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20192026
most citedOCEL (Object-Centric Event Log) 2.0 Specification

13 citations · 62 across the 17 of their papers we have counts for

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cs.DB2026

Hierarchical Decomposition of Separable Workflow-Nets

Humam Kourani, Gyunam Park, Wil M. P. van der Aalst

The Partially Ordered Workflow Language (POWL) has recently emerged as a process modeling notation, offering strong quality guarantees and high expressiveness. While early versions…

cs.DB2025

Revealing Inherent Concurrency in Event Data: A Partial Order Approach to Process Discovery

Humam Kourani, Gyunam Park, Wil M. P. van der Aalst

Process discovery algorithms traditionally linearize events, failing to capture the inherent concurrency of real-world processes. While some techniques can handle partially ordered…

cs.DB2024★ 13 cited

OCEL (Object-Centric Event Log) 2.0 Specification

Alessandro Berti, Istvan Koren, Jan Niklas Adams +10

Object-Centric Event Logs (OCELs) form the basis for Object-Centric Process Mining (OCPM). OCEL 1.0 was first released in 2020 and triggered the development of a range of OCPM tech…

cs.DB2022

Interactive Process Identification and Selection from SAP ERP

Julian Weber, Alessandro Berti, Gyunam Park +2

SAP ERP is one of the most popular information systems supporting various organizational processes, e.g., O2C and P2P. However, the amount of processes and data contained in SAP ER…

cs.DB2022

A Scalable Database for the Storage of Object-Centric Event Logs

Alessandro Berti, Anahita Farhang Ghahfarokhi, Gyunam Park +1

Object-centric process mining provides a set of techniques for the analysis of event data where events are associated to several objects. To store Object-centric Event Logs (OCELs)…

cs.DB2021

An Event Data Extraction Approach from SAP ERP for Process Mining

Alessandro Berti, Gyunam Park, Majid Rafiei +1

The extraction, transformation, and loading of event logs from information systems is the first and the most expensive step in process mining. In particular, extracting event logs…