A Query Language for Aggregating Object-Centric Event Data

Abstract

Object-centric process mining focuses on analyzing event data in the context of many interacting objects. Process mining analysis in general relies on summarization of event data through aggregation. Existing techniques mainly aggregate events based on activities, without considering related objects, or require event log manipulation prior to aggregation. To overcome this, we propose a high-level query language designed for aggregating objectcentric event data. The language offers flexible and multi-step aggregation over events and objects, allowing a user to customize the aggregation granularity for each during analysis. We formalize this approach using a set-based representation of object-centric event data and formal query language syntax and semantics. We provide an implementation of the query language for event knowledge graphs and evaluate feasibility, scalability, and effectiveness on object-centric datasets from different domains

Cite as:

@article{pettinariTF26,
  title={A Query Language for Aggregating Object-Centric Event Data},
  author={Pettinari, Sara and Tiezzi, Francesco and Fahland, Dirk},
  journal={Information Systems},
  pages={},
  year={2026},
  publisher={Elsevier}
}