Development of Ontological Knowledge Bases by Leveraging Large Language Models

Le Ngoc Luyen, Marie-Hélène Abel, Philippe Gouspillou
1/15/2026
cs.IRcs.AI

No official code found. Best implementation: lengocluyen/ucpo_okb (1 star, last commit 2025-05-09).

Abstract

Ontological Knowledge Bases (OKBs) play a vital role in structuring domain-specific knowledge and serve as a foundation for effective knowledge management systems. However, their traditional manual development poses significant challenges related to scalability, consistency, and adaptability. Recent advancements in Generative AI, particularly Large Language Models (LLMs), offer promising solutions for automating and enhancing OKB development. This paper introduces a structured, iterative methodology leveraging LLMs to optimize knowledge acquisition, automate ontology artifact generation, and enable continuous refinement cycles. We demonstrate this approach through a detailed case study focused on developing a user context profile ontology within the vehicle sales domain. Key contributions include significantly accelerated ontology construction processes, improved ontological consistency, effective bias mitigation, and enhanced transparency in the ontology engineering process. Our findings highlight the transformative potential of integrating LLMs into ontology development, notably improving scalability, integration capabilities, and overall efficiency in knowledge management systems.

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Code Implementations(1)

lengocluyen/ucpo_okbCommunity65%

This repository accompanies the research paper “Development of Ontological Knowledge Bases by Leveraging Large Language Models.” It provides all the necessary resources to reproduce the methodology and results presented in our case study on the development of the User Contextual Profile Ontology (UCPO) in the vehicle sales domain.

10May 9, 20251 years ago

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Cite this paper

@article{luyen2026development,
  title  = {Development of Ontological Knowledge Bases by Leveraging Large Language Models},
  author = {Le Ngoc Luyen and Marie-Hélène Abel and Philippe Gouspillou},
  year   = {2026},
  eprint = {2601.10436},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2601.10436v1}
}

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