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

Barbara Weber, Werner Wild, Ruth Breu

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review


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.
Original languageEnglish
Title of host publicationAdvances in case-based reasoning
Number of pages15
PublisherSpringer Berlin Heidelberg
Publication date2004
Publication statusPublished - 2004
Externally publishedYes
EventEuropean Conference on Case-Based Reasoning - Madrid, Spain
Duration: 30 Aug 20042 Sep 2004
Conference number: 7


ConferenceEuropean Conference on Case-Based Reasoning
SeriesLecture Notes in Computer Science

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