Authors:
Hanane Ariouat
;
Eric Andonoff
and
Chihab Hanachi
Affiliation:
IRIT, University of Toulouse 1, 2 rue du Doyen Gabriel Marty, 31042 Toulouse Cedex and France
Keyword(s):
Crisis Management, Process Recommendation, Context, Flood.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Process Management
;
Collaboration and e-Services
;
Collaborative Systems
;
Complex Systems Modeling and Simulation
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Simulation and Modeling
;
Symbolic Systems
Abstract:
This paper addresses process recommendation in crisis management from relevant facts observed in the field and business knowledge of actors involved in crisis resolution. Facts observed correspond to damage or risk while business knowledge of crisis actors, i.e. actors involved in crisis resolution, corresponds to actions these actors can perform in the field to reduce the crisis and to strategies for using these actions according to the context. The approach recommended in the paper filters facts observed with strategies modelled taking into account the current situation and dynamically builds process models dealing with these facts. Built process models, represented as BPMN diagrams, define actions crisis actors have to perform in the field along with the coordination of these actions. As several strategies are possible to deal with facts, several process models are recommended, each being labelled with its adequacy with the current situation. This paper presents the meta-model for
facts and business knowledge modelling along with the recommended approach for process recommendation. Flood of the Loire serves as a case study for process recommendation illustration.
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