As a typical scene of railway accidents, railway fire hazard will lead to heavy losses and serious social impact once it happens. However, there are many factors causing the disaster of railway fire and the coupling relationship among the factors is complicated. Therefore, an ontology-based knowledge graph construction and analysis method is proposed. First, based on FAR accident data of American railways, the construction method of railway accident ontology and its relationship is studied, and the pattern layer of railway accident knowledge graph is established. Second, the correlation and importance analysis methods of railway fire accidents are studied, combining with the causative mechanism of fire accidents, a multi-dimensional fusion model is established to extract the fire entities. Third, Neo4j is used to construct the knowledge graph of railway fire accidents. Finally, the railway fire accident knowledge graph constructed in this paper is applied and verified to realize the accurate positioning of the key factors of railway fire accidents and the accurate query of their paths, which is of great significance for the identification, prevention and control of the key risk points and risk paths of railway fire accidents. The construction and application of this knowledge graph will provide knowledge support for railway fire risk prevention and control, and facilitate the “proactive” transformation of railway safety prevention and control.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    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) / Yan, Han (author) / Ma, Xiaoping (author) / Chen, Fei (author) / Zhao, Ruhao (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 :

    19 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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

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


    Construction and Application of Knowledge Graph for Urban Rail Fire Accident

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



    Ontology-based construction knowledge retrieval system

    Park, Moonseo / Lee, Kyung-won / Lee, Hyun-soo et al. | Online Contents | 2013