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Article In: Terminology: Online-First Articles

Enriching the EuSO ontology through GenAI-based terminological selection and conceptualisation

 | Universidad de Granada
 | Universidad de Granada
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Abstract
In academic and institutional contexts, the management and structuring of specialised knowledge are essential to support effective communication and internationalisation. Traditionally, ontology development and ontology-driven terminology work have relied on expert-based manual processes and corpus analysis techniques. However, recent advances in generative artificial intelligence (GenAI) and large language models (LLMs) have opened new possibilities for supporting knowledge representation tasks. In this context, this study explores the use of a customised GenAI-based chatbot for assisting ontology development in the domain of European higher education. Specifically, The Ontology Assistant, built on ChatGPT-5.2 and enriched with a domain-specific corpus, was designed to support the identification and structuring of ontological categories within the EuroScholar Ontology (EuSO). The model’s performance was evaluated through six experimental runs using a gold standard derived from a selected ontological category. Precision, recall, and F1-measure were used to assess category retrieval. The results show consistent behaviour across runs, characterised by high recall and low precision, reflecting the exploratory capacity of the chatbot to identify candidate ontological categories. These findings suggest that GenAI chatbots can function as useful support tools within ontology development workflows, provided that expert intervention is applied to verify and maintain alignment with the EuSO.
Article outline
  • 1.Introduction
  • 2.Theoretical framework
    • 2.1Ontologies as models for knowledge representation in terminology
    • 2.2GenAI and ontology development in specialised domains
  • 3.Materials and method
    • 3.1Sketch Engine and the EHEA Corpus
    • 3.2The euroscholar ontology
    • 3.3The ontology assistant
    • 3.4Evaluation
      • 3.4.1Gold Standard
      • 3.4.2Evaluation metrics for category retrieval performance
  • 4.Results and discussion
    • 4.1Prompt 1: Simple extraction setting
    • 4.2Prompt 2: Definition-enhanced Extraction Setting
    • 4.3Validation of results
  • 6.Conclusions
  • Note
  • Author queries
  • References
References (59)
References
Alobaidi, M., K. M. Malik, and S. Sabra. 2018. “Linked Open Data-Based Framework for Automatic Biomedical Ontology Generation.” BMC Bioinformatics 19 (1): 319. Google Scholar logo with link to Google Scholar
Buendía Castro, M., and J. M. Ureña Gómez-Moreno. 2010. “¿Cómo diseñar un corpus de calidad?” Sendebar 21: 165–180.Google Scholar logo with link to Google Scholar
Castillo-Pérez, E. 2025. Modelo ontológico para el EEES: Propuesta para Arqus Termbase. Doctoral thesis, Repositorio Institucional de la Universidad de Granada. [URL]
Castillo-Pérez, E., and S. Montero-Martínez. 2025. “Designing a termbase in the context of European higher education: The Arqus Termbase.” Terminology 31(1): 132–166. Google Scholar logo with link to Google Scholar
Durán-Muñoz, I., and M. R. Bautista-Zambrana. 2013. “Applying Ontologies to Terminology: Advantages and Disadvantages.” Hermes — Journal of Language and Communication in Business 51: 65–77.Google Scholar logo with link to Google Scholar
El Idrissi, B., S. Baïna, and K. Baïna. 2013. “Automatic Generation of Ontology from Data Models: A Practical Evaluation of Existing Approaches.” In 2013 IEEE Seventh International Conference on Research Challenges in Information Science (RCIS), 1–12. Google Scholar logo with link to Google Scholar
