Fuzzy sets and similarity relations for semantic web service matching

Fuzzy sets and similarity relations for semantic web service matching
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用于语义 Web 服务匹配的模糊集和相似关系

DOI:
10.1016/j.camwa.2010.09.049
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发表时间:
2011-04
期刊:
Computers & Mathematics with Applications
影响因子:
--
通讯作者:
Liu Min
Liu Min
中科院分区:
其他
文献类型:
--
作者:
Bai Li;Liu Min

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语义Web服务(Semantic Web Services,SWS)是为了方便Web服务的发布、发现和执行而引入的。语义匹配器增强了SWS体系结构中Web服务注册中心的能力,能够识别Web服务的各种匹配程度。基于SWS和模糊集理论,提出了一种语义Web服务的模糊匹配方法,以支持更自动、更准确的服务发现过程。
Semantic Web Services (SWS) were introduced to facilitate the publication, discovery, and execution of web services. A semantic matchmaker enhances the capability of UDDI service registries in the SWS architecture and it is able to recognize various degrees of matching for web services. On the basis of SWS and fuzzy-set theory, a fuzzy matching approach for semantic web services is proposed, to support a more automated and veracious service discovery process.
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