考虑IOPE匹配的语义web服务组合
发布时间：2018-12-29 18:45
【摘要】：针对传统语义web服务组合方法中仅考虑I/O接口间匹配,从而导致服务间功能匹配度不高的情况,提出一个新的语义web服务组合框架.该框架改进传统规划图以便体现服务的IOPE特性,为抽取组合方案提供功能匹配相关的启发信息.为了获得更多组合方案,框架一方面支持抽象用户请求的表达,另一方面在规划图的基础上,采用基于广度优先的后向搜索策略.最后,基于该框架实现一个web服务组合系统,一系列实验表明该框架是有效的和可伸缩的.
[Abstract]:A new semantic web service composition framework is proposed to solve the problem that only the matching between I / O interfaces is considered in the traditional semantic web service composition method, which leads to a low degree of functional matching between services. The framework improves the traditional planning diagram to reflect the IOPE characteristics of the service and provides heuristic information about function matching for the extraction composition scheme. In order to obtain more combinatorial schemes, the framework supports the representation of abstract user requests on the one hand, and adopts a backward-search strategy based on breadth-first on the other hand on the basis of planning diagrams. Finally, a web service composition system is implemented based on the framework. A series of experiments show that the framework is effective and scalable.
【作者单位】： 天津大学计算机学院;山东建筑大学计算机学院;
【基金】：国家自然科学基金资助项目(61173155,61373035)~~
【分类号】：TP393.09
[Abstract]:A new semantic web service composition framework is proposed to solve the problem that only the matching between I / O interfaces is considered in the traditional semantic web service composition method, which leads to a low degree of functional matching between services. The framework improves the traditional planning diagram to reflect the IOPE characteristics of the service and provides heuristic information about function matching for the extraction composition scheme. In order to obtain more combinatorial schemes, the framework supports the representation of abstract user requests on the one hand, and adopts a backward-search strategy based on breadth-first on the other hand on the basis of planning diagrams. Finally, a web service composition system is implemented based on the framework. A series of experiments show that the framework is effective and scalable.
【作者单位】： 天津大学计算机学院;山东建筑大学计算机学院;
【基金】：国家自然科学基金资助项目(61173155,61373035)~~
【分类号】：TP393.09
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