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Communication Dans Un Congrès Année : 2022

A new approach to structured processing of feedback for discovering and investigating interconnections, cascading events and disaster chains

Résumé

Post-disaster information processing is relevant for the continuous improvement of operations and the reduction of risks. The current methodologies for post-disaster review suffer from several limitations, which reduce their use as a way of translating narrative in data for qualitative and quantitative analysis. Learning or effective knowledge sharing need a common formalism and method. Ontologies are the reference tool for structuring information in a "coded" data structure. Using the investigation of disaster management during the 2017 hurricane season in the French West Indies within the scope of the ANR "APRIL" project, this contribution introduces a methodology and a tool for providing a graphical representation of experiences for post-disaster review and lessons learning, based on a novel approach to case-based ontology development.
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Dates et versions

hal-03870757 , version 1 (24-11-2022)

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  • HAL Id : hal-03870757 , version 1

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Christian Iasio, Ingrid Canovas, Elie Chevillot-Miot, Tendry Randriamalala. A new approach to structured processing of feedback for discovering and investigating interconnections, cascading events and disaster chains. ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management, May 2022, Tarbes, France. ⟨hal-03870757⟩
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