Ontology-based semantic similarity computation for maintenance CBR
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摘要: 案例推理(CBR,Case-Based Reasoning)方法基于历史经验对新问题进行求解,适于飞机维修保障的知识表达和应用.针对飞机维修保障过程中涉及故障记录、诊断分析、维修处理等诸多方面和专业的特点,对相关信息和专业知识的分类方式及相互关系进行了讨论,给出维修保障领域知识和案例知识定义.通过面向对象分析方法建立了产品、故障模式、故障原因和数据字典等领域知识的本体模型,实现知识的一致性描述;重点对案例本体构建和检索进行了研究,基于领域本体结构的深度和出度计算案例特征的语义相似性,给出维修保障案例匹配方法,在此基础上开发了飞机维修保障知识管理系统并给出应用实例.Abstract: CBR(case-based reasoning) finds solutions for new problems based on previous experience. It is suitable for such applications as aircraft maintenance knowledge acquisition, representation and reuse. With consideration of some special characteristics of aviation maintenance, such as spot recording, reliability analysis and fault disposal, firstly the classification and the relationship of the relevant maintenance knowledge and information were investigated, and then the definitions of domain knowledge and case knowledge of maintenance were provided. Ontology models for product structure, maintenance inventory, failure mode, failure causation, and data dictionary were developed and the consistency in the knowledge description was realized. The case model architecture and retrieval technique were studied in detail, and an ontology-based semantic similarity computation method was proposed and applied to maintenance case recall and match. The method combined the depth and out-degree as two main influences for the similarity of concept model. Finally, an aircraft maintenance knowledge management system was developed. An application example shows that the method can benefit the aircraft maintenance.
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Key words:
- case-based reasoning /
- ontology /
- domain ontology /
- semantic similarity /
- maintenance
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