计算机工程

• 开发研究与设计技术 • 上一篇    下一篇

基于本体的矿井电机故障知识库构建

王 志1,夏士雄1,牛 强1,李连习2   

  1. (1. 中国矿业大学计算机科学与技术学院,徐州 221116;2. 山东科威达信息科技有限公司,济宁 272100)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-05-20 发布日期:2010-05-20

Construction of Ontology-based Mine-motor Fault Knowledge Base

WANG Zhi1, XIA Shi-xiong1, NIU Qiang1, LI Lian-xi2   

  1. (1. School of Computer Science & Technology, China University of Mining and Technology, Xuzhou 221116;
    2. Shandong Keweida Information Technology Co., Ltd., Jining 272100)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-05-20 Published:2010-05-20

摘要: 针对传统电机故障知识表示方法存在的不足,分析矿井电机故障知识,采用知识工程和本体的相关理论构建矿井电机故障知识领域本体,给出基于本体和规则推理的电机故障知识库模型。测试结果表明,该方法能有效表示电机故障知识之间的语义关系,提高电机故障知识的复用性。

关键词: 本体, 故障, 知识库, 规则推理, Web本体语言

Abstract: To make up the insufficiency of traditional motor fault knowledge representative methods, related theories of knowledge engineering and ontology are adopted to build domain ontology of mine-motor fault knowledge by analyzing mine-motor fault knowledge, and a knowledge base model is built based on ontology and rule-based reasoning. Tests results show that the method concluded in this paper can effectively represent the semantic relationships among motor fault knowledge and improve the motor fault knowledge reusability.

Key words: ontology, fault, knowledge base, rule-based reasoning, Web Ontology Language(OWL)

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