2014
DOI: 10.1007/978-3-319-06932-6_14
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An Ontology-Enabled Approach for Modelling Business Processes

Abstract: Abstract. Coloured Petri Nets (CPNs) have formal semantics and can describe any type of workflow system, behavioral and syntax wise simultaneously. They are widely studied and successfully applied in modelling of workflows and workflow systems. There is an inherent problem regarding business processes modelled with CPNs sharing and subsequently their reuse need to be considered. The Semantic Web technologies, such as ontologies, with their characteristics demonstrate that they can play an important role in thi… Show more

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Cited by 5 publications
(8 citation statements)
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“…In this study, we extend our previous work [2] in designing well-formed CPNsbased business workflow templates (CBWTs) and checking their correctness. The approach is based on Knowledge Engineering, Coloured Petri Nets (CPNs) and Semantic Web technologies which provide semantically rich business process definitions and automated support for CBWTs verification.…”
Section: Introductionmentioning
confidence: 94%
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“…In this study, we extend our previous work [2] in designing well-formed CPNsbased business workflow templates (CBWTs) and checking their correctness. The approach is based on Knowledge Engineering, Coloured Petri Nets (CPNs) and Semantic Web technologies which provide semantically rich business process definitions and automated support for CBWTs verification.…”
Section: Introductionmentioning
confidence: 94%
“…Therefore, CPNs are chosen as the workflow language in our work to transform a business process into a control flow-based business workflow template. However, it is difficult to interoperate, share and reuse business processes modelled with CPNs, i.e., business workflows, because of the lack of semantic representation of CPN components [2]. On the other hand, an ontology with its components, which provides machinereadable definitions of concepts, can represent semantically rich workflow definitions.…”
Section: Modelling Business Processes With Coloured Petrimentioning
confidence: 99%
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