A Fuzzy-set based Semantic Similarity Matching Algorithm for Web Service

被引：8

作者：

Bai, Li ^{[1
]}

Liu, Min ^{[2
]}

机构：

[1] Shanghai Lixin Univ Commerce, Accounting Dept, Shanghai 201620, Peoples R China

[2] Tongji Univ, CIMS Res Ctr, Shanghai 200092, Peoples R China

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING, PROCEEDINGS, VOL 2 | 2008年

基金：

国家高技术研究发展计划(863计划);

关键词：

Semantic Web Services; Semantic Similarity; Matching Degree; Fuzzy-set;

D O I：

10.1109/SCC.2008.147

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A critical step in the process of reusing existing WSDL-specified services for building web-based applications is the discovery of potentially relevant services. However the category-based service discovery, such as UDDI, is clearly insufficient. Semantic Web Services, augmenting Web service descriptions using Semantic Web technology, were introduced to facilitate the publication, discovery, and execution of Web services at the semantic level. Semantic matchmaker enhances the capability of UDDI service registries in the Semantic Web Services architecture by applying some matching algorithms between advertisements and requests described in OWL-S to recognize various degrees of matching for Web services. Based on Semantic Web Service framework, semantic matchmaker specification matching and probabilistic matching approach, this paper proposes a fuzzy-set based semantic similarity matching algorithm for Web Service to support a more automated and veracity service discovery process in the Semantic Web Service Framework.

引用

页码：529 / +

页数：2

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