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Knowledge Fusion for Distributed Situational Awareness driven by the WAx Conceptual Framework
Antonio De Nicola
author
Maria Luisa Villani
author
Francesco Costantino
author
Andrea Falegnami
author
Riccardo Patriarca
author
2021
Virginia Tech
Blacksburg, VA (USA)
English
Large crisis scenarios involve several actors, acting at the blunt-end of the process, such as rescue team directors, and at the sharp-end, such as firefighters. All of them have different perspectives on the crisis situation, which could be either coherent, alternative or complementary. This heterogeneity of perceptions hinders situational awareness, which is defined as the achievement of an overall picture on the above-mentioned crisis situation. We define knowledge fusion as the process of integrating multiple knowledge entities to produce actionable knowledge, which is consistent, accurate, and useful for the purpose of the analysis. Hence, we present a conceptual modelling approach to gather and integrate knowledge related to large crisis scenarios from locally-distributed sources that can make it actionable. The approach builds on the WAx framework for cyber-socio-technical systems and aims at classifying and coping with the different knowledge entities generated by the involved operators. The conceptual outcomes of the approach are then discussed in terms of open research challenges for knowledge fusion in crisis scenarios.
distributed situational awareness
knowledge fusion
WAx framework
crisis management
cyber-socio-technical systems
antonio.denicola@enea.it
exported from refbase (http://idl.iscram.org/show.php?record=2315), last updated on Tue, 13 Jul 2021 18:14:15 +0200
text
http://idl.iscram.org/files/antoniodenicola/2021/2315_AntonioDeNicola_etal2021.pdf
AntonioDeNicola_etal2021
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management
Iscram 2021
Anouck Adrot
editor
Rob Grace
editor
Kathleen Moore
editor
Christopher W. Zobel
editor
18th International Conference on Information Systems for Crisis Response and Management
2021
Virginia Tech
Blacksburg, VA (USA)
conference publication
79
85
978-1-949373-61-5
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