Research Article
Ontology-based Knowledge Modeling for Emergency Response to Shipboard Hazardous Cargo Accidents
@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
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.
