Authors:
Daniel Lichtnow
1
;
Ana Marilza Pernas Fleischmann
2
;
Leonardo Vianna do Nascimento
3
;
Guilherme Medeiros Machado
4
and
José Moreira de Oliveira
5
Affiliations:
1
Universidade Federal de Santa Maria (UFSM), Santa Maria/RS, Brazil
;
2
Universidade Federal de Pelotas (UFPel), Pelotas/RS, Brazil
;
3
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS), Alvorada/RS, Brazil
;
4
LyRIDS lab, ECE Engineering School, Paris, France
;
5
Universidade Federal do Rio Grande do Sul (UFRGS), Instituto de Informática - PPGC, Porto Alegre/RS, Brazil
Keyword(s):
Semantic Web, Large Language Model (LLM), Smart Campus, Ontology Patterns.
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.