基于约束提取与结构分析的语义Web服务发现算法研究

发布时间：2018-06-02 17:51

本文选题：语义Web + Web服务发现　；参考：《计算机工程与科学》2013年08期

【摘要】：随着互联网上Web服务数量的增多,如何快速准确地发现满足用户需求的Web服务已经成为一个亟待解决的问题。现在很多基于语义的Web服务发现方法都是基于IO匹配,当语义匹配失败时再采取其他措施来弥补。然而只是单纯的基于IO匹配语义Web服务发现的准确率并不高,提出了基于约束提取与结构分析的语义Web服务发现算法。算法分为两部分,首先进行基于约束提取的概念语义匹配,当匹配失败时再采取基于结构分析的算法。使用OWLS-TC2.0作为测试集合对该方法进行测试。结果表明,所提出的方法有效地提高了服务发现准确率。
[Abstract]:With the increase of the number of Web services on the Internet, how to quickly and accurately find Web services to meet the needs of users has become an urgent problem. Nowadays, many semantic-based Web service discovery methods are based on IO matching. When semantic matching fails, other measures are taken to make up for it. However, the accuracy of semantic Web service discovery based on IO matching is not high. A semantic Web service discovery algorithm based on constraint extraction and structure analysis is proposed. The algorithm is divided into two parts. Firstly, the concept semantic matching based on constraint extraction is carried out, and when the matching fails, the algorithm based on structure analysis is adopted. The method is tested using OWLS-TC2.0 as a set of tests. The results show that the proposed method can effectively improve the accuracy of service discovery.
【作者单位】：中国石油大学(华东)计算机与通信工程学院;东营职业学院;
【分类号】：TP391.1;TP393.09

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