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A Semantic Match Algorithm for Web Services Based on Improved Semantic Distance

机译:基于改进语义距离的Web服务语义匹配算法

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The remarkable increase of web services raises the challenge of service discovery. In UDDI, the description of the services is based on syntax and the search does not effectively make use of the IO properties of the services. In order to overcome these limitations, some semantic match algorithms have been proposed. This paper analyzed the defects of the semantic match algorithm proposed by M. Paolucci et al.[1], introduced the semantic match method based on semantic distance and indicated the defects of current semantic match algorithm based on semantic distance. Then this paper proposed a semantic match algorithm based on improved semantic distance. By concrete examples, we show that our improved algorithm eliminated the defects of the algorithm proposed in [1] and the defects of the current semantic match algorithm based on semantic distance. So our improved algorithm does improve the precision ratio and the recall ratio of service discovery.
机译:Web服务的显着增加提高了服务发现的挑战。在UDDI中,服务的描述基于语法,搜索没有有效地利用服务的IO属性。为了克服这些限制,已经提出了一些语义匹配算法。本文分析了M. Paolucci等人提出的语义匹配算法的缺陷。[1],基于语义距离引入了语义匹配方法,并指出了基于语义距离的电流语义匹配算法的缺陷。然后,本文提出了一种基于改进的语义距离的语义匹配算法。通过具体示例,我们表明我们改进的算法消除了[1]中提出的算法的缺陷以及基于语义距离的当前语义匹配算法的缺陷。因此,我们改进的算法确实提高了优点比和服务发现的召回比率。

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