Elnagar, S., V. Yoon, and M. A. Thomas. 2020. “An Automatic Ontology Generation Framework with an Organizational Perspective.” In Proceedings of the 53rd Hawaii International Conference on System Sciences, 4860–4869. Google Scholar logo with link to Google Scholar
Estany, A. 2001. “La conceptualización de la realidad.” In Terminología y cognición. II Simposio Internacional de Verano de Terminología (13–16 de julio de 1999), ed. by M. T. Cabré and J. Feliu. Barcelona: Institut Universitari de Lingüística Aplicada, Universitat Pompeu Fabra.Google Scholar logo with link to Google Scholar
Faber, P., and P. León-Araúz. 2024. “From Specialized Knowledge Frames to Linguistically Based Ontologies.” Applied Ontology 19 (1): 23–45. Google Scholar logo with link to Google Scholar
Fernández-López, M., A. Gómez-Pérez, and N. Juristo. 1997. “METHONTOLOGY: From Ontological Art Towards Ontological Engineering.” AAAI Conference on Artificial Intelligence, Stanford.Google Scholar logo with link to Google Scholar
Fürst, F., and F. Trichet. 2006. “Heavyweight Ontology Engineering.” In On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science 4277, ed. by R. Meersman, Z. Tari, and P. Herrero, 38–39. Berlin: Springer-Verlag. Google Scholar logo with link to Google Scholar
Gao, Y., R. Wang, and F. Hou. 2023. “How to Design Translation Prompts for ChatGPT: An Empirical Study.” arXiv. [URL]
Gromann, D., B. Heinisch, L. Wachowiak, and C. Lang. 2023. “A novel way of extracting full-fledged terminologies from multilingual texts.” Lexicographica 39(1): 209–223. Google Scholar logo with link to Google Scholar
Gruber, T. R. 1993. “A translation approach to portable ontology specifications.” Knowledge Acquisition 5 (2), 199–220. Google Scholar logo with link to Google Scholar
Guarino, N., D. Oberle, and S. Staab. 2009. “What Is an Ontology?” In Handbook on Ontologies, 1–17. Berlin: Springer. Google Scholar logo with link to Google Scholar
Heinisch, B. 2014. “University Terminology: Why It Is Not Just Higher Education Terminology.” In Proceedings of the 19th European Symposium on Languages for Special Purposes, ed. by G. Budin and V. Lušicky, 429–433. University of Vienna.Google Scholar logo with link to Google Scholar
2025. “Large Language Models for Terminology Work: A Question of the Right Prompt?” Journal for Language Technology and Computational Linguistics 38 (2): 13–30. Google Scholar logo with link to Google Scholar
Hofer, M., D. Obraczka, A. Saeedi, H. Köpcke, and E. Rahm. 2024. “Construction of Knowledge Graphs: Current State and Challenges.” Information 15 (8): 509. Google Scholar logo with link to Google Scholar
Hu, H., and D.-Y. Liu. 2004. “Learning OWL Ontologies from Free Texts.” In Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No. 04EX826), vol. 2, 1233–1237. Shanghai, China. Google Scholar logo with link to Google Scholar
Jiao, W., W. Wang, J.-T. Huang, X. Wang, S. Shi, and Z. Tu. 2023. “Is ChatGPT a Good Translator? Yes with GPT-4 as the Engine.” arXiv. [URL]
John, B. 2025. “Editorial: Special Issue on Ontologies and Large-Language Models.” Applied Ontology 19 (4): 309–310. Google Scholar logo with link to Google Scholar
Kong, H., M. Hwang, and P. Kim. 2006. “Design of the Automatic Ontology Building System about the Specific Domain Knowledge.” In Proceedings of the 8th International Conference on Advanced Communication Technology, 1404–1408.Google Scholar logo with link to Google Scholar
Kremer, S., L. M. Kolbe, and W. Brenner. 2005. “Towards a Procedure Model in Terminology Management.” Journal of Documentation 61 (2): 281–295. Google Scholar logo with link to Google Scholar
