The operating data independent collection and analysis of high-speed train′s equipment have the problems of massive data redundancy and inconsistent data structure,and can′t fuse the multi-source heterogeneous data. The automatic con-struction process of the knowledge mapping of the high-speed rail industry and mapping matching mechanism between ontology and knowledge mapping are explored. The OWL is used to model the ontology of the host computer of the high-speed train′s equipment detection system. The practice results prove that the intelligent maintenance for ontology framework of high-speed train′s equipment detection system is the key to guarantee the normal operation of the system. The ontology technology and knowledge mapping can solve the problems of data heterogeneity and data redundancy,and perform the intelligent ontology main-tenance for the vehicle′s equipment detection platform.%为了解决高铁机车设备运行数据的独立采集与分析造成大量数据冗余以及数据结构不一致、多源异构数据不能融合等问题.探索高铁动车行业知识图谱的自动化构建过程以及本体和知识图谱之间映射匹配机制,采用本体建模语言OWL,对高速铁路列车设备检测系统的上位机进行本体建模.实践证明高铁动车设备检测系统中本体框架的智能化维护是保证系统能正常运行的关键,利用本体技术和知识图谱解决数据异构和数据冗余的问题以及对车辆检测设备平台进行智能化本体维护.
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