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Ontology-Supported Double-Level Model Construction for International Disaster Medical Relief Resource Forecasting

Min Zhu1,2,3,#, Huiyu Jin1,#, Ruxue Chen1, Quanyi Huang2,3, Shaobo Zhong4, Guang Tian1,*

1 6th Medical Center of General Hospital, PLA, Beijing, 100084, China
2 Institute of Public Safety Research (IPSR), Tsinghua University, Beijing, 100084, China
3 Beijing Key Laboratory of City Integrated Emergency Response Science, Beijing, 100084, China
4 Beijing Research Center of Urban Systems Engineering, Beijing, 100084, China
# These two authors contributed equally to this work

* Corresponding Author: Guang Tian. Email:

Intelligent Automation & Soft Computing 2020, 26(5), 1097-1109.


In a disaster, mass casualties lead to a surge in demand for medical services. Some relief actions have been criticized for being ill-adapted to dominating medical needs. This research established a disaster medical relief planning model in 3 steps. 1. Establishing the two-level conceptual model. 2. Using the ontology method to describe the hierarchy and relating rules of the terms and concepts associated with the model. 3. Using an ontology-support casebased reasoning approach to build the case similarity matching process, which can provide a more efficient system for decision support. A case study validated the model and demonstrated its usage.


Cite This Article

M. Zhu, H. Jin, R. Chen, Q. Huang, S. Zhong et al., "Ontology-supported double-level model construction for international disaster medical relief resource forecasting," Intelligent Automation & Soft Computing, vol. 26, no.5, pp. 1097–1109, 2020.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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