Web data mining and reasoning model

被引：0
|
作者：
Li, YF [1 ]
Zhong, N
机构：
[1] Univ Queensland, Sch Software Engn & Data Commun, St Lucia, Qld 4067, Australia
[2] Maebashi Inst Technol, Dept Syst & Informat Engn, Maebashi, Gumma, Japan
来源：
AI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2004年 / 3339卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is indubitable that we can obtain numerous discovered patterns using a Web mining model. However, there are many meaningless patterns, and also some discovered patterns might include uncertainties as well. Therefore, the difficult problem is how to utilize and maintain the discovered patterns for the effectiveness of using the Web data. This paper presents a Web data mining and reasoning model for this problem. The objective of mining is automatic ontology extraction; whereas, the objective of reasoning is the utilization and maintenance of discovered knowledge on the ontology. The model also deals with pattern evolution.
引用
收藏
页码：1128 / 1134
页数：7
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