A scalable and practical privacy-preserving framework

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Published May 12, 2025 | Version v1
Journal article Open

Large language models for intelligent RDF knowledge graph construction: results from medical ontology mapping

Creators

  • 1. ROR icon Aristotle University of Thessaloniki

Files

_Revision___Frontiers_in_Artificial_Intelligence___LLM_for_Intelligent_RDF_Knowledge_Graph_Construction__Results_from_Medical_Ontology_Mapping_.pdf

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Additional details

Identifiers

DOI
10.3389/frai.2025.1546179

Related works

Is supplement to
10.3389/frai.2025.1546179 (DOI)

Funding

European Commission
ENCRYPT - A SCALABLE AND PRACTICAL PRIVACY-PRESERVING FRAMEWORK 101070670

Dates

Accepted
2025-04-25

References

  • Mavridis, A., Tegos, S., Anastasiou, C., Papoutsoglou, M., & Meditskos, G. (2025). Large language models for intelligent RDF knowledge graph construction: results from medical ontology mapping. Frontiers in Artificial Intelligence, 8, 1546179.