Uncovering Object-Centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL

Article Computer Science, Information Systems

Multi-Dimensional Event Data in Graph Databases

Stefan Esser et al.

Summary: This paper introduces a general data model for multi-dimensional event data based on labeled property graphs, allowing storage of structural and temporal relations in a systematic way. By providing semantics and generic queries, it enables modeling of multiple entities in multi-dimensional event data.

JOURNAL ON DATA SEMANTICS (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

OCEL: A Standard for Object-Centric Event Logs

Anahita Farhang Ghahfarokhi et al.

Summary: The application of process mining techniques to real-life information systems can be challenging, especially in complex processes like Purchase to Pay (P2P). Object-centric event logs, such as OCEL, offer a solution to convergence and divergence problems by allowing events to be related to different objects. This format provides a generic and scalable approach for storing object-centric event logs, with support for both JSON and XML.

NEW TRENDS IN DATABASE AND INFORMATION SYSTEMS, ADBIS 2021 (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

Extracting Semantic Process Information from the Natural Language in Event Logs

Adrian Rebmann et al.

Summary: Process mining involves analyzing event data to understand business process execution. Advanced techniques require specific information which is often not readily available and needs automated support for extraction, enabling advanced process mining techniques.

ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2021) (2021)

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Article Computer Science, Software Engineering