Abstract
Teaching content directly impacts the quality of individual courses and subjects, ultimately shaping the overall training quality. Training programs, in turn, play an important role in contributing to the university’s quality culture, brand, and reputation. Consequently, managing and developing university-level training programs is vital for the survival and growth of a university. Our study focuses on developing the ULTPOnt ontology suitable for representing training program frameworks and relevant components. This paper begins by introducing the ULTPOnt ontology. We then present additional axioms that we incorporated into ULTPOnt to bolster the validation of curriculum designs’ correctness. Finally, the CORESE semantic engine is utilized to show how our ontology can handle complex questions using SPARQL queries. This lets us retrieve specific information about training programs. As far as we know, this is a new way to represent university training programs using ontology.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chimalakonda, S., Nori, K.: An ontology based modeling framework for design of educational technologies. Smart Learn. Environ. 7 (2020). https://doi.org/10.1186/s40561-020-00135-6
Corby, O., et al.: Corese-Software platform for the Semantic Web of Linked Data. https://project.inria.fr/corese/. Accessed 15 Nov 2023
George, G., Lal, A.M.: Review of ontology-based recommender systems in e-learning. Comput. Educ. 142, 1–18 (2019). https://doi.org/10.1016/j.compedu.2019.103642
Knight, C., Gasevic, D., Richards, G.: An ontology-based framework for bridging learning design and learning content. Educ. Technol. Soc. 9, 23–37 (2006)
Mansingh, G., Rao, L.: Enhancing the decision making process: an ontology-based approach. In: CONF-IRM 2014 Proceedings, vol. 9 (2014). https://aisel.aisnet.org/confirm2014/9
Rahayu, N.W., Ferdiana, R., Kusumawardani, S.S.: A systematic review of ontology use in E-Learning recommender system. Comput. Educ. Artif. Intell. 3, 100047 (2022). https://doi.org/10.1016/j.caeai.2022.100047
Tarus, J.K., Niu, Z., Mustafa, G.: Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning. Artif. Intell. Rev. 50(1), 21–48 (2018). https://doi.org/10.1007/s10462-017-9539-5
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Nguyen, THH., Nguyen, TC. (2024). An Ontology-Enabled Approach for Modeling University-Level Training Programs. In: Nguyen, T.D.L., Dawson, M., Ngoc, L.A., Lam, K.Y. (eds) Proceedings of the International Conference on Intelligent Systems and Networks. ICISN 2024. Lecture Notes in Networks and Systems, vol 1077. Springer, Singapore. https://doi.org/10.1007/978-981-97-5504-2_35
Download citation
DOI: https://doi.org/10.1007/978-981-97-5504-2_35
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-97-5503-5
Online ISBN: 978-981-97-5504-2
eBook Packages: Computer ScienceComputer Science (R0)