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AN EFFECTIVE FUZZY WAY TO DOCUMENT RETRIEVAL

机译:文献检索的有效模糊方法

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摘要

With the rapid development of the Internet, more and more information trash is engendered when people retrieve documents. In this paper, we try to establish an effective method to get some improvements by applying fuzzy theory to thesaurus construction. It stems from the normal keyword-based information retrieval method and adopts three new strategies. By surveying these three strategies, we find that building a synonym thesaurus is the most important task. In addition, we encounter another crucial problem in developing the document retrieval method. Very often there are several modifiers for a keyword in the given query, of which appropriate modifiers for the keyword should be recognized correctly. To solve this problem we ourselves develop and embed a new Parser module in the proposed document retrieval method. A simple experiment is conducted in terms of all strategies described above. The experiment result shows that the proposed fuzzy document retrieval method is comparatively effective.
机译:随着Internet的飞速发展,人们检索文档时会产生越来越多的信息垃圾。在本文中,我们试图通过将模糊理论应用于叙词表构建来建立一种有效的方法来进行一些改进。它源于基于常规关键字的信息检索方法,并采用了三种新策略。通过研究这三种策略,我们发现建立同义词库是最重要的任务。另外,我们在开发文档检索方法时遇到另一个关键问题。在给定查询中,关键字通常有多个修饰符,其中关键字的适当修饰符应正确识别。为了解决这个问题,我们自己开发并在提出的文档检索方法中嵌入了一个新的Parser模块。根据上述所有策略进行了简单的实验。实验结果表明,所提出的模糊文档检索方法是比较有效的。

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