节点文献

基于粗糙集理论的智能信息检索方法的研究

Research on Intelligent Information Retrieval Based on Rough Set Theory

【作者】 邱春艳

【导师】 孙铁利;

【作者基本信息】 东北师范大学 , 计算机软件与理论, 2005, 硕士

【摘要】 信息检索是一种“人找信息”的信息服务形态,它们要求用户提交查询关键词来查找与之匹配的信息,当网络规模越来越大,信息越来越多时,信息的查找和获取也就变得越来越困难。如何迅速、高效地检索和访问各领域的信息资源以促进信息的交流与共享就成为了信息检索领域的研究重点。为此,一方面要研究如何利用人工智能的技术处理文本信息;另一方面要研究如何表示用户兴趣和优化用户兴趣查询以及智能化地处理用户与检索系统的交互等。本文研究基于粗糙集理论的智能信息检索方法,主要讨论文本信息检索的处理技术和优化用户查询以便提高用户查询质量。本文提出一种基于粗糙集理论的文本检索优化方法。利用粗糙集理论中的上近似、下近似和粗包含对文档集和查询进行优化处理。本文给出用户查询优化算法。首先对用户查询进行优化之后进行查询匹配,将结果按其与用户查询相似度高低的顺序返回,使用户获得与其兴趣最接近的查询结果。本文以中文文档为研究对象,对文本检索优化方法进行了实验研究,结果表明该方法对于文本信息检索是有效的。

【Abstract】 The information retrieve is a kind of information service form of "the person seeks theinformation". They request the user to hand over keywords to check information for match.The network information search and obtainment also become more and more difficultbecause the network scale is more and more large and the information is more andmore .rich How quick and efficiently retrieval and visit information resource of all kindsfields in order to promote exchanges and share of information turn into a researchemphases on the respect of information retrieval. On the one hand, we study how to use thetechnique of artificial intelligence to process text information, on the other hand, we studyhow to express user’s interesting and optimize user interesting query and hand overinteraction intelligently between user and retrieval system etc. This dissertation studies the method of intelligent information retrieval based onrough theory. Therefore, our main discussion is the technique of text information retrievaland the method of optimization of user query vector. This paper gives an optimizing method of the text index based on Rough Set. It usesUpper, Lower Approximation and rough including of the Rough Set to optimize query anddocuments. This paper introduces an algorithm by optimizing user query vector. Firstly, itoptimizes user’s query, and then uses the query to index and match. Finally, returns thequery results in the descending of similarity of between documents and queries. The text,which uses Chinese text as research object, carries on experiment research by optimizedmethod in the text retrieval. The result expresses that the method is valid for the textinformation retrieval.

  • 【分类号】TP391.3
  • 【被引频次】1
  • 【下载频次】228
节点文献中: 

本文链接的文献网络图示:

本文的引文网络