Lan, M., J. Xu, et al. 2016. “Ontology Feature Extraction via Vector Learning Algorithm and Applied to Similarity Measuring and Ontology Mapping.” IAENG International Journal of Computer Science 43 (1): 10–19.Google Scholar logo with link to Google Scholar
Losey-León, M. A., and G. Corpas-Pastor. 2023. “Organización y representación ontológica del conocimiento especializado.” In La terminología del dominio de la seguridad de la navegación marítima en inglés y en español: Formalización ontológica a partir de recursos digitales y corpus especializados, 21–117. Berlin: Peter Lang.Google Scholar logo with link to Google Scholar
Ma, Z., H. Cheng, and L. Yan. 2019. “Automatic Construction of OWL Ontologies from Petri Nets.” International Journal on Semantic Web and Information Systems 15 (1): 21–51. Google Scholar logo with link to Google Scholar
Madsen, B. N., and H. E. Thomsen. 2009. “Terminological concept modelling and conceptual data modelling.” Int. J. Metadata, Semantics and Ontologies 4 (4): 239–249. Google Scholar logo with link to Google Scholar
Meijer, K., F. Frasincar, and F. Hogenboom. 2014. “A Semantic Approach for Extracting Domain Taxonomies from Text.” Decision Support Systems 62: 78–93. Google Scholar logo with link to Google Scholar
Mihindukulasooriya, N., S. Tiwari, C. F. Enguix, and K. Lata. 2023. “Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text.” In Proceedings of the International Workshop on the Semantic Web. Google Scholar logo with link to Google Scholar
Mizoguchi, R., J. Vanwelkenhuysen, and M. Ikeda. 1995. “Task Ontology for Reuse of Problem Solving Knowledge.” In Towards Very Large Knowledge Bases, ed. by N. J. I. Mars, 46–59. Amsterdam: IOS Press.Google Scholar logo with link to Google Scholar
Montero-Martínez, S. 2023a. “UGRTerm®: gestión terminológica para el ámbito académico.” In Traducción e interpretación especializadas en ámbito panhispánico, ed. by Piotr Sorbet and Verónica del Valle Cacela, 177–190. Warszawa: Peter Lang.Google Scholar logo with link to Google Scholar
2023b. “Training Corporate and Institutional Terminologists: A Case Study at the University of Granada.” The Interpreter and Translator Trainer 17 (3): 412–433. Google Scholar logo with link to Google Scholar
Moreno-Ortiz, A. 2008. “Ontologías para la terminología: por qué, cuándo, cómo.” Tradumàtica 6.Google Scholar logo with link to Google Scholar
Neuhaus, F. 2023. “Ontologies in the Era of Large Language Models: A Perspective.” Applied Ontology 18 (4): 399–407. Google Scholar logo with link to Google Scholar
Noy, N. F., and D. L. McGuinness. 2001. “Ontology Development 101: A Guide to Creating Your First Ontology.” [URL]
OpenAI. 2023. “GPT-4 Technical Report.” arXiv. [URL]
Ortiz-Garduño, H., and E. Castillo-Pérez. 2026a. “Exploring Terminological Variation Using a GenAI-Based Chatbot: The Concept of COMPETENCE in Higher Education.” In Proceedings of the 5th International Conference on Multilingual Digital Terminology Today (MDTT 2026), ed. by F. Vezzani, G.M Di Nunzio, L. Grčić, A. Ostroški, and V. Bonato. CEUR Workshop Proceedings 4219.Google Scholar logo with link to Google Scholar
. 2026b. “GutBrainTerm_Extractor: Generative AI for Medical Terminology Extraction in the Gut–Brain Domain.” In Proceedings of the DEfinition and Term Extraction CHallenge (DETECH 2026), ed. by F. Vezzani, G. M. Di Nunzio, V. Bonato, and G. Silvello. CEUR Workshop Proceedings 4215.Google Scholar logo with link to Google Scholar
Pan, S., L. Luo, Y. Wang, C. Chen, J. Wang, and X. Wu. 2024. “Unifying Large Language Models and Knowledge Graphs: A Roadmap.” IEEE Transactions on Knowledge and Data Engineering 36: 3580–3599. [URL].
