利用超链接文本提高基于维基百科的文档主题识别质量

2009 International Conference on Knowledge and Systems Engineering Pub Date : 2009-10-13 DOI:10.1109/KSE.2009.20

Dat T. Huynh, T. Cao, P. H. Pham, Toan N. Hoang

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引用次数: 10

摘要

提出了一种基于维基百科分类网络的文档主题识别方法。它是对Schonhofen之前提出的方法进行改进，考虑了维基百科文章中超链接文本中单词的权重。在计算和团队运动领域进行的实验表明，我们的方法优于Schonhofen的方法。

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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Using Hyperlink Texts to Improve Quality of Identifying Document Topics Based on Wikipedia

This paper presents a method to identify the topics of documents based on Wikipedia category network. It is to improve the method previously proposed by Schonhofen by taking into account the weights of words in hyperlink texts in Wikipedia articles. The experiments on Computing and Team Sport domains have been carried out and showed that our proposed method outperforms the Schonhofen’s one.

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来源期刊

2009 International Conference on Knowledge and Systems Engineering

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