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Article Dans Une Revue Journal of Information and Knowledge Management Année : 2023

An Ontology and a Reasoning Approach for Evacuation in Flood Disaster Response

Résumé

Managing flood-related data to assist in the disaster management is a critical process of high importance during a flood disaster. These data are heterogeneous and can be provided from different data sources, and integrating them is a challenging task which allows inferring new information that helps in limiting the consequences of a flood. In this paper, we propose a novel approach that manages heterogeneous flood-related data based on semantic web techniques and helps in limiting the damage caused by floods. We first propose an ontology that is used to formally describe the flood-related data, and we construct our knowledge graph through integrating heterogeneous data using the proposed ontology. Then, we propose a reasoning approach using SHACL rules to infer new information that helps manage the flood disaster or anticipate future events. The experimental evaluations of our proposed approach are conducted on a real case study in flood disaster management with the aim of generating evacuation priorities. The results show that the proposed approach succeeds in managing heterogeneous flood-related data and in generating evacuation priorities in a very short time.

Dates et versions

hal-04219971 , version 1 (27-09-2023)

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Julie Bu Daher, Tom Huygue, Patricia Stolf, Nathalie Jane Hernandez. An Ontology and a Reasoning Approach for Evacuation in Flood Disaster Response. Journal of Information and Knowledge Management, 2023, ⟨10.1142/S0219649223500429⟩. ⟨hal-04219971⟩
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