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Conceptual Information Retrieval System Based on Automatically Constructed Semantic Word Network

机译:基于自动构造语义词网的概念信息检索系统

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This chapter describes a method to dynamically generate a semantic word network which can properly reflect the semantic status. A conceptual information retrieval system based on the method is also described. The method started with the determination of keywords in a textbase. can then be clustered using analysis methods. For each cluster of keywords, the hierarchical and sibling interrelationships then are statistically inferred, so that the semantic word network can be dynamically established. The method can be formed as a module in concept information retrieval (IR) system. The query expansion function can be implemented with the module, so that the recall and precision of query result can be improved.
机译:本章介绍了一种动态生成语义词网络的方法,该网络可以正确反映语义状态。还描述了基于该方法的概念信息检索系统。该方法从确定文本库中的关键字开始。然后可以使用分析方法进行聚类。然后,对于每个关键词簇,统计地推断出等级和兄弟之间的相互关系,从而可以动态地建立语义词网络。该方法可以形成为概念信息检索(IR)系统中的模块。该模块可以实现查询扩展功能,可以提高查询结果的查全率和查准率。

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