Abstract
Artifact-centric modeling is an approach for capturing business processes in terms of so-called business artifacts - key entities driving a company's operations and whose lifecycles and interactions define an overall business process. This approach has been shown to be especially suitable in the context of processes where one-to-many or manyto-many relations exist between the entities involved in the process. As a contribution towards building up a body of methods to support artifact-centric modeling, this article presents a method for automated discovery of artifact-centric process models starting from logs consisting of flat collections of event records. We decompose the problem in such a way that a wide range of existing (non-Artifact-centric) automated process discovery methods can be reused in a flexible manner. The presented methods are implemented as a package for ProM, a generic open-source framework for process mining. The methods have been applied to reverse-engineer an artifact-centric process model starting from logs of a real-life business process.
Original language | English |
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Article number | 1550001 |
Number of pages | 44 |
Journal | International Journal of Cooperative Information Systems |
Volume | 24 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2015 |
Funding
This research is funded by the EU FP7 Programme (ACSI Project). The authors are grateful to David Boaz, Boudewijn van Dongen, Luciano Garćıa-Bañuelos, Rick
Keywords
- Artifact-centric modeling
- business process modeling
- process mining