CBRFlow: Enabling adaptive workflow management through conversational case-based reasoning

In this paper we propose an architecture for an adaptive workflow management system (WFMS) and present the research prototype CBRFlow. CBRFlow extends workflow execution with conversational case-based reasoning (CCBR) to adapt the predefined workflow model to changing circumstances and to provide the WFMS with learning capabilities. Business rules within the predefined workflow model are annotated during run-time with context-specific information in the form of cases using the CCBR sub-system. When case reuse becomes frequent, the cases are manually refactored into rules to foster automatic execution. This feedback supports continuous process improvement, resulting in more manageable and more efficient business processes over time.