On the Feasibility of LLM-based Automated Generation and Filtering of Competency Questions for Ontologies

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SPIRE - Sciences Po Institutional REpository
Published
2025-09-09
Primary Topic
Natural Language Processing Techniques
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article
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article

On the Feasibility of LLM-based Automated Generation and Filtering of Competency Questions for Ontologies

Nanée Chahinian, Zola Mahlaza, C. Maria Keet, Batoul Haydar
SPIRE - Sciences Po Institutional REpository
Natural Language Processing Techniques
article

On the Feasibility of LLM-based Automated Generation and Filtering of Competency Questions for Ontologies

Nanée Chahinian, Zola Mahlaza, C. Maria Keet, Batoul Haydar
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
University of Cape Town (ZA), Laboratoire HydroSciences Montpellier (FR), MeaningCloud (Spain) (ES)
Openalex Percentile: Top 84%
Natural Language Processing Techniques
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On the Feasibility of LLM-based Automated Generation and Filtering of Competency Questions for Ontologies — Nanée Chahinian, Zola Mahlaza, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS