Knowledge-management system development by induction rules

被引：0

作者：

Bevanda, V

Markic, M.

Tomic, D.

机构：

来源：

Annals of DAAAM for 2003 & Proceedings of the 14th International DAAAM Symposium: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON RECONSTRUCTION AND DEVELOPMENT | 2003年

关键词：

knowledge-management system; ontology; ontology acquisition; data mining; classification;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Knowledge-management systems use ontology to represent formal, explicit specification of a business domain. Ontology provides share domain models, which are understandable to both human being and machines. This article explores possibilities of data mining techniques to support the knowledge-management system development. We applied modified ID3 algorithm to domain-relevant data and induced the most informative attributes and rules to enhance and refine the ontology acquisition process.

引用

页码：41 / 42

页数：2