Abstract
Man-made and natural disasters have affected people worldwide. This paper presents an ontology-supported case-based reasoning (OS-CBR) approach, to support a double scenario model recommending possible medical needs for international medical relief action. Thus, the action’s decision makers could effectively respond to disasters concerning not only the disaster scenario but also the regional scenario which related to the local health and medical service condition. The advantages of the OS-CBR approach is that it builds a case retrieving process, which provides a more convenient system for decision support based on knowledge from, and solutions provided for past events. The OS-CBR approach reasoning includes a set of algorithms that have been successfully implemented in four components: retrieval; adaption; revision and preservation; and knowledge presentation. A case studies validated the OS-CBR approach and demonstrate its usage.
R. Chen and S. Chen—Co-authors
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Acknowledgements
This study is Project in the National Key Research and Development Program of China (No. 2017YFC1405300); Army logistics key projects (#AWS14L012; #BHJ14L010); Army standard program (#BHJ17B042).
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Zhu, M., Chen, R., Chen, S., Zhong, S., Lin, T., Huang, Q. (2019). Ontology-Supported Case-Based Reasoning Approach for Double Scenario Model Construction in International Disaster Medical Relief Action. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018. ATCI 2018. Advances in Intelligent Systems and Computing, vol 842. Springer, Cham. https://doi.org/10.1007/978-3-319-98776-7_26
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DOI: https://doi.org/10.1007/978-3-319-98776-7_26
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