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Collection of Semantic Event Logs based on OCEL 2.0 Datasets
Faculty
Contributor(s):
Publisher Information:
Zenodo
Year of publication:
2026
Language:
English
Abstract:
This record contains OWL 2 ontologies generated with semlog, an open-source Pythonlibrary that converts Object-Centric Event Data (OCED / OCEL 2.0) into enriched OWL 2ontologies.
Each item is a ZIP archive containing a single `.owl` ontology built from a publiclyavailable OCEL dataset. The underlying logs are not authored by us. Please also citethe original dataset authors when reusing these artifacts.
Contents & Original Datasets
ContainerLogistics.zipOrderManagement.zipO2C.zipP2P.zipOcel2 P2P.zip Hinge.zipHiringHiring_High.zipHospital.zipHospital_High.zipLending_High.zipRenting_High.zipAOE2.zipAOE2_small.zipangular_github_commits_ocel.zipenron_top_10000.zipenron_top_100000.zipPeriod20_procedure_steps_all_additional_event_types.zipPeriod20_procedure_steps_all_additional_event_types_filtered.zipreasoning_benchmark.zip
Build Settings
Every ontology was built with semlog using the following command:
python scripts/build_onto.py \
--folder data/ocel \
--files <INPUT_FILE> \ # e.g. ContainerLogistics.json
--output data/onto \
--id-map-output data/id_map \
--oced-output data/oced \
--profile OWL2EL \
--order DF \
--case-concepts <OBJECT_TYPES...> \ # e.g. Customer_Order Transport_Document Container ...
--materialize \
--ocel-extensions ATTRIBUTE_HISTORY \
--data-representation values \
--inverse-representation IMPLICIT \
--derive-annotations
Acknowledgments:Funded by Bavarian Ministry of Economic Affairs (BayVFP), KIGA: DIK0313/02.
Each item is a ZIP archive containing a single `.owl` ontology built from a publiclyavailable OCEL dataset. The underlying logs are not authored by us. Please also citethe original dataset authors when reusing these artifacts.
Contents & Original Datasets
ContainerLogistics.zipOrderManagement.zipO2C.zipP2P.zipOcel2 P2P.zip Hinge.zipHiringHiring_High.zipHospital.zipHospital_High.zipLending_High.zipRenting_High.zipAOE2.zipAOE2_small.zipangular_github_commits_ocel.zipenron_top_10000.zipenron_top_100000.zipPeriod20_procedure_steps_all_additional_event_types.zipPeriod20_procedure_steps_all_additional_event_types_filtered.zipreasoning_benchmark.zip
Build Settings
Every ontology was built with semlog using the following command:
python scripts/build_onto.py \
--folder data/ocel \
--files <INPUT_FILE> \ # e.g. ContainerLogistics.json
--output data/onto \
--id-map-output data/id_map \
--oced-output data/oced \
--profile OWL2EL \
--order DF \
--case-concepts <OBJECT_TYPES...> \ # e.g. Customer_Order Transport_Document Container ...
--materialize \
--ocel-extensions ATTRIBUTE_HISTORY \
--data-representation values \
--inverse-representation IMPLICIT \
--derive-annotations
Acknowledgments:Funded by Bavarian Ministry of Economic Affairs (BayVFP), KIGA: DIK0313/02.
Type:
Dataset
Keywords: ; ; ; ; ; ;
Process Mining
Ontology
OWL2
Object-centric Process Mining
Object-centric Event Log
Object-centric Event Data
Semantic Event Log
Version:
1
Permalink
https://fis.uni-bamberg.de/handle/uniba/116530