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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 is more and more applied to the field of engineering, especially the problem of process design, the traditional CBR system lacks semantic comprehension, which seriously hinders the CBR system’s intelligence in CAPP (Computer Aided Process Planning) Sexual development. In order to further improve the intelligence of CBR system, the integration of ontology technology into CBR system is a trend. Taking the case database of technology as an example, this paper studies the construction technology based on ontology instance database and the similarity algorithm of case retrieval, and proposes a new semantic similarity algorithm called W-IC-CD (Weighted Information Content and Concept Distance). Through the application of mechanical CAPP analysis, the effectiveness of this algorithm is verified.