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A semantic approach for modeling vulnerability of communities
Sofia Kostakonti
author
Ramona Velea
author
Vassilis Papataxiarhis
author
Daniele Del Bianco
author
Uberto Delprato
author
Stathes Hadjiefthymiades
author
2021
Virginia Tech
Blacksburg, VA (USA)
English
In this paper, we propose the use of semantic technologies for the representation of concepts and relationships required for the modeling of vulnerability data for local communities. First, we discuss the concepts of vulnerability and resilience and we try to identify the relationship between the two. We provide some background knowledge and we present basic characteristics of the two concepts. Next, we discuss the motivation behind the use of semantic technologies, and we show how the proposed framework can address existing challenges in terms of vulnerability assessment. The core part of this paper focuses on the semantic representation of community vulnerability aspects. We give an overview of the layered semantic framework consisting of interconnected ontological models and we provide a set of use-cases where the use of semantic-based modeling and query answering can prove beneficial in terms of assessing vulnerability.
Community vulnerability
semantic modeling
community resilience
knowledge representation and reasoning
sofkost@di.uoa.gr
exported from refbase (http://idl.iscram.org/show.php?record=2335), last updated on Tue, 13 Jul 2021 18:22:16 +0200
text
http://idl.iscram.org/files/sofiakostakonti/2021/2335_SofiaKostakonti_etal2021.pdf
SofiaKostakonti_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
305
318
978-1-949373-61-5
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