Research on Web Service Discovery with Semantics and Clustering

摘要：

In traditional Web service discovery methods, the search results from service registries are inadequate due to the lack of semantic descriptions of the Web services. Moreover, with the heavily increasing amount of Web services, these methods usually cause low efficiency and poor performance. This paper presents a Web service discovery method based on semantics and clustering. The experiment result indicates that the algorithm proposed is more better and efficient than that of full scan search method.

关键词： component Web service discovery ontology semantic Web service service clustering K-medoids algorithm

作者: Tao Wen Guojun Sheng Yingqiu Li Quan Guo

作者单位: College of Information Science and Engineering Northeastern University, NEU Shen Yang, China Department of Computer Science and Technology DaLian Neusoft Institute of Information DaLian, China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 62-67

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）