A case-based reasoning framework for workflow model management

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)87-115
Journal / PublicationData and Knowledge Engineering
Volume50
Issue number1
StatePublished - Jul 2004
Externally publishedYes

Abstract

In order to support efficient workflow design, recent commercial workflow systems are providing templates of common business processes. These templates, called cases, can be modified individually or collectively into a new workflow to meet the business specification. However, little research has been done on how to manage workflow models, including issues such as model storage, model retrieval, model reuse and assembly. In this paper, we propose a novel framework to support workflow modeling and design by adapting workflow cases from a repository of process models. Our approach to workflow model management is based on a structured workflow lifecycle and leverages recent advances in model management and case-based reasoning techniques. Our contributions include a conceptual model of workflow cases, a similarity flooding algorithm for workflow case retrieval, and a domain-independent AI planning approach to workflow case composition. We illustrate the workflow model management framework with a prototype system called Case-Oriented Design Assistant for Workflow Modeling (CODAW). © 2004 Elsevier B.V. All rights reserved.

Research Area(s)

  • Ad hoc workflows, Case-based reasoning, Case-oriented workflow modeling, Model reuse

Citation Format(s)

A case-based reasoning framework for workflow model management. / Madhusudan, Therani; Zhao, J. Leon; Marshall, Byron.

In: Data and Knowledge Engineering, Vol. 50, No. 1, 07.2004, p. 87-115.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review