A process ontology based approach to easing semantic ambiguity in business process modeling

Business process modeling continues to increase in complexity, due, in part, to the dynamic business contexts and complicated domain concepts found in today's global economic environment. Although business process modeling is a critical step in workflow automation that powers business around th...

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Bibliographic Details
Published in:Data & knowledge engineering 2016-03, Vol.102, p.57-77
Main Authors: Fan, Shaokun, Hua, Zhimin, Storey, Veda C., Zhao, J. Leon
Format: Article
Language:English
Subjects:
Business process model
Conceptual modeling
Domain process ontology
Process Ontology Based Approach (POBA)
Semantic ambiguity
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Summary:Business process modeling continues to increase in complexity, due, in part, to the dynamic business contexts and complicated domain concepts found in today's global economic environment. Although business process modeling is a critical step in workflow automation that powers business around the world, business process modelers often misunderstand domain concepts or relationships due to their lack of precise domain knowledge. Such semantic ambiguity affects the efficiency and quality of business process modeling. To address this problem, a Process Ontology Based Approach is proposed to ease semantic ambiguity by providing a means to capture rich, semantic information on complex business processes through domain specific ontologies. This approach is grounded in the Bunge–Shanks Framework to semantic disambiguation and evaluated using an expert survey as well as a controlled laboratory experiment.
ISSN:0169-023X
1872-6933
DOI:10.1016/j.datak.2016.01.001