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Communication Dans Un Congrès Année : 2024

Knowledge on demand: the future of decision support systems?

Yohann Chasseray
Aurélie Conges
Audrey Fertier
Anne-Marie Barthe-Delanoë

Résumé

The availability and quality of the information system supporting crisis management depends on the existence of up-to-date, comprehensive and reliable knowledge bases, despite the multidisciplinary nature of the information to be exchanged, the actions, and the decisions to be taken. This article proposes a method to benefit from pre-trained language models to automatically update these knowledge bases at both design time and run time. We offer a model-based extraction process and a dedicated automated validation process. These two contributions are illustrated and discussed around a case study: an emergency decision support system used to prepare for and respond to an unexpected mass gathering at an abandoned French aerial base.
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Dates et versions

hal-04618602 , version 1 (20-06-2024)

Identifiants

  • HAL Id : hal-04618602 , version 1

Citer

Yohann Chasseray, Aurélie Conges, Audrey Fertier, Anne-Marie Barthe-Delanoë. Knowledge on demand: the future of decision support systems?. ISCRAM 2024 - 21th - Information Systems for Crisis Response and Management., May 2024, Münster, Germany. ⟨hal-04618602⟩
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