基于领域本体实现Web文本挖掘研究

阮光册

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图书情报工作 ›› 2011, Vol. 55 ›› Issue (18) : 116-120.

知识组织

基于领域本体实现Web文本挖掘研究

阮光册

作者信息 +

Research on Web Text Mining Based on Ontology

Ruan Guangce

Author information +

文章历史 +

摘要

为弥补改进传统Web文本挖掘方法缺乏对文本语义理解的不足，采用本体与Web文本挖掘相结合的方法，探讨基于领域本体的Web文本挖掘方法。首先创建Web文本的本体结构，然后引入领域本体“概念-概念”相似度矩阵，并就概念间关系识别进行描述，最后给出Web文本挖掘的实现方法，发现Web文本信息的内涵。实验中以网络媒体报道为例，通过文本挖掘得出相关结论。

Abstract

The paper improved the traditional web text mining technology which can not understand the text semantics. The author discusses the web text mining methods based on the ontology,and sets up the web ontology structure at first, then introduces the “concept-concept” similarity matrix, and describs the relations among the concepts; puts forward the web text mining method at last. Based on text mining, the paper can find the potential information from the web pages. Finally, the author did a case study and drew some conclusion..

导出引用

阮光册. 基于领域本体实现Web文本挖掘研究[J]. 图书情报工作, 2011, 55(18): 116-120

Ruan Guangce. Research on Web Text Mining Based on Ontology[J]. Library and Information Service, 2011, 55(18): 116-120

参考文献

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