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计算机工程 ›› 2018, Vol. 44 ›› Issue (8): 224-229,236.doi: 10.19678/j.issn.1000-3428.0047537

• 人工智能及识别技术 • 上一篇    下一篇

基于刻面与本体标识的语义Web服务发现方法

杜胜浩,钱晓捷   

  1. 郑州大学 信息工程学院,郑州 450001
  • 收稿日期:2017-06-09 出版日期:2018-08-15 发布日期:2018-08-15
  • 作者简介:杜胜浩(1990—),男,硕士研究生,主研方向为信息检索、软件体系结构;钱晓捷,副教授。
  • 基金项目:

    国家社会科学基金(14BYY096)。

Semantic Web Service Discovery Method Based on Facet and Ontology Marker

DU Shenghao,QIAN Xiaojie   

  1. School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China
  • Received:2017-06-09 Online:2018-08-15 Published:2018-08-15

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204

摘要：

为快速且高效地从服务注册库中发现所需的语义Web服务,提出一种语义Web服务发现方法。使用本体概念对语义Web服务进行刻面描述,并将其转化为刻面树。在进行服务匹配之前对语义相似的服务进行聚类处理,并在服务注册库中形成服务簇,从而减少服务比较次数,使服 务匹配更高效。实验结果表明,该方法的查准率和查全率分别为87.6%和90.6%,与基于聚类和二分图的方法相比,服务响应时间减少50%,提高了服务发现的效率。

关键词: 语义Web服务, 刻面, 本体, 概念相似度, 聚类, 服务发现

Abstract:

For quickly and efficiently find the required semantic Web service from the service register,a semantic Web service discovery method is proposed.The ontology concept is used to describe the semantic Web service and it is transformed into faceted tree.The semantic similarity service is clustered before the service matching,and the service cluster is formed in the service register.Then the number of service comparisons is reduced and the service matching is more efficient.Experimental results show that the precision and recall of the method is up to 87.6% and 90.6%,compared with clustering and two partite graph methods,the service response time is reduced by half,and the efficiency of service discovery is improved.

Key words: semantic Web service, facet, ontology, concept similarity, clustering, service discovery

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