(太原理工大学 计算机与软件学院, 太原 030024)
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 reasoning)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。
Research of case-based reasoning model based on ontology
XIE Hong-wei, LI Jian-wei
(College of Computer Engineering & Software, Taiyuan University of Technology, Taiyuan 030024, China)
Abstract: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 case adaptation. 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.
Key words:ontology; CBR(case-based reasoning); semantic similarity; case adaptation; model ......