Conference
Open access
Aug 2026
K-GRASP: Tacit Knowledge Externalisation with Language Models and Knowledge Graphs
This work proposes an architecture called K-GRASP (Knowledge Graph-based Retrieval-Augmented Structured Prompting), which combines the representational power of knowledge graphs (KG) with the probabilistic reasoning capabilities of Large Language Models (LLMs) to address the externalisation of tacit knowledge.
Rafael Luna, Gabriel S. Luna, C. E. Barbosa et al.
· European Conference on Knowl... · 0 citations