Appendix W: Annotation layer for individuals, refined version

This repository contains Appendix W 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 W presents the refined annotation layer for individuals, adding natural language comments to the generated individuals in both the Industry-Core ontology and the Industry 5.0 ontology in order to clarify their meaning and support interpretation. The repository includes four files: one document containing the complete Appendix W, one file containing only the prompt used in the study, one file containing the model response for the Industry-Core ontology, and one file containing the model response for the Industry 5.0 ontology.

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Publication Details

Journal
Open MIND
Published
2026-04-07
DOI
https://doi.org/10.5281/zenodo.18714698
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Appendix W: Annotation layer for individuals, refined version

Martin Mitev, Panče Panov
Open MIND
Natural Language Processing Techniques
article

Appendix W: Annotation layer for individuals, refined version

Martin Mitev, Panče Panov
article en

Abstract

This repository contains Appendix W 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 W presents the refined annotation layer for individuals, adding natural language comments to the generated individuals in both the Industry-Core ontology and the Industry 5.0 ontology in order to clarify their meaning and support interpretation. The repository includes four files: one document containing the complete Appendix W, one file containing only the prompt used in the study, one file containing the model response for the Industry-Core ontology, and one file containing the model response for the Industry 5.0 ontology.

Open MIND
Jožef Stefan Institute (SI), Jožef Stefan International Postgraduate School (SI)
Zero hunger
Openalex Percentile: Top 65%
Natural Language Processing Techniques
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