Towards a Simple and Extensible Standard for Object-Centric Event Data (OCED) -- Core Model, Design Space, and Lessons Learned
Dirk Fahland, Marco Montali, Julian Lebherz, Wil M.P. van der Aalst,, Maarten van Asseldonk, Peter Blank, Lien Bosmans, Marcus Brenscheidt, Claudio, di Ciccio, Andrea Delgado, Daniel Calegari, Jari Peeperkorn, Eric Verbeek,, Lotte Vugs, Moe Thandar Wynn

TL;DR
This paper proposes a standardized core model for object-centric event data to facilitate process mining, discusses its limitations and extensions, and shares lessons learned from multiple implementations and case studies.
Contribution
It introduces a comprehensive core model for OCED, explores design trade-offs, and provides practical insights from diverse implementations to guide standardization efforts.
Findings
Five OCED implementations demonstrate model applicability.
Design space analysis reveals trade-offs in data representation.
Lessons learned inform future standardization and adoption.
Abstract
Process mining is shifting towards use cases that explicitly leverage the relations between data objects and events under the term of object-centric process mining. Realizing this shift and generally simplifying the exchange and transformation of data between source systems and process mining solutions requires a standardized data format for such object-centric event data (OCED). This report summarizes the activities and results for identifying requirements and challenges for a community-supported standard for OCED. (1) We present a proposal for a core model for object-centric event data that underlies all known use cases. (2) We detail the limitations of the core model wrt. a broad range of use cases and discuss how to overcome them through conventions, usage patterns, and extensions of OCED, exhausting the design-space for an OCED data model and the inherent trade-offs in representing…
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Taxonomy
TopicsScientific Computing and Data Management · Simulation Techniques and Applications · Distributed and Parallel Computing Systems
