EVErPREP: Towards an Event Knowledge Graph Enhanced Workflow Model for Event Log Preparation

Event data preparation is a critical yet time-consuming phase in process mining projects, often slowed down by complex relational data models and a lack of domain knowledge. This paper presents EVErPREP, a novel workflow model that leverages Event Knowledge Graphs to enhance event data preparation for event logs. EVErPREP uses Semantic Web technologies to improve the exploration, extraction, and processing of event data, ultimately improving the quality and interpretability of event data and event logs. The approach is evaluated through a case study at Munich Airport’s Baggage Handling System, demonstrating its effectiveness in reducing complexity and improving explainability in event data preparation. By providing a more structured and semantically enriched foundation for process mining, EVErPREP showcases increased efficiency and effectiveness of process mining projects through a semantically enriched foundation.