Extracting event logs for process mining from data stored on the blockchain
| Autor: | Orlenys López-Pintado, Claudio Di Ciccio, Luciano García-Bañuelos, Stefan Bachhofner, Roman Mühlberger |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
050101 languages & linguistics
Blockchain Database business.industry Process (engineering) Computer science Event (computing) 05 social sciences ethereum process conformance process discovery process monitoring Process mining 02 engineering and technology computer.software_genre Business process management Business process discovery Software 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences business Raw data computer |
| Zdroj: | Business Process Management Workshops ISBN: 9783030374525 Business Process Management Workshops |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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