Implementing Object-Centric Event Data Models in Event Knowledge Graphs

Ava Swevels; Dirk Fahland; Marco Montali

doi:10.1007/978-3-031-56107-8_33

Implementing Object-Centric Event Data Models in Event Knowledge Graphs

Ava Swevels (Corresponding author), Dirk Fahland, Marco Montali

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

24 Downloads (Pure)

Abstract

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 language	English
Title of host publication	Process Mining Workshops
Subtitle of host publication	ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers
Editors	Johannes De Smedt, Pnina Soffer
Place of Publication	Cham
Publisher	Springer
Pages	431-443
Number of pages	13
ISBN (Electronic)	978-3-031-56107-8
ISBN (Print)	978-3-031-56106-1
DOIs	https://doi.org/10.1007/978-3-031-56107-8_33
Publication status	Published - 13 Apr 2024
Event	International workshops which were held in conjunction with 5th International Conference on Process Mining, ICPM 2023 - Rome, Italy Duration: 23 Oct 2023 → 27 Oct 2023

Publication series

Name	Lecture Notes in Business Information Processing (LNBIP)
Volume	503
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	International workshops which were held in conjunction with 5th International Conference on Process Mining, ICPM 2023
Country/Territory	Italy
City	Rome
Period	23/10/23 → 27/10/23

Funding

The research underlying this paper was partially supported by AutoTwin EU GA n. 101092021.

Keywords

ELT Framework
Event Knowledge Graph
OCED
PG-Schema
Semantic Header

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10.1007/978-3-031-56107-8_33

pdfFinal published version, 859 KBLicence: TAVERNE

Cite this

Swevels, A., Fahland, D., & Montali, M. (2024). Implementing Object-Centric Event Data Models in Event Knowledge Graphs. In J. De Smedt, & P. Soffer (Eds.), Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers (pp. 431-443). (Lecture Notes in Business Information Processing (LNBIP); Vol. 503). Springer. https://doi.org/10.1007/978-3-031-56107-8_33

Swevels, Ava ; Fahland, Dirk ; Montali, Marco. / Implementing Object-Centric Event Data Models in Event Knowledge Graphs. Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers. editor / Johannes De Smedt ; Pnina Soffer. Cham : Springer, 2024. pp. 431-443 (Lecture Notes in Business Information Processing (LNBIP)).

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abstract = "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.",

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Swevels, A , Fahland, D & Montali, M 2024, Implementing Object-Centric Event Data Models in Event Knowledge Graphs. in J De Smedt & P Soffer (eds), Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers. Lecture Notes in Business Information Processing (LNBIP), vol. 503, Springer, Cham, pp. 431-443, International workshops which were held in conjunction with 5th International Conference on Process Mining, ICPM 2023, Rome, Italy, 23/10/23. https://doi.org/10.1007/978-3-031-56107-8_33

Implementing Object-Centric Event Data Models in Event Knowledge Graphs. / Swevels, Ava (Corresponding author); Fahland, Dirk; Montali, Marco.
Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers. ed. / Johannes De Smedt; Pnina Soffer. Cham: Springer, 2024. p. 431-443 (Lecture Notes in Business Information Processing (LNBIP); Vol. 503).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Swevels A , Fahland D, Montali M. Implementing Object-Centric Event Data Models in Event Knowledge Graphs. In De Smedt J, Soffer P, editors, Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers. Cham: Springer. 2024. p. 431-443. (Lecture Notes in Business Information Processing (LNBIP)). doi: 10.1007/978-3-031-56107-8_33

Implementing Object-Centric Event Data Models in Event Knowledge Graphs

Abstract

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Keywords

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