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Detecting fence-sittings among categories of web services

机译:检测Web服务类别之间的围栏

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Finding clusters of Web Services benefits their sorting and discovery, moreover, certain services sitting on the fence between different services clusters could improve the quality of sorting and help users with cross-domain background to retrieve or combine the services correctly. In this paper, we extract words from the description field of Web Services on the level of semantic, and connect these words together to form a Weight Words Network (WWN), in which the edge weight denotes correlation of words in description field. On the basic of complex network community detection, we discover the fence-sitting words in WWN firstly. And then we map these words to the corresponding services, getting the fence-sitting services among different services categories. We compare the result of experiment on a well-known Web Services test collection, OWLS-TC, with a handmade classification, and find out the corresponding real-life meaning of fence-sitting services to evaluate the reasonability of our method.
机译:寻找Web服务集群利益他们的排序和发现,坐在不同服务集群之间的某些服务可以提高分类的质量,并帮助用户使用跨域背景来检索或连接服务。在本文中,我们从语义级别的Web服务领域中提取单词,并将这些单词连接在一起以形成重量字网络(WWN),其中边缘权重表示描述字段中的单词的相关性。在复杂网络社区检测的基础上,我们首先发现WWN的围栏坐在围栏的单词。然后我们将这些单词映射到相应的服务,使围栏服务在不同的服务类别中。我们将实验的结果进行了比较着名的Web服务测试收集,OWLS-TC,手工分类,并找出围栏服务的相应现实意义,以评估我们方法的合理性。

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