Extracting Event Logs for Process Mining from Data Stored on the Blockchain

被引:24
|
作者
Muehlberger, Roman [1 ]
Bachhofner, Stefan [1 ]
Di Ciccio, Claudio [1 ]
Garcia-Banuelos, Luciano [2 ,3 ]
Lopez-Pintado, Orlenys [2 ]
机构
[1] Vienna Univ Econ & Business, Vienna, Austria
[2] Univ Tartu, Tartu, Estonia
[3] Tecnol Monterrey, Monterrey, Mexico
关键词
Ethereum; Process discovery; Process monitoring; Process conformance;
D O I
10.1007/978-3-030-37453-2_55
中图分类号
F [经济];
学科分类号
02 ;
摘要
The integration of business process management with blockchains across organisational borders provides a means to establish transparency of execution and auditing capabilities. To enable process analytics, though, non-trivial extraction and transformation tasks are necessary on the raw data stored in the ledger. In this paper, we describe our approach to retrieve process data from an Ethereum blockchain ledger and subsequently convert those data into an event log formatted according to the IEEE Extensible Event Stream (XES) standard. We show a proof-of-concept software artefact and its application on a data set produced by the smart contracts of a process execution engine stored on the public Ethereum blockchain network.
引用
收藏
页码:690 / 703
页数:14
相关论文
共 50 条
  • [41] Generating event logs from non-process-aware systems enabling business process mining
    Perez-Castillo, Ricardo
    Weber, Barbara
    Pinggera, Jakob
    Zugal, Stefan
    Garcia-Rodriguez de Guzman, Ignacio
    Piattini, Mario
    ENTERPRISE INFORMATION SYSTEMS, 2011, 5 (03) : 301 - 335
  • [42] Process Spaceship: Discovering and Exploring Process Views from Event Logs in Data Spaces
    Motahari, Hamid
    Benatallah, Boualem
    Saint -Paul, Regis
    Casati, Fabio
    Andritsos, Periklis
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2008, 1 (02): : 1412 - 1415
  • [43] Ontology-Based Data Access for Extracting Event Logs from Legacy Data: The onprom Tool and Methodology
    Calvanese, Diego
    Kalayci, Tahir Emre
    Montali, Marco
    Tinella, Stefano
    BUSINESS INFORMATION SYSTEMS (BIS 2017), 2017, 288 : 220 - 236
  • [44] LogCluster - A Data Clustering and Pattern Mining Algorithm for Event Logs
    Vaarandi, Risto
    Pihelgas, Mauno
    2015 11TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM), 2015, : 1 - 7
  • [45] Mining Uncertain Event Data in Process Mining
    Pegoraro, Marco
    van der Aalst, Wil M. P.
    2019 INTERNATIONAL CONFERENCE ON PROCESS MINING (ICPM 2019), 2019, : 89 - 96
  • [46] Mining workflow recovery from event based logs
    Gaaloul, W
    Godart, C
    BUSINESS PROCESS MANAGEMENT, PROCEEDINGS, 2005, 3649 : 169 - 185
  • [47] Mining Batch Activation Rules from Event Logs
    Martin, Niels
    Solti, Andreas
    Mendling, Jan
    Depaire, Benoit
    Caris, An
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2021, 14 (06) : 1837 - 1848
  • [48] Mining Periodic Patterns from Nested Event Logs
    Getta, Janusz R.
    Zimniak, Marcin
    Benn, Wolfgang
    2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (CIT), 2014, : 160 - 167
  • [49] Mining Shift Work Operation from Event Logs
    Utama, Nur Ichsan
    Sutrisnowati, Riska Asriana
    Kamal, Imam Mustafa
    Bae, Hyerim
    Park, You-Jin
    APPLIED SCIENCES-BASEL, 2020, 10 (20): : 1 - 18
  • [50] Deciphering event logs in SharePoint Server: A methodology based on Process Mining
    Arias Chaves, Michael
    Rojas Cordoba, Eric
    PROCEEDINGS OF THE 2014 XL LATIN AMERICAN COMPUTING CONFERENCE (CLEI), 2014,