AUTOMATIC DOMAIN ONTOLOGY GENERATION FROM WEB SITES

被引：0
|
作者：
Wong, Tak-Lam [1 ]
Lam, Wai [1 ]
Chen, Enhong [2 ]
机构：
[1] Chinese Univ Hong Kong, Dept Syst Engn & Engn Management, Shatin, Hong Kong, Peoples R China
[2] Univ Sci & Technol China, Dept Comp Sci & Technol, Hefei 230027, Anhui, Peoples R China
来源：
JOURNAL OF INTEGRATED DESIGN & PROCESS SCIENCE | 2005年 / 9卷 / 03期
关键词：
ontology mining; Web mining; semantic Web;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Ontology plays an important role in semantic Web technology since it can effectively represent the domain knowledge. We develop a novel framework for automatically generating the domain knowledge by analyzing different Web sites in a given domain. The idea of our approach is to consider two kinds of information from the Web sites. The first kind of information is the text fragments corresponding to the concepts in the ontology. The other kind of information is the header labels corresponding to the concepts. We design a method for generating the domain ontology by measuring the similarity between the concepts in different Web sites. We have conducted extensive experiments to demonstrate the effectiveness of our approach.
引用
收藏
页码：29 / 38
页数：10
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