Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base (KDK)

Yang Bingru、 Shen Jiangtao、 Chen Hongjie

Strategic Study of CAE ›› 2003, Vol. 5 ›› Issue (6) : 49-54.

PDF(3733 KB)
PDF(3733 KB)
Strategic Study of CAE ›› 2003, Vol. 5 ›› Issue (6) : 49-54.
Academic Papers

Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base (KDK)

  • Yang Bingru、 Shen Jiangtao、 Chen Hongjie

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Abstract

Knowledge discovery in knowledge base (KDK) is a brand-new task. Its success will directly act on the construction of large knowledge base, and, at present, it is important to the solving of the bottleneck of machine study—discovering knowledge. The main work of this paper is: The inductive structure of KDK based on the facts in knowledge base, and its algorithm and experimental verification; The inductive structure algorithm of KDK for the rules in knowledge base and its experimental verification.

Keywords

knowledge discovery based on knowledge base / induction logic of Carnap / induction logic of L. J. Cohen / evaluation of hypothesis

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Yang Bingru,Shen Jiangtao,Chen Hongjie. Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base (KDK). Strategic Study of CAE, 2003, 5(6): 49‒54
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