An AI-guided framework is developed that aligns AI-assisted metadata extraction with Dublin Core Terms and the FAIR principles for digital libraries, archives, and cultural-heritage repositories and is evaluated as a design-science artefact in which retrieval is not a side feature but a feedback loop.
The findings suggest that AI-based structured extraction may redefine how organisations formalise expertise, shifting from document-centric storage toward schema-driven knowledge architectures.
Dilyan Georgiev, E. Gourova· European Conference on Knowl...· 0 citations
The proposed architecture achieves double-digit improvements over a Naive RAG baseline across all four RAGAS metrics—Context Precision, Context Recall, Factual Correctness, and Faithfulness—with gains ranging from 13.10% to 28.15%; notably, Faithfulness surpasses 0.90 for Gemma-3-27B.
Alexandra V. Jove-Ticona, Luis J. Duarte-Coaquera, Israel N. Chaparro-Cruz et al.· International Journal of Adv...· 0 citations
An AI-assisted form for KG metadata curation that enables a more efficient curation workflow, leads to more complete metadata, and is preferred by participants over both baselines is presented.
M. Mohammadi, Anas Elghafari, Chang Sun et al.· 0 citations
An AI-driven pipeline for transforming the interviews from “Digitalne Ikone 20+” book from unstructured transcripts into a structured, semantically enriched, and queryable knowledge resource that allows researchers, students, and the public to explore cultural heritage interviews through intelligent querying, automated...
R. Stanković, Tamara Vučenović, Milica Ikonic-Nesic et al.· Computer Science and Informa...· 0 citations
The results demonstrate that, once a domain metamodel and expert-authored examples are available, few-shot code generation can extract legal metadata relationships without training a task-specific supervised model and can be adapted to unseen legislation.
Anmol Singhal, Travis D. Breaux· Requirements Engineering· 0 citations
A practical, quality-assured method for publishing KOS-related RFPs as context-bearing registry records is contributed by integrating a two-track pipeline—scripted page generation for structured fields and generative summarization for narrative RFP text—with HITL governance for expert verification and correction.
Ziyoung Park· Knowledge organization· 0 citations
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