Urban rail is closely related to every aspect of people's life, but in some aspects of safety prevention and control lack of scientific and reasonable technical means. These defects lead to problems such as lack of initiative in urban rail safety prevention and control, and pertinence in daily hidden trouble investigation and unclear risk identification. To solve the above problems, this paper proposes a method to construct the knowledge graph for urban rail fire accidents. First, the schema layer of the knowledge graph of urban rail accidents is constructed with the help of ontological thinking. Second, the risk identification method and the entity extraction method based on rules and character rules are used to identify named entities. Finally, the named entities are stored in the graph database Neo4j according to the triple relationship. On this basis, the application analysis based on the knowledge graph of urban rail fire accident is proposed in order to realize the active prevention and control, the risk level management, prediction and reasoning. Application example analysis shows that urban rail accident knowledge graph constructing method is scientific and reasonable, and it can be used to provide security of urban rail operation related semantic search, intelligent question-and-answer support, accurate expression and graphical results show. It is proved that the knowledge graph is helpful to provide decision support for urban rail safety management.
Construction and Application of Knowledge Graph for Urban Rail Fire Accident
Lect. Notes Electrical Eng.
International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021
Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021 ; Chapter : 58 ; 558-572
2022-02-19
15 pages
Article/Chapter (Book)
Electronic Resource
English
Construction and Application of Knowledge Graph for Urban Rail Fire Accident
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