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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\u2019s 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.<\/jats:p>","DOI":"10.1007\/978-3-031-82225-4_3","type":"book-chapter","created":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T03:03:52Z","timestamp":1743303832000},"page":"31-43","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["EVErPREP: Towards an\u00a0Event Knowledge Graph Enhanced Workflow Model for\u00a0Event Log Preparation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-9163-0388","authenticated-orcid":false,"given":"Peter","family":"Filipp","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6857-7314","authenticated-orcid":false,"given":"Rene","family":"Dorsch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0702-510X","authenticated-orcid":false,"given":"Andreas","family":"Harth","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,28]]},"reference":[{"key":"3_CR1","doi-asserted-by":"publisher","unstructured":"Bozkaya, M., et al.: Process diagnostics: a method based on process mining. 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