Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China

Research Article

Ontology-based Knowledge Modeling for Emergency Response to Shipboard Hazardous Cargo Accidents

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  • @INPROCEEDINGS{10.4108/eai.26-5-2023.2334278,
        author={Cheng  Li and Jing  He and Ziteng  Sun and Chaojie  Zhou},
        title={Ontology-based Knowledge Modeling for Emergency Response to Shipboard Hazardous Cargo Accidents},
        proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2023},
        month={7},
        keywords={water emergency; shipboard hazardous cargo; ontology modeling; mapping relationships},
        doi={10.4108/eai.26-5-2023.2334278}
    }
    
  • Cheng Li
    Jing He
    Ziteng Sun
    Chaojie Zhou
    Year: 2023
    Ontology-based Knowledge Modeling for Emergency Response to Shipboard Hazardous Cargo Accidents
    MSEA
    EAI
    DOI: 10.4108/eai.26-5-2023.2334278
Cheng Li1,*, Jing He1, Ziteng Sun1, Chaojie Zhou1
  • 1: Zhejiang Scientific Research Institute of Transport
*Contact email: 2108335474@qq.com

Abstract

The ontology-based knowledge modeling is introduced into the knowledge management and service of shipboard hazardous cargo accident on the water, the ontology model layer and data layer of shipboard hazardous cargo accident emergency relief are established, the structured multi-source knowledge of the non-structured expression of shipboard hazardous cargo accident emergency is realized, the ontology mapping algorithm of shipboard hazardous cargo accident emergency is designed, and the multi-source heterogeneous knowledge fusion of shipboard hazardous cargo accident emergency is realized to further integrate and transform the existing accident information advantages into decision-making advantages, effectively enhance the emergency response capability and improve the emergency management work.