Semantic Web Service Similarity Ranking Proposal Based on Semantic Space Vector Model

摘要：

With the Semantic Web services technology research work continued to deepen, the number of semantic Web services on the Internet has dramatically increased how to locate available semantic Web services quickly and easily has become an urgent and key issue. Among semantic Web service matchmaking technology study, one of the important research themes is the semantic Web service matchmaking result ranking mechanism. In this paper, a novel semantic Web service ranking mechanism based on semantic space vector model is proposed. The calculation of semantic similarity measure can be realized by using this threedimensional semantic space vector model, therefore, the semantic Web Service matchmaking results can be ranked in accordance with the semantic similarity measure. The approach based on semantic space vector model will significantly improve search accuracy of semantic Web service matchmaking, and achieve high performance of the user experience of semantic Web services search.

关键词： Semantic Web Service Semantic Web Services Search Semantic Space Vector Model

作者: ZENG ZhiHao HU JiPing DONG Ting WANG Yu

作者单位: School of Computer and Communication, Hunan University of Technology, Zhuzhou 41200, China School of Computer, National University of Defense Technology, Changsha, Hunan, China Hunan Vocational College of Science and Technology, Changsha, Hunan, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 917-920

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）