Towards Object-Centric Process Mining for Blockchain Applications

Richard Hobeck, Ingo Weber

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationBusiness Process Management
Subtitle of host publicationBlockchain, Robotic Process Automation and Educators Forum - BPM 2023 Blockchain, RPA and Educators Forum, Proceedings
EditorsJulius 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
PublisherSpringer Science and Business Media Deutschland GmbH
Pages51-65
Number of pages15
ISBN (Print)9783031434327
DOIs
StatePublished - 2023
EventProceedings of the 21st International Conference on Business Process Management, BPM 2023 - Utrecht, Netherlands
Duration: 11 Sep 202315 Sep 2023

Publication series

NameLecture Notes in Business Information Processing
Volume491 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

ConferenceProceedings of the 21st International Conference on Business Process Management, BPM 2023
Country/TerritoryNetherlands
CityUtrecht
Period11/09/2315/09/23

Keywords

  • OCEL
  • blockchain
  • process mining

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