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Enabling effective workflow model reuse: A data-centric approach

  • Zhiyong Liu
  • , Shaokun Fan*
  • , Harry Jiannan Wang
  • , J. Leon Zhao
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

With increasingly widespread adoption of workflow technology as a standard solution to business process management, a large number of workflow models have been put in use in companies in the era of electronic commerce. These workflow models form a valuable resource for workflow domain knowledge, which should be reused to support workflow model design. However, current workflow modeling approaches do not facilitate workflow model reuse as a fundamental requirement, leading to a research gap in effective workflow model reuse. In this paper, we propose a novel approach called Data-centric Workflow Model Reuse framework (DWMR) to provide a solution to workflow model reuse. DWMR compliments existing control-flow-focused workflow modeling approaches by explicitly storing workflow data information, such as data dependency, data task relationships, and data similarity scores. DWMR also provides data-driven workflow model search and composition algorithms to satisfy user query requirements by automatically combining multiple workflow models. We demonstrate the feasibility of the DWMR approach by applying it to data from a well-known industry workflow model repository.
Original languageEnglish
Pages (from-to)11-25
JournalDecision Support Systems
Volume93
Online published19 Sept 2016
DOIs
Publication statusPublished - Jan 2017

Research Keywords

  • Data dependency
  • Data flow perspective
  • Workflow model management
  • Workflow model reuse

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