Breaking Down Barriers with Knowledge Graphs: Data Integration for Cross-Organizational Process Mining

Rott J, Dorsch R, Freund M, Böhm M, Harth A, Krcmar H (2024)


Publication Type: Conference contribution

Publication year: 2024

Journal

Publisher: Springer

City/Town: Cham

Pages Range: 499-512

Event location: Rom IT

ISBN: 9783031561061

DOI: 10.1007/978-3-031-56107-8_38

Abstract

Cross-organizational process mining (coPM) with data from at least two organizations assists cooperating organizations in optimizing their operations by enabling an in-depth and continuous process analysis. As coPM faces unique challenges and is rarely applied, we followed a design science-based approach and developed a three-step extension to the PM project methodology to integrate data across organizational boundaries. Each organization first creates a local event data knowledge graph (KG). Second, a trusted third party integrates all local KGs into a global KG. Third, a federated event log and process knowledge are retrieved for coPM analysis. Overall, we present the first version of a methodology to support data integration for coPM, thereby assisting researchers and practitioners in unlocking value potentials from coPM analysis.

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How to cite

APA:

Rott, J., Dorsch, R., Freund, M., Böhm, M., Harth, A., & Krcmar, H. (2024). Breaking Down Barriers with Knowledge Graphs: Data Integration for Cross-Organizational Process Mining. In Johannes De Smedt, Pnina Soffer (Eds.), Proceedings of the ICPM 2023 International Workshops (pp. 499-512). Rom, IT: Cham: Springer.

MLA:

Rott, Julian, et al. "Breaking Down Barriers with Knowledge Graphs: Data Integration for Cross-Organizational Process Mining." Proceedings of the ICPM 2023 International Workshops, Rom Ed. Johannes De Smedt, Pnina Soffer, Cham: Springer, 2024. 499-512.

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