Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG

Ava Swevels; Eva L. Klijn; Dirk Fahland

Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG

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

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Abstract

PromG is an extensible Python library for managing and enriching object-centric event data (OCED) and for developing object-centric process mining (OCPM) techniques. It does so by using Event Knowledge Graphs, which model process-related concepts as a property graph in a Neo4j database. The library automatically generates Cypher queries to transform, enhance, and manipulate object-centric event data, giving analysts a straightforward way to explore and analyze object-centric processes. To enable others to develop OCPM techniques, the library is available as a Python package on PyPi and has been tested with real-life examples.

Original language	English
Title of host publication	ICPM-D 2023 : ICPM Doctoral Consortium and Demo Track 2023
Subtitle of host publication	Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023)
Editors	Jan Martijn E.M. van der Werf, Cristina Cabanillas, Francesco Leotta, Laura Genga
Publisher	CEUR-WS.org
Number of pages	5
Publication status	Published - 2023
Event	Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023, ICPM-D 2023 - Rome, Italy Duration: 27 Oct 2023 → 27 Oct 2023

Publication series

Name	CEUR Workshop Proceedings
Volume	3648
ISSN (Electronic)	1613-0073

Conference

Conference	Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023, ICPM-D 2023
Abbreviated title	ICPM-D 2023
Country/Territory	Italy
City	Rome
Period	27/10/23 → 27/10/23

Keywords

Event Knowledge Graphs
Neo4j
Object-Centric Event Data
Object-Centric Process Mining

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Swevels, A., Klijn, E. L., & Fahland, D. (2023). Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG. In J. M. E. M. van der Werf, C. Cabanillas, F. Leotta, & L. Genga (Eds.), ICPM-D 2023 : ICPM Doctoral Consortium and Demo Track 2023: Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023) (CEUR Workshop Proceedings; Vol. 3648). CEUR-WS.org. https://ceur-ws.org/Vol-3648/paper_9922.pdf

Swevels, Ava ; Klijn, Eva L. ; Fahland, Dirk. / Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG. ICPM-D 2023 : ICPM Doctoral Consortium and Demo Track 2023: Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023). editor / Jan Martijn E.M. van der Werf ; Cristina Cabanillas ; Francesco Leotta ; Laura Genga. CEUR-WS.org, 2023. (CEUR Workshop Proceedings).

@inproceedings{df3e69718b3e45c1a4e2e7688fde4307,

title = "Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG",

abstract = "PromG is an extensible Python library for managing and enriching object-centric event data (OCED) and for developing object-centric process mining (OCPM) techniques. It does so by using Event Knowledge Graphs, which model process-related concepts as a property graph in a Neo4j database. The library automatically generates Cypher queries to transform, enhance, and manipulate object-centric event data, giving analysts a straightforward way to explore and analyze object-centric processes. To enable others to develop OCPM techniques, the library is available as a Python package on PyPi and has been tested with real-life examples.",

keywords = "Event Knowledge Graphs, Neo4j, Object-Centric Event Data, Object-Centric Process Mining",

author = "Ava Swevels and Klijn, \{Eva L.\} and Dirk Fahland",

year = "2023",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS.org",

editor = "\{van der Werf\}, \{Jan Martijn E.M.\} and Cristina Cabanillas and Francesco Leotta and Laura Genga",

booktitle = "ICPM-D 2023 : ICPM Doctoral Consortium and Demo Track 2023",

note = "Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023, ICPM-D 2023, ICPM-D 2023 ; Conference date: 27-10-2023 Through 27-10-2023",

}

Swevels, A , Klijn, EL & Fahland, D 2023, Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG. in JMEM van der Werf, C Cabanillas, F Leotta & L Genga (eds), ICPM-D 2023 : ICPM Doctoral Consortium and Demo Track 2023: Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023). CEUR Workshop Proceedings, vol. 3648, CEUR-WS.org, Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023, ICPM-D 2023, Rome, Italy, 27/10/23. <https://ceur-ws.org/Vol-3648/paper_9922.pdf>

Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG. / Swevels, Ava ; Klijn, Eva L.; Fahland, Dirk.
ICPM-D 2023 : ICPM Doctoral Consortium and Demo Track 2023: Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023). ed. / Jan Martijn E.M. van der Werf; Cristina Cabanillas; Francesco Leotta; Laura Genga. CEUR-WS.org, 2023. (CEUR Workshop Proceedings; Vol. 3648).

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

TY - GEN

T1 - Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG

AU - Swevels, Ava

AU - Klijn, Eva L.

AU - Fahland, Dirk

PY - 2023

Y1 - 2023

N2 - PromG is an extensible Python library for managing and enriching object-centric event data (OCED) and for developing object-centric process mining (OCPM) techniques. It does so by using Event Knowledge Graphs, which model process-related concepts as a property graph in a Neo4j database. The library automatically generates Cypher queries to transform, enhance, and manipulate object-centric event data, giving analysts a straightforward way to explore and analyze object-centric processes. To enable others to develop OCPM techniques, the library is available as a Python package on PyPi and has been tested with real-life examples.

AB - PromG is an extensible Python library for managing and enriching object-centric event data (OCED) and for developing object-centric process mining (OCPM) techniques. It does so by using Event Knowledge Graphs, which model process-related concepts as a property graph in a Neo4j database. The library automatically generates Cypher queries to transform, enhance, and manipulate object-centric event data, giving analysts a straightforward way to explore and analyze object-centric processes. To enable others to develop OCPM techniques, the library is available as a Python package on PyPi and has been tested with real-life examples.

KW - Event Knowledge Graphs

KW - Neo4j

KW - Object-Centric Event Data

KW - Object-Centric Process Mining

UR - https://www.scopus.com/pages/publications/85188289042

UR - https://github.com/promg-dev

M3 - Conference contribution

AN - SCOPUS:85188289042

T3 - CEUR Workshop Proceedings

BT - ICPM-D 2023 : ICPM Doctoral Consortium and Demo Track 2023

A2 - van der Werf, Jan Martijn E.M.

A2 - Cabanillas, Cristina

A2 - Leotta, Francesco

A2 - Genga, Laura

PB - CEUR-WS.org

T2 - Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023, ICPM-D 2023

Y2 - 27 October 2023 through 27 October 2023

ER -

Swevels A , Klijn EL , Fahland D. Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG. In van der Werf JMEM, Cabanillas C, Leotta F, Genga L, editors, ICPM-D 2023 : ICPM Doctoral Consortium and Demo Track 2023: Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023). CEUR-WS.org. 2023. (CEUR Workshop Proceedings).

Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG

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