Object-Centric Event Logs: Specifications, Comparative Analysis and Refinement
Alexandre Goossens, Johannes De Smedt, Jan Vanthienen

TL;DR
This paper analyzes various object-centric event log formats in process mining, proposing a specifications framework to improve interoperability, consistency, and understanding of log formats for enhanced research and practical applications.
Contribution
It introduces a comprehensive specifications framework for object-centric event logs, enabling comparison, evaluation, and refinement of existing formats to address interoperability challenges.
Findings
Identifies commonalities and discrepancies among object-centric log formats.
Highlights unresolved issues in log format standardization.
Proposes potential solutions for improving log format compatibility.
Abstract
Process mining aims to comprehend and enhance business processes by analyzing event logs. Recently, object-centric process mining has gained traction by considering multiple objects interacting with each other in a process. This object-centric approach offers advantages over traditional methods by avoiding dimension reduction issues. However, in contrast to traditional process mining where a standard event log format was quickly agreed upon with XES providing a common platform for further research and industry, various object-centric logging formats have been proposed, each addressing specific challenges such as object relations or dynamic attribute changes. This makes that interoperability of object-centric algorithms remains a challenge, hindering reproducibility and generalizability in research. Additionally, the object-centric process storage paradigm aligns well with a wide range…
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Taxonomy
TopicsScientific Computing and Data Management · Simulation Techniques and Applications
