Method to cluster Web services by integrating functional semantics and service collaboration

被引：0

作者：

Wang K. ^{[1
]}

Hu Q. ^{[1
]}

Wang H. ^{[1
]}

Du J. ^{[1
]}

Pan G. ^{[1
]}

机构：

[1] College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 04期

关键词：

functional semantics; service cluster; service collaboration; Web services;

D O I：

10.13196/j.cims.2023.04.025

中图分类号：

学科分类号：

摘要：

Current Web service clustering methods mainly focus on the semantic information of service function description,but lack of consideration of service collaboration.To further improve service clustering quality,a service clustering method integrating functional semantics and service collaboration was proposed.The service function feature vectors with high-quality function semantic expression were generated by fusing tag vectors and service description text vectors.Then the service collaboration network was established.A weighted GraphSAGE model was designed to aggregate the features of neighborhood service nodes on the service collaboration network.Service representation vector was obtained by integrating the collaboration relationship into service function feature vector.Finally,the K-means + + algorithm was used for clustering.Experiments showed that the service function vector generated by this method significantly improved the clustering quality by comparing with the traditional models.Moreover,the integration of collaborative features further improved the effect of service clustering. © 2023 CIMS. All rights reserved.

引用

页码：1336 / 1345

页数：9

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