Ocelescope: An Extensible Web Framework for Object-Centric Process Mining

Öztürk, Görkem-Emre; van der Aalst, Wil M. P.; Küsters, Aaron Ruben; Graves, Nina; Menne, Sebastian

doi:1613-0073

Ocelescope: An Extensible Web Framework for Object-Centric Process Mining

Öztürk, Görkem-Emre ; Graves, Nina^RWTH* ; Küsters, Aaron Ruben^RWTH* ; Menne, Sebastian ; van der Aalst, Wil M. P.^RWTH*

In
BPM-D 2026 BPM 2026 Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum : Joint Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2026 co-located with 24th International Conference on Business Process Management (BPM 2026) Toronto, Canada, September 27th to October 2nd, 2026 / edited by Hajo Reijers ; Andrea Marrella ; Stefanie Rinderle-Ma ; Adela del Río Ortega ; Jana-Rebecca Rehse ; Pnina Soffer ; Iris Beerepoot ; Martin Kabierski ; Andrea Delgado ; Johannes De Smedt ; Alessandro Gianola

2026

Konferenz/Event:Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2026 , Toronto , Canada , 2026-09-27 - 2026-10-02

Konferenz/Event:24. International Conference on Business Process Management , Toronto , Canada , BPM 2026 , 2026-09-27 - 2026-10-02

ImpressumToronto, Canada : CEUR-WS

ReiheCEUR workshop proceedings ; 4274

Online
URL: https://publications.rwth-aachen.de/record/1044978/files/Ocelescope%3A%20An%20Extensible%20Web%20Framework%20for%20Object-Centric%20Process%20Mining.pdf
URL: https://ceur-ws.org/Vol-4274/paper-30.pdf

Einrichtungen

Projekte

Inhaltliche Beschreibung (Schlagwörter)
Process Mining (frei) ; Research (frei) ; Software (frei)

Kurzfassung
Object-centric process mining has led to a growing ecosystem of research tools, many of which reimplementcommon functionality and are difficult to reuse, extend, or maintain. We present Ocelescope, an extensible,open-source web framework that provides commonly needed functionality for object-centric process mining outof the box, including data handling, filtering, and visualization. Ocelescope supports two extension mechanisms:a plugin system for turning research prototypes into dynamically loadable plugins with automatically generatedinputs and visualized results, and a module system for building more advanced process mining tools on top ofOcelescope while reusing its existing functionality.

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