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Measures of Concentration and Distribution of Knowledge Contained in Documents

机译:文件所含知识的集中和分配措施

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摘要

An important parameter characterizing a document is the degree of knowledge concentration and distribution contained in it. This work describes and illustrates through examples the intuition that is connected with these notions. Next, measures of knowledge concentration and distribution are defined, and their characteristics are analyzed. To calculate concentration and distribution one uses the description of the contains of documents with the help of terms and their weights. Measures of concentration and distribution can be used in information retrieval systems as an additional parameter which helps the user to evaluate document relevance. Discussing the direction of further research we called attention to the necessity and possibility of solving the problem of term dependence.
机译:表征文档的一个重要参数是其中包含的知识集中程度和分布程度。这项工作通过示例描述和说明了与这些概念有关的直觉。接下来,定义知识集中和分布的度量,并分析其特征。为了计算浓度和分布,可以在术语及其权重的帮助下使用文件包含的描述。集中度和分布度的度量可以在信息检索系统中用作附加参数,以帮助用户评估文档的相关性。在讨论进一步研究的方向时,我们呼吁注意解决术语依赖问题的必要性和可能性。

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