Enriching Object-Centric Event Data with Process Scopes: A Framework for Aggregation and Analysis
Shahrzad Khayatbashi, Majid Rafiei, Jiayuan Chen, Timotheus Kampik, Gregor Berg, Amin Jalali

TL;DR
This paper introduces a framework for embedding analyst-defined process scopes into object-centric event data, enabling multi-process analysis and aggregation at different abstraction levels, thus enhancing interpretability and insights.
Contribution
It proposes a novel method to incorporate process scopes into OCEL, allowing structured multi-process analysis and improved interpretability of complex event data.
Findings
Supports aggregation across process scopes
Enables analysis at multiple abstraction levels
Demonstrated on a real OCEL log
Abstract
Object-Centric Process Mining enables the analysis of complex operational behavior by capturing interactions among multiple business objects (e.g., orders, items, deliveries). These interactions are recorded using Object-Centric Event Data (OCED) formats, such as the Object-Centric Event Log (OCEL). However, existing formats lack explicit definitions of process scopes, which restricts analysis to individual processes and limits insights to a low level of granularity. In practice, OCED often spans multiple interrelated processes, as shared objects connect events across organizational functions. This structure reflects how value is created along the organizational value chain, but introduces challenges for interpretation when process boundaries are not clearly defined. Moreover, process definitions are typically subjective and context-dependent; they vary across organizations, roles, and…
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