基金项目(90204007);国家"973计划"项目(2003CB314806);长江学者和创新团队发展计划资助项目
摘 要:为了解决自动服务组合过程中的知识表示和知识积累问题,提高对已有的成功服务组合的可重用性与服务组合的效率,研究了一种基于范例推理的Web服务组合方法.该方法将范例推理技术用于服务组合的发现阶段,并且将现有服务组合引擎的推理工作移至范例推理系统中,设计适当检索、修改、重用和存储机制获取满足用户需求的组合服务逻辑集成,并提交服务执行引擎处理,实现自动服务组合.与其他方法的对比试验和定性分析结果表明,基于范例推理的服务组合方法在一定条件下能有效减少服务组合的代价,提高服务组合的成功率和效率.An approach to service composition,which is based on Case-Based Reasoning is presented in order to resolve the problem of expression and accumulation of knowledge in the process of automatic service composition.The reusability and efficiency was improved thereafter.Case-Based Reasoning in the stage of service composition discovery is applied with this approach when moving the logic design of the existing service composition engine to Case-Based Reasoning system.Further more,the suitable mechanism of retrieving,revising,reusing and retaining is designed to establish all sorts of service composition logic sets for users and send them to the service execution engine to realize automatic service composition.Finally,related experiments and qualitative analysis results indicate that the approach based on Case-Based Reasoning can reduce the cost of service composition and improve success rate and service composition efficiency under the certain condition.
分 类 号:TP393.092[自动化与计算机技术—计算机应用技术]
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