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Enabling effective workflow model reuse: A data-centric approach

delete2017-01-01
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PRE
AI
刘
刘志勇 (Zhiyong Liu)
S
Shaokun Fan *
H
Harry Jiannan Wang
J
J. L. Zhao
DOI:10.1016/j.dss.2016.09.002delete
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摘要

摘要

En 中文
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. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Workflow model reuse
Workflow model management
Data flow perspective
Data dependency
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期刊

Decision Support Systems 封面图
Decision Support Systems
IF:
6.8
论文数:
3.8K
被引数:
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University of Delaware
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City University of Hong Kong
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Dalian University of Technology
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