Implementing Object-Centric Event Data Models in Event Knowledge Graphs.

Ava Swevels, Dirk Fahland, Marco Montali

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

1 Citation (Scopus)


Recent advances in object-centric process mining necessitated the standardization of object-centric event data (OCED). An IEEE taskforce has developed a “meta-model” for OCED, but there is no existing reference implementation or automated techniques to transform legacy data into OCED. This task requires domain-specific knowledge about the semantics of the legacy data in order to make explicit how events act on various inter-related data objects and their attributes. We propose a semantic header that defines how extracted legacy data maps to OCED concepts and the domain-specific reference ontology using PG-schema. We automatically translate the header into database queries to construct an event knowledge graph that is compliant with OCED and the domain ontology using a declarative extract-load-transform approach. The approach has been implemented and demonstrated on 7 real-life datasets, making it one of the first attempts to make OCED operational.

Original languageEnglish
Title of host publicationProcess Mining Workshops - ICPM 2023 International Workshops, 2023, Revised Selected Papers
EditorsJohannes De Smedt, Pnina Soffer
Number of pages13
Publication statusPublished - 2024

Publication series

NameLecture Notes in Business Information Processing
Volume503 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Bibliographical note

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  • ELT Framework
  • Event Knowledge Graph
  • OCED
  • PG-Schema
  • Semantic Header


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