$\textit{Dirigo}$: A Method to Extract Event Logs for Object-Centric Processes
Jia Wei (1), Chun Ouyang (1), Arthur ter Hofstede (1), Ying Wang (2), and Lei Huang (2) ((1) Queensland University of Technology, (2) Beijing, Jiaotong University)

TL;DR
The paper introduces Dirigo, a novel method for extracting object-centric event logs that conform to OCEL 2.0 and include temporal object relations, improving the quality and expressiveness of process data representation.
Contribution
Dirigo is the first method to generate OCEL 2.0 logs with dynamic object-to-object relations, validated against quality criteria on real-world data.
Findings
Dirigo produces high-quality OCEL 2.0 logs with temporal relations.
The method outperforms existing log extraction approaches.
Validated on a real-life use case with positive results.
Abstract
Real-world processes involve multiple object types with intricate interrelationships. Traditional event logs (in XES format), which record process execution centred around the case notion, are restricted to a single-object perspective, making it difficult to capture the behaviour of multiple objects and their interactions. To address this limitation, object-centric event logs (OCEL) have been introduced to capture both the objects involved in a process and their interactions with events. The object-centric event data (OCED) metamodel extends the OCEL format by further capturing dynamic object attributes and object-to-object relations. Recently OCEL 2.0 has been proposed based on OCED metamodel. Current research on generating OCEL logs requires specific input data sources, and resulting log data often fails to fully conform to OCEL 2.0. Moreover, the generated OCEL logs vary across…
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Taxonomy
TopicsScientific Computing and Data Management · Advanced Database Systems and Queries
