RAGEAR improves course recommendation ranking by fusing transcript retrieval with symbolic knowledge graph filtering and a custom aggregation function over a transcript-only baseline.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
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.
The authors created CEON, an ontology network defining cross-sectorial concepts for the circular economy to enable semantics-aware data documentation, demonstrated in construction, electronics, and textile sectors.
citing papers explorer
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RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender
RAGEAR improves course recommendation ranking by fusing transcript retrieval with symbolic knowledge graph filtering and a custom aggregation function over a transcript-only baseline.
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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.
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CEON: Circular Economy Ontology Network
The authors created CEON, an ontology network defining cross-sectorial concepts for the circular economy to enable semantics-aware data documentation, demonstrated in construction, electronics, and textile sectors.