基于语义web服务的软件可信性计算方法研究

发布时间：2018-05-14 00:08

本文选题：语义网 + Web服务　；参考：《浙江工业大学》2014年硕士论文

【摘要】：Web服务作为网络化的主要形式,其可信性问题已成为Web服务获得进一步发展的主要障碍。但是,现有的Web服务技术尚没有完整、有效的可信性描述语言,使得Web服务提供者和请求者之间难以表达自己的可信性诉求。此外,现有的可信性计算方法主要是聚合直接交互经验和第三方推荐经验来衡量Web服务的可信性,然而目前尚缺乏一个能够较好的融合两方面经验的方法。同时,也难以对Web服务可信度的变化做出实时的响应。针对上述问题,本文提出了一个基于协作频度聚类的语义Web服务可信度计算方法。本文的主要工作和成果如下： 1.构建语义Web服务的可信本体在总结传统软件可信性的基础上,对Web服务领域的可信领域进行了初步的研究,对可信属性和属性间的关系进行了概括和总结,构建了一个语义Web服务的可信性指标体系。在此基础上,利用OWL本体描述语言构建了一个可信本体,并对OWL-S进行扩展,使其支持Web服务的可信性描述。 2.提出了一种基于协作频度聚类的语义Web服务可信度计算方法本文提出了一种基于Web服务聚类的可信度计算方法。该方法利用Web服务间的协作关系对Web服务进行聚类,以此划分Web服务群体。接着,通过Web服务间的交互获得Web服务的个体可信度,并以Web服务群体为单位计算其群体可信度度,最后将Web服务的群体可信度与个体可信度聚合,得到一个综合可信度。 3.设计了一种语义Web服务可信度计算框架SWSTE-C 针对本文提出的可信度计算方法,本文设计了一种语义Web服务可信度计算框架SWSTE-C。该框架以SOA架构的三方角色为基础,对Web服务的协作记录和信任关系进行管理,能够支持Web服务的可信度计算,同时能对Web服务可信性的实时变化作出反
[Abstract]:As the main form of network, the credibility of Web services has become the main obstacle to the further development of Web services. However, the existing Web services technology does not have a complete and effective credibility description language, which makes it difficult for Web service providers and requesters to express their credibility demands. In addition, the existing credibility calculation methods are mainly to aggregate direct interaction experience and third-party recommendation experience to measure the credibility of Web services. However, there is still a lack of a better way to integrate the two aspects of experience. At the same time, it is difficult to respond to the change of Web service credibility in real time. To solve the above problems, this paper proposes a method for calculating the reliability of semantic Web services based on cooperative frequency clustering. The main work and results of this paper are as follows: 1. Constructing trusted Ontology of semantic Web Services On the basis of summarizing the credibility of traditional software, this paper makes a preliminary study on the trusted domain in the field of Web services, generalizes and summarizes the relationship between trusted attributes and attributes, and constructs a credibility index system of semantic Web services. On this basis, a trusted ontology is constructed by using OWL ontology description language, and OWL-S is extended to support the creditability description of Web services. 2. In this paper, a method for computing the reliability of semantic Web services based on cooperative frequency clustering is proposed. In this paper, a method of reliability calculation based on Web services clustering is proposed. This method uses the cooperative relationship between Web services to cluster Web services to divide the Web services population. Then, the individual reliability of Web service is obtained by the interaction between Web services, and the group reliability degree of Web service group is calculated in unit. Finally, the group reliability of Web service is aggregated with individual credibility, and a comprehensive credibility is obtained. 3. In this paper, a semantic Web service reliability computing framework, SWSTE-C, is designed. Aiming at the reliability calculation method proposed in this paper, a semantic Web service credibility computing framework SWSTE-C is designed in this paper. Based on the tripartite role of SOA architecture, the framework manages the cooperative record and trust relationship of Web services, which can support the credibility calculation of Web services and counter the real-time changes of Web services' credibility.
【学位授予单位】：浙江工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09

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