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An SP-Tree-Based Web Service Matching Algorithm Considering Data Provenance

机译：考虑数据来源的基于SP树的Web服务匹配算法

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摘要

Currently the semantic-based Web service matching has improved the precision ratio of service discovery. But it can't distinguish between different data on the different needs of the service, due to rarely considering the input data provenance of Web services. That is an important contribution of high precision ratio. Therefore, in this paper, for further improving the accuracy of Web service matching, the data provenance is considered as a constraint attribute of Web service matching. Firstly, an SP-tree-based Web service matching algorithm considering data provenance (SMDP) is proposed, consisting of three aspects: The general algorithm thoughts, the data How provenance matching calculation method, (which is mainly introduced for it is the hardest calculation part), and the experiments verifying precision ratio of SMDP is 10% higher than the traditional semantic-based matching. Secondly, a Web service matching model based on SMDP is designed and a prototype system for water resources application is implemented, which confirms the feasibility and effectiveness of SMDP, especially, the importance of data How provenance in service matching.
机译：当前基于语义的Web服务匹配已经提高了服务发现的准确率。但是由于很少考虑Web服务的输入数据来源，因此无法区分服务需求不同的不同数据。这是高精度比率的重要贡献。因此，在本文中，为了进一步提高Web服务匹配的准确性，数据源被视为Web服务匹配的约束属性。首先提出了一种基于SP树的考虑数据源的Web服务匹配算法，包括三个方面：通用算法思想，数据源匹配的计算方法（主要介绍它是最难的计算方法）部分），并且实验证明SMDP的准确率比传统的基于语义的匹配高10％。其次，设计了基于SMDP的Web服务匹配模型，并实现了水资源应用样机系统，这证实了SMDP的可行性和有效性，特别是数据源在服务匹配中的重要性。

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