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Communication Dans Un Congrès Année : 2024

Can LLMs Generate Competency Questions?

Youssra Rebboud
Lionel Tailhardat
Pasquale Lisena
Raphaël Troncy

Résumé

Large Language Models have shown high performances in a large number of tasks, being recently applied also to support Knowledge Graphs construction. An important step for data modeling consists in the definition of a set of competency questions, which are often used as a guide for the development of an ontology and as a mean to evaluate the resulting schema. In this work, we investigate the suitability of LLMs for the automatic generation of competency questions given an existing ontology. We compare different large language models under various set-tings in order to give a comprehensive overview of what LLMs can do to support the knowledge engineer.
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Dates et versions

hal-04564055 , version 1 (30-04-2024)

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  • HAL Id : hal-04564055 , version 1

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Youssra Rebboud, Lionel Tailhardat, Pasquale Lisena, Raphaël Troncy. Can LLMs Generate Competency Questions?. ESWC 2024, Extended Semantic Web Conference, May 2024, Hersonissos, Greece. ⟨hal-04564055⟩

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