集成本体的CBR算法及在CAPP应用

Research on CBR Algorithm Based on Ontology and Its Application to CAPP

虽然CBR(Case-based Reasoning)技术越来越深入地应用到工程领域特别是工艺设计问题,但是传统的CBR系统缺乏语义理解能力,这严重阻碍了CBR系统在CAPP(Computer Aided Process Planning)领域智能性发展。为了进一步提高CBR系统的智能性,本体技术集成到CBR系统是一种趋势。以工艺事例库为例,研究了基于本体事例库的构建技术以及事例检索的相似度算法,并提出了一个新的语义相似度算法即W-IC-CD(Weighted Information Content and Concept Distance)。通过在机械CAPP应用分析,证实了该算法的有效性。

Although CBR （Case-based Reasoning） technology was more and more applied to the engineering field, especially CAPP（ Computer Aided Process Planning）, traditional CBR system which lacked semantic understand- ing seriously hindered the development of CBR system intelligence in the field of CAPP. In order to further improve the intelligence of CBR systems, it becomes trend that ontology technology will be integrated into CBR system. Taking the process case library for example, this paper mainly focused on the ontology case library building technology and case similarity calculation for the integrated system. And then, a new semantic similarity algorithm called W-IC-CD （Weighted Information Content and Concept Distance） was proposed. Finally, through CAPP experimental analysis, the validity of this algorithm was confirmed.