A neuro-symbolic method using logic-augmented generation and active inference improves completeness and semantic quality when extracting tacit knowledge into machine-interpretable knowledge graphs for manufacturing procedures.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial In- telligence and Lecture Notes in Bioinformatics)14266 LNCS, 247 – 265 (2023)
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Tacit Knowledge Extraction via Logic Augmented Generation and Active Inference
A neuro-symbolic method using logic-augmented generation and active inference improves completeness and semantic quality when extracting tacit knowledge into machine-interpretable knowledge graphs for manufacturing procedures.