From Declarative Knowledge to Process-based Crisis Resolution: application to Flood Management
Résumé
Crisis resolution is often based on official government plans that provide guidelines. In real time, when a crisis occurs, one or several plans have to be chosen, merged, refined to meet the specific requirements of the crisis, and then launched. Plans are often in a textual format, which makes their interpretation ambiguous and error prone. Therefore, in real time, the coordination of stakeholders becomes difficult and time consuming. Given these drawbacks, the transformation of a plan into a process provides several advantages: i) an accurate and machinereadable specification of coordination of actions to be done in the field, ii) a better common understanding between stakeholders responsible for these actions and iii) a mean to analyze, simulate and evaluate the crisis response before launching it. The problem being addressed in this paper is “how to deduce a process for driving crisis resolution from business knowledge (plans, stakeholders and their capacities) and relevant facts observed in the impacted field”. This paper presents first a meta-model for capturing business knowledge and crisis situation and then a deduction approach deriving a process in a BPMN-like format. Flood of the Loire in June 2016 serves as a supportfor approach experiment
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