TY - GEN
T1 - Towards Object-Centric Process Mining for Blockchain Applications
AU - Hobeck, Richard
AU - Weber, Ingo
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - OCEL
KW - blockchain
KW - process mining
UR - http://www.scopus.com/inward/record.url?scp=85173583935&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-43433-4_4
DO - 10.1007/978-3-031-43433-4_4
M3 - Conference contribution
AN - SCOPUS:85173583935
SN - 9783031434327
T3 - Lecture Notes in Business Information Processing
SP - 51
EP - 65
BT - Business Process Management
A2 - Köpke, Julius
A2 - López-Pintado, Orlenys
A2 - Plattfaut, Ralf
A2 - Rehse, Jana-Rebecca
A2 - Gdowska, Katarzyna
A2 - Gonzalez-Lopez, Fernanda
A2 - Munoz-Gama, Jorge
A2 - Smit, Koen
A2 - van der Werf, Jan Martijn E. M.
PB - Springer Science and Business Media Deutschland GmbH
T2 - Proceedings of the 21st International Conference on Business Process Management, BPM 2023
Y2 - 11 September 2023 through 15 September 2023
ER -