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Detecting Dynamic Relationships in Object-Centric Event Logs
Conference proceeding   Peer reviewed

Detecting Dynamic Relationships in Object-Centric Event Logs

A Gianola, Zeeshan Hameed, Marco Montali, A Seidel, M Weske and Sarah Maria Winkler
Intelligent Information Systems: CAiSE 2026 Forum and Doctoral Consortium, Verona, Italy, June 8–12, 2026, Proceedings, Vol.587, pp.107-116
Lecture Notes in Business Information Processing, 587
CAiSE 2026 Forum and Doctoral Consortium (Verona, 08/06/2026–12/06/2026)
2026
Handle:
https://hdl.handle.net/10863/52542

Abstract

Synchronization Dynamically Changing Relations Business process management
Object-centric process mining examines how processes interact with multiple co-evolving objects, and has gained great interest in recent years. However, object-centric event logs (OCELs) leave object relationships underspecified in several respects, especially if relationships are dynamic, i.e., they change over time. In this paper, we identify and formally define for the first time assumptions that allow to represent and manipulate dynamic relationships in OCELs in a semantically unambiguous way. We evaluate existing logs to show that our assumptions are often satisfied, ensuring full transparency of relationship semantics.
url
https://doi.org/10.1007/978-3-032-27997-2_13View

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