Web2.0环境下网络信息检索模式研究

【作者】 闫晓妍；

【导师】 金燕；

【作者基本信息】 郑州大学 ， 情报学， 2009， 硕士

【摘要】 因特网的迅速发展使丰富的信息资源得以聚集和共享,同时也给信息检索带来了挑战。各类搜索引擎不断改进,但检索效率仍不尽如人意。Web2.0的出现掀起了互联网应用的革命,长尾理论取代80/20法则成为了指导互联网发展的理论基础。以博客、RSS、维基、标签等为代表的新技术与应用的出现不仅带来了网络产业的升级,也给传统网络信息检索模式带来了巨大冲击。Web2.0在许多方面与Web1.0有着很大的不同,更注重和强调“以用户为中心”的概念。笔者认为,顺应Web2.0网络环境的变化,网络信息检索方式也应随之产生相应的变化,具有个性化、互动、语义等特征的网络信息检索体现了互联网发展的内在趋势。本文从Web2.0的概念、特征、典型应用入手,分析2.0时代信息资源、信息交流和用户需求等因素的变化,提出传统网络信息检索方式存在的问题,探讨Web2.0网络信息检索模式变化的根本原因。在此基础上,研究Web2.0环境下网络信息检索模式的变化趋势,将一些典型的Web2.0技术与本体、知识检索等信息检索理论和技术结合,通过用户的参与、互动,达到提高检索效率和质量的目的。对有代表性的信息检索模式进行研究,如基于Tag的图像信息检索、基于RSS的个性化信息检索、基于语义Wiki的知识检索等,并进行实例分析,最后与1.0环境下的信息检索模式进行了比较,指出其优势与不足。更多还原

【Abstract】 With the rich information resources collected and shared, Internet brings challenges to information retrieval. Though Search Engines have continually been improved, people have not satisfied the efficiency of retrieval. A new Internet revolution has been coming to us due to the out coming of Web2.0 in which Long Tail theory has replaced the status of 80/20 rule as the basic principle of the advance of Internet Business. The appearances and using of new technologies of Web2.0 such as Blog, RSS, Wiki, Tags, not merely brought the upgrading of the industry of the network, have brought enormous impact to old information retrieval. As to Web2.0, it has a lot of divergence with Web1.0. For instance, Web2.0 focuses on the concept of "everything based on user". In my view, the pattern of Internet Retrieval should make a change according to the environment of internet has changed a lot. The information retrieval with personalization, interaction, semantic characteristics reflected the inherent trends of Internet.Firstly, the paper gives an overview about Web2.0 from the concept, characteristics, and the major application, analyses its change in the area of information resource, the way of communication and the user’s need. Then it points out the problem of old information retrieval, and discusses the reason why information retrieval in the context of Web2.0 should be changed. On this basis, the paper discusses the trend of information retrieval in the context of Web2.0. The main part of this paper analyses the information retrieval mode in Web2.0. It combines new technologies of Web2.0 with traditional information retrieval in order to improve efficiency and quality of information retrieval, by users’ participating. It analyses some representative retrieval modes, and states some application examples, such as picture retrieval based on Tag, personalization information retrieval based on RSS, knowledge retrieval based on semantic Wiki. Finally, the paper compares them with traditional information retrieval under Web1.0 environment, and points out the superiority and insufficiency.更多还原