| 基于本体论和词汇语义相似度的Web服务发现 |
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| 引用本文： | 吴健,吴朝晖,李莹,邓水光.基于本体论和词汇语义相似度的Web服务发现[J].计算机学报,2005,28(4):595-602. |
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| 作者姓名： | 吴健 吴朝晖 李莹 邓水光 |
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| 作者单位： | 浙江大学计算机科学与技术学院,杭州,310027 |
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| 基金项目： | 国家“八六三”高技术研究发展计划项目基金( 2001AA414320，2001AA113142)，国家“九七三”重点基础研究发展规划项目基金(2003CB316906)资助. |
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| 摘 要： | Web服务的大量涌现对服务发现提出了挑战，UDDI上基于关键词和简单分类的服务发现机制已经不能很好满足需要．该文在分析现有相关研究的基础上，提出了基于本体论和词汇语义相似度的Web服务发现方法．通过构建Web服务本体，给出一个明晰的Web服务发现的研究对象，指出可对Web服务进行的几种相似度计算，并对其中的词汇语义相似度计算进行详细讨论．文中具体给出两种词汇语义相似度计算方法，其中第一种方法计算词汇语义相似度基于词语间距离度量，第二种方法计算词汇语义相似度则建立在义原相似度基础上．引入本体论和词汇语义相似度，为Web服务相似度计算、Web服务发现提供了一种有效可行的方法．
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| 关 键 词： | 本体 Web服务 词汇语义相似度 Web服务发现 |
| 作者简介： | 吴健,男,1975年生,博士,讲师,研究方向为Web服务、网格计算、数据挖掘.E-mail: wujian2000@zju.edu.cn.吴朝晖,男,1966年生,教授,博士生导师,研究方向为分布式人工智能、网格计算、生物认证与嵌入式系统.李莹,男,1973年生,博士,讲师,研究方向为软件体系结构、编译技术、中间件.邓水光,男,1979年生,博士研究生,研究方向为Web服务、工作流、中间件.WU Jian, born in 1975, Ph.D.. His main research interests include Web service grid computing, data mining.WU Zhao -Hui, born in 1966, professor, Ph.D. supervisor. His main research interests include artificial intelligence, grid computing, embedded system and so on.LI Ying, born in 1973, Ph.D., lecturer. His research interests include software architecture, compiler technology and middle ware.DENG Shui -Guang, born in 1979, Ph.D. candidate. His research interests include Web service, workflow, middle ware. |
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Web Service Discovery Based on Ontology and Similarity of Words |
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| WU Jian,WU Zhao-Hui,LI Ying,DENG Shui-Guang.Web Service Discovery Based on Ontology and Similarity of Words[J].Chinese Journal of Computers,2005,28(4):595-602. |
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| Authors: | WU Jian WU Zhao-Hui LI Ying DENG Shui-Guang |
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| Abstract: | Current infrastructure of Web services discovery such as UDDI provides text and taxonomy based search capabilities. With the large growth in number of Web services, the current Web service discovery mechanism becomes inefficient. Ontology and similarity based discovery or matching of services is a promising approach to address this challenge. This paper proposes Web service ontology and indicates several approaches to measuring similarity on this ontology. The method based on similarity of words which can be estimated in two ways is discussed in detail. This approach used in project will significantly improve Web services discovery. |
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| Keywords: | ontology Web service similarity of words Web service discovery |
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