arXiv · 2507.02914
OAK -- Onboarding with Actionable Knowledge
Abstract
The loss of knowledge when skilled operators leave poses a critical issue for companies. This know-how is diverse and unstructured. We propose a novel method that combines knowledge graph embeddings and multi-modal interfaces to collect and retrieve expertise, making it actionable. Our approach supports decision-making on the shop floor. Additionally, we leverage LLMs to improve query understanding and provide adapted answers. As application case studies, we developed a proof-of-concept for quality control in high precision manufacturing.
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Steve Devènes, Marine Capallera, Robin Cherix, Elena Mugellini, Omar Abou Khaled, Francesco Carrino. 2025-06-25. OAK -- Onboarding with Actionable Knowledge. https://arxiv.org/abs/2507.02914
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