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A geo-ontology-based approach to decision-making in emergency management of meteorological disasters

Author

Listed:
  • Shaobo Zhong

    (Tsinghua University)

  • Zhixiang Fang

    (Wuhan University)

  • Min Zhu

    (Tsinghua University)

  • Quanyi Huang

    (Tsinghua University)

Abstract

Ontology as a kind of method for knowledge representation is able to provide semantic integration for decision support in emergency management activities of meteorological disasters. We examine a meteorological disaster system as composed of four components: disastrous meteorological events, hazard-inducing environments, hazard-bearing bodies, and emergency management. The geospatial characteristics of these components can be represented with geographical ontology (geo-ontology). In this paper, we propose an ontology representation of domain knowledge of a meteorological disaster system descending from an adapted geospatial foundation ontology, designed to formally conceptualize the domain terms and establish relationships between those concepts. The class hierarchy and relationships of the proposed ontology are implemented finally at top level, domain level/task level, and application level. The potential application of the ontology is illustrated with a case study of prediction of secondary disasters and evacuation decision of a typhoon event. The multi-level ontology model can provide semantic support for before-, during-, after-event emergency management activities such as risk assessment, resource preparedness, and emergency response where the formed concepts and their relationships can be incorporated into reasoning sentences of these decision processes. Furthermore, the ontology model is realized with a universally used intermediate language OWL, which enables it to be used in popular environments. This work will underlie the semantic integration among human beings, between heterogeneous systems and between human beings and systems, enable spatial semantic reasoning, and will be useful in guiding advanced decision support in emergency management of meteorological disasters.

Suggested Citation

  • Shaobo Zhong & Zhixiang Fang & Min Zhu & Quanyi Huang, 2017. "A geo-ontology-based approach to decision-making in emergency management of meteorological disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 531-554, November.
    • Handle: RePEc:spr:nathaz:v:89:y:2017:i:2:d:10.1007_s11069-017-2979-z
    DOI: 10.1007/s11069-017-2979-z
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    1. Maria Papathoma-Koehle & Catrin Promper & Roxana Bojariu & Roxana Cica & András Sik & Kinga Perge & Peter László & Erika Balázs Czikora & Alexandru Dumitrescu & Cosmin Turcus & Marius-Victor Birsan & , 2016. "A common methodology for risk assessment and mapping for south-east Europe: an application for heat wave risk in Romania," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 89-109, May.
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    Cited by:

    1. Peng Ye, 2022. "Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges," IJERPH, MDPI, vol. 19(6), pages 1-28, March.
    2. Peng Ye & Xueying Zhang & Ge Shi & Shuhui Chen & Zhiwen Huang & Wei Tang, 2020. "TKRM: A Formal Knowledge Representation Method for Typhoon Events," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    3. Chenlei Guan & Damin Dong & Feng Shen & Xin Gao & Linyan Chen, 2022. "Hierarchical Structure Model of Safety Risk Factors in New Coastal Towns: A Systematic Analysis Using the DEMATEL-ISM-SNA Method," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    4. Xiaohui Liu & Zhen Liu & Yongwei Liu & Jiakuan Tian, 2021. "Integration of a geo-ontology-based knowledge model and spatial analysis into emergency response for geologic hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 1489-1514, September.

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