Pipeline for Ontology Construction Using a Large Language Model: A Smart Campus Use Case

Daniel Lichtnow, Ana Marilza Pernas Fleischmann, Leonardo Vianna do Nascimento, Guilherme Medeiros Machado, José Moreira de Oliveira

2025

Abstract

Developing Semantic Web ontologies is a complex endeavor that necessitates a deep understanding of a specific domain, proficiency with Semantic Web patterns, the use of ontology editors, and the exploration and reuse of relevant existing ontologies. This paper presents a pipeline for ontology construction, leveraging a Large Language Model (LLM). Our work intends not to create a new methodology for ontology construction, but to explore how these tools can assist in the ontology-building process, acknowledging that they may not fully automate it. The pipeline was designed through an experience report, following the steps outlined in a recognized ontology construction guide to ensure a degree of reproducibility. A complex use case, a Smart Campus, was chosen to illustrate this process. This experience paper aims to highlight new possibilities while addressing the challenges encountered.

Paper Citation

in Harvard Style

Lichtnow D., Fleischmann A., Vianna do Nascimento L., Machado G. and Moreira de Oliveira J. (2025). Pipeline for Ontology Construction Using a Large Language Model: A Smart Campus Use Case. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 97-104. DOI: 10.5220/0013096000003929

in Bibtex Style

@conference{iceis25,
author={Daniel Lichtnow and Ana Fleischmann and Leonardo Vianna do Nascimento and Guilherme Machado and José Moreira de Oliveira},
title={Pipeline for Ontology Construction Using a Large Language Model: A Smart Campus Use Case},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2025},
pages={97-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013096000003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Pipeline for Ontology Construction Using a Large Language Model: A Smart Campus Use Case
SN - 978-989-758-749-8
AU - Lichtnow D.
AU - Fleischmann A.
AU - Vianna do Nascimento L.
AU - Machado G.
AU - Moreira de Oliveira J.
PY - 2025
SP - 97
EP - 104
DO - 10.5220/0013096000003929
PB - SciTePress