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›› 2003, Vol. 29 ›› Issue (11): 95-97.

• 论文 • 上一篇    下一篇

基于本体实现对网页文本的自动主题分类

刘娇蛟,龚丽,李建华   

  1. 上海交通大学电子工程系,上海交通大学电子工程系,上海交通大学电子工程系 上海 200030

Automatic Topic Classification of Web Texts Using Ontology

LIU Jiaojao, GONG Li,LI Jianhua   

  1. (Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 20 0030)

摘要: 提出了一种实现对中文网页进行自动分类的平衡差值法,它利用本体中主题概念 的层次结构和主题词?特征项的各种语义关系,降低了分类算法的复杂性和计算量?试验表 明,该方法可以获得85%以上的网页分类准确率?

关键词: 本体, 主题识别, 语义, 层次结构

Abstract: With the explosion of the information on Internet, automatically cla ssifying Web pages is becoming an important problem that information retrieval a nd information search have to be faced. This paper proposes a balance difference algorithm, which uses the semantic relations between topic words, feature items and utilizes the hierarchical structure of the ontology concepts to reduce the complexity and computation of the classification of Chinese Web pages. Experimen ts have proved that this method can get 85% precision at least.

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