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Improving Web Service Discovery by a Functional and Structural Approach

机译:通过功能和结构方法改善Web服务发现

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Service oriented Architecture (SOA) has been widely used in service computing applications and this fact has been encouraged the publication over the Web in a Web Service format. Whereas the number of Web services published on the Web is growing up, discovery techniques must be improved so as to retrieve more desirable services. Nowadays, the most commonly used technique is semantic filters based on ontological concepts. However, such mechanisms can leave out some important Web services of the matching process, because of their structural relationship not mentioned in an ontology. In order to overcome such problems, some authors have proposed a hybrid approach to combine traditional syntactic and semantic approaches. These proposals remain restricted especially with respect to complexity, precision and time of execution, thus making such solutions in most of cases unfeasible. In this paper, we combine semantic filters based on functional properties with a structural approach, analyzing each neighbor relationship in an ontology. The results showed a considerable improvement in terms of performance and a complexity reduction with respect to other existing techniques. Furthermore, we implement a tool called OWLS-S Discovery in order to simplify the use of our approach by developers.
机译:面向服务的体系结构(SOA)已被广泛用于服务计算应用程序中,这一事实已被鼓励以Web Service格式在Web上发布。尽管在Web上发布的Web服务的数量正在增长,但是必须改进发现技术以便检索更理想的服务。如今,最常用的技术是基于本体概念的语义过滤器。但是,由于这种机制在本体中未提及,因此可以省略匹配过程中的一些重要Web服务。为了克服这些问题,一些作者提出了一种将传统句法和语义方法相结合的混合方法。这些建议仍然受到限制,特别是在复杂性,准确性和执行时间方面,因此,在大多数情况下,这样的解决方案是不可行的。在本文中,我们将基于功能属性的语义过滤器与结构化方法相结合,分析了本体中的每个邻居关系。结果表明,相对于其他现有技术,该方法在性能和复杂性方面均取得了显着改善。此外,我们实现了一个名为OWLS-S Discovery的工具,以简化开发人员对我们方法的使用。

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