Knowledge, semantics and AI for risk and crisis management (Englisch)
- Neue Suche nach: De Nicola, Antonio
- Neue Suche nach: Karray, Hedi
- Neue Suche nach: Kejriwal, Mayank
- Neue Suche nach: Matta, Nada
- Neue Suche nach: De Nicola, Antonio
- Neue Suche nach: Karray, Hedi
- Neue Suche nach: Kejriwal, Mayank
- Neue Suche nach: Matta, Nada
In:
Journal of Contingencies and Crisis Management
;
28
, 3
;
174-177
;
2020
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Knowledge, semantics and AI for risk and crisis management
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Beteiligte:De Nicola, Antonio ( Autor:in ) / Karray, Hedi ( Autor:in ) / Kejriwal, Mayank ( Autor:in ) / Matta, Nada ( Autor:in )
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Erschienen in:Journal of Contingencies and Crisis Management ; 28, 3 ; 174-177
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Verlag:
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Erscheinungsdatum:01.09.2020
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Format / Umfang:4 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis – Band 28, Ausgabe 3
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- 173
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Issue Information| 2020
- 174
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Knowledge, semantics and AI for risk and crisis managementDe Nicola, Antonio / Karray, Hedi / Kejriwal, Mayank / Matta, Nada et al. | 2020
- 178
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A comprehensive system for semantic spatiotemporal assessment of risk in urban areasColetti, Alex / De Nicola, Antonio / Di Pietro, Antonio / La Porta, Luigi / Pollino, Maurizio / Rosato, Vittorio / Vicoli, Giordano / Villani, Maria Luisa et al. | 2020
- 194
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Improving emergency preparedness to cascading disasters: A case‐driven risk ontology modellingYu, Feng / Fan, Bo / Li, Xiangyang et al. | 2020
- 215
-
Data‐driven model for river flood forecasting based on a Bayesian network approachBoutkhamouine, Brahim / Roux, Hélène / Pérés, François et al. | 2020
- 228
-
A mathematical model for the diffusion of emergency warning messages during CBRNe emergenciesD’Arienzo, Marco / Di Paolo, Ferruccio / Chiacchiararelli, Laura / Malizia, Andrea / Indovina, Luca et al. | 2020
- 240
-
Do intentions indicate actual behaviour? A comparison between scenario‐based experiments and real‐time observations of warning responseWeyrich, Philippe / Scolobig, Anna / Walther, Florian / Patt, Anthony et al. | 2020
- 251
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Using deep learning and social network analysis to understand and manage extreme floodingRomascanu, Andrei / Ker, Hannah / Sieber, Renee / Greenidge, Sarah / Lumley, Sam / Bush, Drew / Morgan, Stefan / Zhao, Rosie / Brunila, Mikael et al. | 2020
- 262
-
What happens where during disasters? A Workflow for the multifaceted characterization of crisis events based on Twitter dataKersten, Jens / Klan, Friederike et al. | 2020
- 281
-
Improving automated crisis detection via an improved understanding of crisis language: Linguistic categories in social media crisesBorden, Jonathan / Zhang, Xiaochen Angela / Hwang, Jooyun et al. | 2020
- 291
-
An AI framework and a metamodel for collaborative situations: Application to crisis management contextsBenaben, Frederick / Fertier, Audrey / Montarnal, Aurélie / Mu, Wenxin / Jiang, Zheng / Truptil, Sebastien / Barthe‐Delanoë, Anne‐Marie / Lauras, Matthieu / Mace‐Ramete, Guillaume / Wang, Tiexin et al. | 2020
- 307
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Handling effective communication to support awareness in rescue operationsChehade, Samer / Matta, Nada / Pothin, Jean‐Baptiste / Cogranne, Remi et al. | 2020
- 324
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PROMES: An ontology‐based messaging service for semantically interoperable information exchange during disaster responseElmhadhbi, Linda / Karray, Mohamed‐Hedi / Archimède, Bernard / Otte, J. Neil / Smith, Barry et al. | 2020
- 339
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AI‐Powered mental health chatbots: Examining users’ motivations, active communicative action and engagement after mass‐shooting disastersCheng, Yang / Jiang, Hua et al. | 2020
- 355
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Participatory Bayesian modelling for sustainable and efficient river restoration projects: Feedback from the case study of the Gave de Pau River, Hautes‐Pyrénées, FranceYassine, Rabab / Pérès, François / Frysou, Olivier / Roux, Hélène / Cassan, Ludovic et al. | 2020