Metamodel of the Artifact-Centric Approach to Event Log Extraction from ERP Systems

Metamodel of the Artifact-Centric Approach to Event Log Extraction from ERP Systems

Ana Pajić (Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia,) and Dragana Bečejski-Vujaklija (Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia)
Copyright: © 2016 |Pages: 11
DOI: 10.4018/IJDSST.2016040102
OnDemand PDF Download:
No Current Special Offers


Enterprise Resource Planning (ERP) systems handle a huge amount of data related to the actual execution of business processes and the goal is to discover from transaction log a model of how the business processes are actually carried out. The authors' work captures the knowledge of existing approaches and tools in converting the data from transaction logs to event logs for process mining techniques. They conduct a detailed analysis of the artifact-centric approach concepts and describe its constructs by the ontological metamodel. The underlying logical and semantically rich structure of the approach is presented through the model definition. The paper specifies how concepts of the data source are mapped onto the concept of the event log. Dynamics NAV ERP system is used as an example to illustrate the data-oriented structure of ERP system.
Article Preview

2. Erp Transaction Data And Process Mining

ERP systems are integrated software solutions that help companies manage important backbone operations. Operations areas are provided as customizable modules in ERP systems that reflect best practice for common business processes (Mesbahi, Kazar, Benharzallah, Zoubeidi, & Bourekkache, 2015). Such best practices of business processes can be presented by ERP- specific process reference models. The function richness of ERP systems makes its reference process model complex and hard to understand.

Complete Article List

Search this Journal:
Open Access Articles
Volume 14: 4 Issues (2022): Forthcoming, Available for Pre-Order
Volume 13: 4 Issues (2021): 3 Released, 1 Forthcoming
Volume 12: 4 Issues (2020)
Volume 11: 4 Issues (2019)
Volume 10: 4 Issues (2018)
Volume 9: 4 Issues (2017)
Volume 8: 4 Issues (2016)
Volume 7: 4 Issues (2015)
Volume 6: 4 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing