机械科学与技术2017，Vol.36Issue(4)：579-585,7.DOI:10.13433/j.cnki.1003-8728.2017.0414
集成本体和CBR的数据挖掘建模技术及其在工艺规划中应用研究
Data Mining Modeling and its Application in CAPP by Integrating Ontology and CBR
摘要
Abstract
While data mining technology is applied to solve the knowledge acquisition of intelligent CAPP (Computer aided process planning) system,a serious problem is faced that it is hard for common users to use data mining.In order to overcome the problem,a method of data mining modeling by integrating ontology and CBR to control the data mining process intelligently is proposed.Firstly,a case base for data mining of process planning is built based on the ontological semantics;secondly,a reasoning mechanism in type of semantic understanding is established,as well as comprehensive evaluation and modification technique for data mining case is discussed.At lastly,the process planning of a typical mechanical part is taken for an example to test the present method.The experiments show that present method breaks the limit of traditional data mining,which has to be executed through the collaboration of domain experts and knowledge engineers,and is able to execute intelligent data mining.As a result,the threshold of its application is dramatically reduced.关键词
数据挖掘建模/工艺规划/本体/CBRKey words
data mining modelling/process planning/ontology/case based reasoning分类
机械制造引用本文复制引用
郭渊,周敬勇..集成本体和CBR的数据挖掘建模技术及其在工艺规划中应用研究[J].机械科学与技术,2017,36(4):579-585,7.基金项目
安徽高校自然科学基金重点项目(KJ2017A538)与中国博士后基金项目(2015M571920)资助 （KJ2017A538）
