Towards Object-Centric Process Mining for Blockchain Applications

Richard Hobeck, Ingo Weber

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

Process mining event logs are traditionally formatted to reflect the execution of a collection of individual process instances, with a fixed case notion. In practice, process instances are often intertwined, and the scope of a particular process is less static. When flattening complex application data to traditional event log formats, like XES, problems such as divergence and convergence occur in the resulting event logs. Object-centric process mining with its object-centric event log (OCEL) format were introduced to tackle these issues, supporting multiple case notions with a single event log. While the adoption of object-centric logging is starting to gain momentum in several domains, the use of OCEL for event logs of blockchain applications has seen little research. In this paper, we investigate blockchain data structures and map them to OCEL logging capabilities. We present an approach to extracting data from blockchain applications that requires little domain knowledge. We discuss how to map data items to fit object-centric event logs and provide and analyze a corresponding OCEL event log for a blockchain application. The approach is evaluated based on a use case and contrasted to a previous case study.

OriginalspracheEnglisch
TitelBusiness Process Management
UntertitelBlockchain, Robotic Process Automation and Educators Forum - BPM 2023 Blockchain, RPA and Educators Forum, Proceedings
Redakteure/-innenJulius Köpke, Orlenys López-Pintado, Ralf Plattfaut, Jana-Rebecca Rehse, Katarzyna Gdowska, Fernanda Gonzalez-Lopez, Jorge Munoz-Gama, Koen Smit, Jan Martijn E. M. van der Werf
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten51-65
Seitenumfang15
ISBN (Print)9783031434327
DOIs
PublikationsstatusVeröffentlicht - 2023
VeranstaltungProceedings of the 21st International Conference on Business Process Management, BPM 2023 - Utrecht, Niederlande
Dauer: 11 Sept. 202315 Sept. 2023

Publikationsreihe

NameLecture Notes in Business Information Processing
Band491 LNBIP
ISSN (Print)1865-1348
ISSN (elektronisch)1865-1356

Konferenz

KonferenzProceedings of the 21st International Conference on Business Process Management, BPM 2023
Land/GebietNiederlande
OrtUtrecht
Zeitraum11/09/2315/09/23

Fingerprint

Untersuchen Sie die Forschungsthemen von „Towards Object-Centric Process Mining for Blockchain Applications“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren