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Automatic Composition of Semantic Web Services Based on Fuzzy Predicate Petri Nets

机译:基于模糊谓词Petri网的语义Web服务自动组合

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摘要

Web service composition is a challenging research issue. This paper presents an automatic Web service composition method that deals with both input/output compatibility and behavioral constraint compatibility of fuzzy semantic services. First, user input and output requirements are modeled as a set of facts and a goal statement in the Horn clauses, respectively. A service composition problem is transformed into a Horn clause logic reasoning problem. Next, a Fuzzy Predicate Petri Net (FPPN) is applied to model the Horn clause set, and T-invariant technique is used to determine the existence of composite services fulfilling the user input/output requirements. Then, two algorithms are presented to obtain the composite service satisfying behavioral constraints, as well as to construct an FPPN model that shows the calling order of the selected services.
机译:Web服务组合是一个具有挑战性的研究问题。本文提出了一种自动Web服务组合方法,该方法同时处理模糊语义服务的输入/输出兼容性和行为约束兼容性。首先,在Horn子句中分别将用户输入和输出需求建模为一组事实和一个目标声明。服务组合问题被转换为Horn子句逻辑推理问题。接下来,应用模糊谓词Petri网(FPPN)对Horn子句集建模,并使用T不变技术确定满足用户输入/输出要求的复合服务的存在。然后,提出了两种算法来获得满足行为约束的复合服务,并构建一个显示所选服务呼叫顺序的FPPN模型。

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