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Author
Christian Iasio
;
Ingrid Canovas
;
Elie Chevillot-Miot
;
Tendry Randramialala
Title
A New Approach to Structured Processing of Feedback for Discovering and Investigating Interconnections, Cascading Events and Disaster Chains
Type
Conference Article
Year
2022
Publication
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
Iscram 2022
Volume
Issue
Pages
285-298
Keywords
Knowledge management
;
multiperspectivity
;
lessons learning
;
crisis management
Abstract
Post-disaster information processing is relevant for the continuous improvement of operations and the reductionof 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.
Address
BRGM; LATTS – Université Gustave Eiffel,Marne la Vallée; Institut des Hautes Etudes du Ministère de l’Intérieur; BRGM
Corporate Author
Thesis
Publisher
Place of Publication
Tarbes, France
Editor
Rob Grace; Hossein Baharmand
Language
English
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3387
ISBN
978-82-8427-099-9
Medium
Track
AI and Intelligent Systems for Crises and Risks
Expedition
Conference
Notes
Approved
no
Call Number
ISCRAM @ idladmin @
Serial
2418
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