Knowledge on demand: the future of decision support systems?



Generative AI, Crisis Management, Knowledge Base, Information Management


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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How to Cite

Chasseray, Y., Congès, A., Fertier, A., & Barthe-Delanoë, A.-M. (2024). Knowledge on demand: the future of decision support systems?. ISCRAM Proceedings, 21.

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