遇见数据集

Collection of Semantic Event Logs based on OCEL 2.0 Datasets

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Zenodo2026-06-24 更新2026-06-28 收录
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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.

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2026-06-24
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