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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Construction and Application of Knowledge Graph for Urban Rail Fire Accident


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liang, Jianying (editor) / Jia, Limin (editor) / Qin, Yong (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Chen, Fei (author) / Yan, Han (author) / Ma, Xiaoping (author) / Wang, Yanhui (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021



    Publication date :

    2022-02-19


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Construction and Application of Knowledge Graph for Urban Rail Fire Accident

    Chen, Fei / Yan, Han / Ma, Xiaoping et al. | TIBKAT | 2022


    Construction and Application of Knowledge Graph for Urban Rail Fire Accident

    Chen, Fei / Yan, Han / Ma, Xiaoping et al. | British Library Conference Proceedings | 2022


    Knowledge Graph Construction for Railway Electrical Accident Analysis

    Wang, Xiaohong / Wang, Jingyang / Han, Jiao | IEEE | 2019



    Knowledge Modeling and Analysis for Railway Fire Accident Using Ontology-Based Knowledge Graph

    Yan, Han / Ma, Xiaoping / Chen, Fei et al. | Springer Verlag | 2022