多域融合的高速列车维修性设计知识图谱构建

为了实现非结构化高速列车多域数据的知识抽取、融合及结构化存储，研究了多域数据融合的高速列车维修性设计知识图谱构建方法，详细分析了高速列车维修性设计知识图谱模式层本体模型概念要素组成、数据层构建及知识融合过程，展示了基于Neo4j图数据库开发的转向架知识图谱平台及知识检索系统。所研究的知识图谱构建技术不仅有效地实现了高速列车领域多源、多域数据知识的融合，还能很好地辅助设计人员进行产品可维修性设计，提高产品质量。

Construction of Knowledge Graph of Maintainability Design Based on Multi-domain Fusion of High-speed Trains

 In order to realize the knowledge extraction, knowledge fusion and structured storage of unstructured high-speed trains multi-domain data, the construction method of high-speed trains maintainability design knowledge graph was studied based on multi-domain data fusion. The ontology concept elements of model layer, the processes of the construction of the data layer and the knowledge fusion of high-speed trains maintainability design knowledge graph were analyzed closely, the bogie knowledge graph platform and the knowledge retrieval system were displayed based on Neo4j graph database. The knowledge graph construction technology studied may extract and integrate knowledge from multi-source and multi-domain data in the field of high-speed trains, assist designers in product maintainability design and improve product quality.