普适环境下语义Web服务匹配算法研究

Cuncun Wei
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摘要

随着可用Web服务数量的急剧增加,如何在普及环境中定位正确的服务正成为一个巨大的挑战。UDDI基于关键字和简单分类的Web服务发现机制已不能满足当前的需求。定义本体概念之间的语义距离,计算本体概念之间的相似度。基于相似度,提出了一种新的语义Web服务匹配算法。实验结果表明,在普适环境下,该算法与实验结果具有良好的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Matching Algorithm of Semantic Web Service in Pervasive Environments
With the dramatic increasing number of available Web services, how to locate the right services is becoming a big challenge in pervasive environments. The Web services discovery mechanism of UDDI based on keywords and simple classification can not meet the current needs. A semantic distance between ontology concepts is defined to calculate the similarity between ontology concepts. Based on the similarity, a new semantic Web service matching algorithm is proposed. The evaluations of the experimental results have indicated that the results correlate well with this algorithm under the pervasive environment.
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