A new approach to structured processing of feedback for discovering and investigating interconnections, cascading events and disaster chains
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22 mai 2022
- handle: 10670/1.4kumzn
- isbn: 978-82-8427-099-9
- hal: hal-03870757
info:eu-repo/semantics/OpenAccess
Mots-clés
Knowledge management multiperspectivity lessons learning crisis management AI and Intelligent SystemsSujets proches
Learning process Scholarship LearningCiter ce document
Christian Iasio et al., « A new approach to structured processing of feedback for discovering and investigating interconnections, cascading events and disaster chains », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10670/1.4kumzn
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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.