Index Weighting Based on the Weight of the Index of Each Tag

Hyejin Jeong
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引用次数: 1

Abstract

There is a study in progress that extracts an index using the structure and contents of a document for achieving more effective index extraction and index weighting. Most studies calculate the relevance of the context and determine the index according to the weights of each tag. But, these previous studies are determining the relevance according to simple parameters from general theory, rather than proving relevance via objective experiments. This study classifies a thesis in which the main paragraphs were converted into XML, via XML structural information, and proposes a technique that determines the weight of the final index while updating the weight of the index according to the weight of terms, subsequent to calculating the weight for the term in each paragraph.
索引权重基于每个标签的索引权重
目前正在进行一项研究,使用文档的结构和内容提取索引,以实现更有效的索引提取和索引加权。大多数研究计算上下文的相关性,并根据每个标签的权重确定索引。但是,这些以往的研究都是根据一般理论的简单参数来确定相关性,而不是通过客观的实验来证明相关性。本研究通过XML结构信息对一篇主要段落转换为XML的论文进行分类,提出了一种确定最终索引权重的技术,同时根据词的权重更新索引权重,然后计算每个段落中词的权重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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