The research focuses on context-sensitive knowledge management in industrial production environments. The process is viewed holistically, beginning with knowledge generation based on existing documents and employees. The acquired knowledge is then enriched with metadata from production-related systems and stored. Metadata is used context-dependently as filter criteria for situational knowledge provision via assistance systems.
Researcher
Yannick Rank, M. Sc.
Fachbereich Wirtschafts- und Sozialwissenschaften
Lange Gasse 20
90403 Nürnberg
Lange Gasse 20
90403 Nürnberg
- E-Mail: yannick.rank@fau.de
Publications
- Rank, Y., Streloke, L., Bründl, P., Bodendorf, F., & Franke, J. (2025). Large Language Models for Tacit Knowledge Elicitation in Industry 5.0: A Literature Review. In The Human Side of Service Engineering. AHFE International. https://doi.org/10.54941/ahfe1006404
- Streloke, L., Rank, Y., Bodendorf, F., Franke, J., & Bründl, P. (2025). Shopfloor Terminology for Retrieval-Augmented Generation (RAG): Aligning Operator Language with Engineering Knowledge. In Human Factors in Design, Engineering, and Computing. AHFE International. https://doi.org/10.54941/ahfe1006998
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