Appendix M: Ontology requirements specification, refined version

This repository contains Appendix M of the master’s thesis titled “Use of LLMs for designing and implementing ontologies: a case study on the domain of Industry 5.0”. Appendix M presents a refined version of the ontology requirements specification, developed as two separate Ontology Requirements Specification Documents, one for the general Industry-Core ontology and one for the Industry 5.0 ontology. The repository includes four files: one document containing the complete Appendix M, one file containing only the prompt used in the study, one file containing the model response for the Industry-Core ontology requirements specification, and one file containing the model response for the Industry 5.0 ontology requirements specification.

Authors

Institutions

Publication Details

Journal
Open MIND
Published
2026-04-07
DOI
https://doi.org/10.5281/zenodo.18714306
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Appendix M: Ontology requirements specification, refined version

Martin Mitev, Panče Panov
Open MIND
Biomedical Text Mining and Ontologies
article

Appendix M: Ontology requirements specification, refined version

Martin Mitev, Panče Panov
article en

Abstract

This repository contains Appendix M of the master’s thesis titled “Use of LLMs for designing and implementing ontologies: a case study on the domain of Industry 5.0”. Appendix M presents a refined version of the ontology requirements specification, developed as two separate Ontology Requirements Specification Documents, one for the general Industry-Core ontology and one for the Industry 5.0 ontology. The repository includes four files: one document containing the complete Appendix M, one file containing only the prompt used in the study, one file containing the model response for the Industry-Core ontology requirements specification, and one file containing the model response for the Industry 5.0 ontology requirements specification.

Open MIND
Jožef Stefan Institute (SI), Jožef Stefan International Postgraduate School (SI)
Openalex Percentile: Top 62%
Biomedical Text Mining and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.