Peeters, K., J. Daems, C. Plieseis, M. I. Rivas Ginel, and M. Şahin. 2025. AI for Translation and Interpreting: A Roadmap for Users and Policy Makers. European Language Council. Google Scholar logo with link to Google Scholar
Roche, C. 2007. “Le terme et le concept: fondements d’une ontoterminologie.” In Terminologie & ontologie: théories et applications (TOTh), 1–22.Google Scholar logo with link to Google Scholar
Sahari, Yousef, Abdu M. T. Al-Kadi, and Jamak K. M. Ali. 2023. “A Cross-Sectional Study of ChatGPT in Translation: Magnitude of Use, Attitudes, and Uncertainties.” Journal of Psycholinguistic Research 52 (6): 2937–2954. Google Scholar logo with link to Google Scholar
San Martín, A. 2024. “What Generative Artificial Intelligence Means for Terminological Definitions.” In Proceedings of the 3rd International Conference on Multilingual Digital Terminology Today (MDTT 2024). Google Scholar logo with link to Google Scholar
Schmitz, K.-D., and D. Straub. 2018. Successful Terminology Management in Companies. Stuttgart: tcworld GmbH.Google Scholar logo with link to Google Scholar
Shimizu, C., and P. Hitzler. 2025. “Accelerating Knowledge Graph and Ontology Engineering with Large Language Models.” Journal of Web Semantics 85: 100862. Google Scholar logo with link to Google Scholar
Shirky, C. 2005. “Ontology is Overrated -- Categories, Links, and Tags.” [URL]
Studer, R., V. R. Benjamins, and D. Fensel. 1998. “Knowledge Engineering: Principles and Methods.” Data & Knowledge Engineering 25 (1–2): 161–197. Google Scholar logo with link to Google Scholar
Taylor, J. 1995. Linguistic Categorisation: Prototypes in Linguistic Theory. Cambridge University Press.Google Scholar logo with link to Google Scholar
Temmerman, R., and K. Kerremans. 2003. “Termontography: Ontology Building and the Sociocognitive Approach to Terminology Description.” In Proceedings of CIL17, ed. by E. Hajičová, A. Kotešovcová, and J. Mírovský, 1–10. Prague: Matfyzpress.Google Scholar logo with link to Google Scholar
UNESCO. 2023. Guidance for Generative AI in Education and Research. Paris: UNESCO. Google Scholar logo with link to Google Scholar
Uschold, M., and M. King. 1995. “Towards a Methodology for Building Ontologies.” In IJCAI’95 Workshop on Basic Ontological Issues in Knowledge Sharing, ed. by D. Skuce, 6.1–6.10. University of Edinburgh.Google Scholar logo with link to Google Scholar
Van Heijst, G., A. T. Schreiber, and B. J. Wielinga. 1997. “Using Explicit Ontologies in KBS Development.” International Journal of Human-Computer Studies 45: 183–192. Google Scholar logo with link to Google Scholar
Varantola, K. 2002. “Disposable Corpora as Intelligent Tools in Translation.” Cadernos de Tradução 9: 171–189. [URL]
Vargas-Sierra, C. 2007. “El léxico especializado y las ontologías.” In Las lenguas profesionales y académicas, ed. by E. Alcaraz Varó, J. Mateo Martínez, and F. Yus Ramos, 41–52. Barcelona: Ariel.Google Scholar logo with link to Google Scholar
Villares, R. 2019. “The Role of Language Policy Documents in the Internationalisation of Multilingual Higher Education: An Exploratory Corpus-Based Study.” Languages 4 (3): 56. Google Scholar logo with link to Google Scholar
Wielinga, B. J., and A. T. Schreiber. 1993. “Reusable and Sharable Knowledge Bases: A European Perspective.” In Proceedings of the First International Conference on Building and Sharing of Very Large-Scaled Knowledge Bases. Tokyo: Japan Information Processing Development Center.Google Scholar logo with link to Google Scholar
Zeng, M. L. 2008. “Knowledge Organization Systems (KOS).” Knowledge Organisation 35 (2): 160–182. Google Scholar logo with link to Google Scholar
Zhao, B., W. Jin, J. Del Ser, and G. Yang. 2023. “ChatAgri: Exploring Potentials of ChatGPT on Cross-Linguistic Agricultural Text Classification.” Neurocomputing 557: 126708. Google Scholar logo with link to Google Scholar
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