HOME: Hybrid Ontology Mapping Evaluation Tool for Computer Science Curricula

Authors

  • Chayan Nuntawong Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Thailand.
  • Chakkrit Snae Namahoot Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Thailand.
  • Michael Brückner Department of Educational Technology and Communication, Faculty of Education, Naresuan University, Thailand.

Keywords:

Ontology, Ontology Mapping, Semantic Similarity, Qualification Framework, Web Application, String Algorithm,

Abstract

This paper presents a hybrid ontology mapping tool for evaluating the standard of computer science subjects against the Thailand Qualification Framework for Higher Education (HQF: HEd). This can improve the standard of curriculum of universities in Thailand with higher accuracy and enable the decrease of processing time. Three ontologies have been designed: course, TQF: HEd and the standard curriculum of computer science. They were used for comparing course contents by applying a combination of ontology mapping techniques (semantic-based using extended Wu & Palmer’s algorithm and structure-based using SKOS features). Test with the sample data show that the tool based on a hybrid ontology mapping worked sufficiently well and can inform the efforts for curriculum improvement.

Downloads

Download data is not yet available.

Downloads

Published

2017-06-01

How to Cite

Nuntawong, C., Snae Namahoot, C., & Brückner, M. (2017). HOME: Hybrid Ontology Mapping Evaluation Tool for Computer Science Curricula. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-3), 61–65. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2274

Issue

Vol. 9 No. 2-3: Circuit and System Advancement in Modern World II

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)