摘要
提出了基于本体的案例检索及相似性评估方法和基于本体的案例适配模型,使得CBR(case-based rea-soning)系统的开发可在语义层次上进行相似性评估和案例适配,这样得到的结果更能反映用户的真实需求;并且CBR所需要的领域知识可从本体中获取,大大降低了传统CBR系统中知识获取的瓶颈。最后在此基础上,提出了基于本体的CBR系统模型框架,从软件复用的角度提高了CBR系统的开发效率。
This paper proposed case retrieval and similarity assessment using ontology and presented a case adaptation model based on ontology, which made the CBR system could be developed in the semantic level for similarity assessment and ease ad- aptation. The result met the needs of users better. Moreover, ontology allowed the knowledge engineer to use knowledge already acquired, reducing considerably the knowledge acquisition bottleneck. Finally, proposed a framework developing CBR applications based on ontology, which improved the efficiency of development from the perspective of software reuse.
出处
《计算机应用研究》
CSCD
北大核心
2009年第4期1422-1424,1431,共4页
Application Research of Computers
基金
山西省自然科学基金资助项目(20051035)
关键词
本体
案例推理
语义相似性
案例适配
模型
ontology
CBR( case-based reasoning)
semantic similarity
case adaptation
model