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Utilizing the Correlation between Query Keywords for Information Retrieval

机译:利用查询关键词之间的相关性进行信息检索

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This paper proposes a method to utilize the correlation between query keywords in information retrieval toward extrapolating their semantic information. In accordance with the rapid development of internet and WWW (World Wide Web), it has been getting more and more hard to pinpoint the appropriate document from the huge information resource. Various search engines have been developed to retrieve the appropriate information based on the keywords, however, it is hard for the user to specify the keywords enough to pinpoint the appropriate documents. Since there often exist some semantic correlation between the keywords, this paper proposes to finding out the another keyword by utilizing their semantic correlation in order to narrow the scope of seach. Experiments were carried out to investigate the effectiveness of the proposed method and the result hinted the effectiveness of our approach as a pre-processing to narrow the scope of search for search engines.
机译:本文提出了一种利用信息检索中查询关键词之间的相关性来推断其语义信息的方法。随着互联网和WWW(万维网)的飞速发展,从庞大的信息资源中找到合适的文档变得越来越困难。已经开发了各种搜索引擎来基于关键字来检索适当的信息,但是,用户很难指定足够的关键词来精确定位适当的文档。由于关键词之间常常存在某种语义上的相关性,因此本文提出利用它们的语义上的相关性来找出另一个关键词,以缩小搜索范围。通过实验研究了该方法的有效性,结果表明了该方法作为预处理的有效性,从而缩小了搜索引擎的搜索范围。

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