服务搜索引擎中基于关键字的检索子系统的设计与实现

发布时间：2018-04-24 07:10

本文选题：服务搜索 + Web服务　；参考：《北京邮电大学》2013年硕士论文

【摘要】：Web Service技术,以其跨平台性、自描述性、模块化、跨防火墙的优点,在互联网领域迅速发展。随着传统的基于UDDI的Web服务发现模式逐渐淡出人们视线,如何搜索和管理这些Internet上的Web服务、并为广大的用户提供一个服务组合平台就成为一个具有重要现实意义与理论价值的研究问题。垂直搜索引擎,通常是对通用搜索引擎市场的扩展细分,通过深度整合某个知识领域内网络中的信息资源来为用户提供精细、专业、高质量的信息检索服务。Web服务搜索引擎的方式因其满足了Web服务发现的根本需求以及符合当前互联网技术发展趋势,对推动Web Service技术发展提供了巨大动力。本文针对上述问题,提出了Web服务搜索引擎系统中服务检索子系统的研究目标并设计实现了原型系统。该子系统针对Web Service特点,通过对不同服务特征值抽取的方法实现了对服务相似度进行精准计算的算法,并且结合Web服务的QoS信息和用户数据分析,通过一定的算法得出满足用户检索需求的特定Web服务集合。通过与原有的目录式Web Service查找方法的对比,说明了Web服务搜索引擎系统在满足用户查找所需要的Web服务的需求同时,在服务查询方式,服务发现途径,服务结果细节浏览方面更加的灵活多样,基本满足了用户对Web Service搜索的个性化需求。本文第一章介绍了Web服务搜索引擎的研究背景意义和论文主要工作。第二章简要阐述了国内外研究现状和服务搜索引擎总体情况,并介绍了本文所涉及的相关理论和相关技术。接下来,第三章对Web服务搜索引擎检索子系统进行了需求分析,详细说明了主要的技术指标。第四章介绍了检索子系统中使用到的关键技术。第五章根据功能模块的划分,详细介绍了检索子系统的各个部分的框架设计以及实现细节,模块划分包括信息综合、相似度排序、QoS采集、用户行为分析和排序核心模块。第六章描述了测试部署环境,以及主要测试用例。文章最后对全文进行了简要总结,并对下一步工作进行了展望。
[Abstract]:Web Service technology, with its advantages of cross-platform, self-description, modularization and cross-firewall, has developed rapidly in the field of Internet. With the traditional Web service discovery mode based on UDDI fading out of sight, how to search and manage these Web services on Internet, And to provide a service composition platform for the vast number of users has become a research issue of important practical significance and theoretical value. Vertical search engines, usually extended segments of the generic search engine market, provide users with sophisticated, professional information resources through deep integration of information resources in the network within a domain of knowledge. The high quality information retrieval service. The way of web service search engine, because it meets the basic demand of Web service discovery and accords with the current trend of Internet technology development, provides a huge power to promote the development of Web Service technology. In order to solve the above problems, this paper puts forward the research goal of service retrieval subsystem in Web service search engine system and designs and implements the prototype system. According to the characteristics of Web Service, this subsystem realizes the algorithm of accurate calculation of service similarity by extracting different service eigenvalues, and combines QoS information of Web service and user data analysis. A specific set of Web services to meet the user's retrieval requirements is obtained by a certain algorithm. By comparing with the original directory Web Service search method, this paper shows that the Web service search engine system not only meets the needs of the users to find the Web services, but also the way of service query and service discovery. The service result details browse aspect is more flexible and diverse, basically satisfied the user to the Web Service search personalized demand. The first chapter introduces the research background and main work of Web services search engine. The second chapter briefly describes the domestic and foreign research situation and the general situation of the service search engine, and introduces the related theory and technology involved in this paper. Then, the third chapter analyzes the requirements of Web service search engine retrieval subsystem, and explains the main technical indicators in detail. The fourth chapter introduces the key technologies used in the retrieval subsystem. In the fifth chapter, according to the partition of functional modules, the framework design and implementation details of each part of the retrieval subsystem are introduced in detail. The module partition includes information synthesis, similarity ranking, QoS collection, user behavior analysis and sorting core module. Chapter 6 describes the test deployment environment and the main test cases. At the end of the paper, a brief summary of the full text is given, and the future work is prospected.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP391.3;TP393.09

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