Knowledge on demand: the future of decision support systems?

Authors

Keywords:

Generative AI, Crisis Management, Knowledge Base, Information Management

Abstract

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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Published

2024-06-17

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. https://ojs.iscram.org/index.php/Proceedings/article/view/114

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