The AI Expert Twin is a three-layer framework for representing expert procedural actions, semantic concepts, and decision processes including values and uncertainty, demonstrated feasible via a cultural heritage workshop case study for integration into AI learning systems.
Journal of Manufacturing Systems64, 372–389 (2022)
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Introduces a semantic grounding pipeline for multi-layered digital twins that converts metamodels to RDF graphs and applies the SSM-OM alignment method combining embeddings, lexical similarity, and LLM reasoning.
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AI Expert Twin: Capturing Expert Cognition for Human-Centred, Practice-Based Learning
The AI Expert Twin is a three-layer framework for representing expert procedural actions, semantic concepts, and decision processes including values and uncertainty, demonstrated feasible via a cultural heritage workshop case study for integration into AI learning systems.
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Semantic Grounding of Digital Twin Metamodels Using RDF Graphs
Introduces a semantic grounding pipeline for multi-layered digital twins that converts metamodels to RDF graphs and applies the SSM-OM alignment method combining embeddings, lexical similarity, and LLM reasoning.