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Communication Dans Un Congrès Année : 2022

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 to infer 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 build 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 in managing the flood disaster or in anticipating future events. The experimental evaluations of our proposed approach are conducted on a real case study in the frame of flood disaster management with the aim of generating evacuation priorities. The results show that it succeeds in managing heterogeneous flood-related data and generating evacuation priorities in a very short time.
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Dates et versions

hal-04120717 , version 1 (08-06-2023)

Identifiants

  • HAL Id : hal-04120717 , version 1

Citer

Julie Bu Daher, Tom Huygue, Patricia Stolf, Nathalie Jane Hernandez. An Ontology and a reasoning approach for Evacuation in Flood Disaster Response. 17th International Conference on Knowledge Management : "Knowledge, Uncertainty and Risks: From individual to global scale” (ICKM 2022), International Council on Knowledge Management; University of Applied Sciences Potsdam, Jun 2022, Potsdam, Germany. pp.117-131. ⟨hal-04120717⟩
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