期刊文献+

基于本体实现对网页文本的自动主题分类 被引量:15

Automatic Topic Classification of Web Texts Using Ontology
下载PDF
导出
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? 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.
出处 《计算机工程》 CAS CSCD 北大核心 2003年第11期95-97,共3页 Computer Engineering
关键词 本体 主题识别 语义 层次结构 Ontology Topic identification Semantic Hierarchical structure
  • 相关文献

参考文献8

  • 1朱靖波,姚天顺.基于FIFA算法的文本分类[J].中文信息学报,2002,16(3):20-26. 被引量:14
  • 2邢平平,施鹏飞,赵奕.基于本体论的数据挖掘方法[J].计算机工程,2001,27(5):15-16. 被引量:32
  • 3Lin C Y. Knowledge-based Automatic Topic Identification. In the Proceeding of the 33rd Annual Meeting of the Association for Computational Linguistics95, 1995.
  • 4Gelbukh A, Sidorov G, Guzman A. A Method of Describing Document Contents Through Topic Selection. In Proc.of International Symposium on String Processing and Information Retrieval, Cancun, Mexico.Library of Congress 99-64139, IEEE Computer Society Press, 1999.
  • 5Chekuri C, Goldwasser M H, Raghavan P, et al. Web Search Using Automated Classification. Poster at the Sixth International World Wide Web Conference (WWW6), 1997.
  • 6Guarino N,Giaretta P. Ontology an Knowledge Bases Towards a Terminological Clarification. Towards Very Large Knowledge Bases----Knowledge Building and Knowledge Sharing, ISO Press, 1995:25-32.
  • 7Go Mez-Pe rez A, Corcho O. Ontology Languages for the Semantic Web. IEEE Intelligent Systems, 2002,17(1):54-60.
  • 8Maedche A, Staab S. Ontology Learning for the Semantic Web. IEEE Intelligent Systems, 2001,6(2): 72-76.

二级参考文献2

共引文献44

同被引文献125

引证文献15

二级引证文献66

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部