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DOI: 10.14569/IJACSA.2020.0110787
PDF

Ontology-based Course Teacher Assignment within Universities

Author 1: Ghadeer Ashour
Author 2: Ahmad Al-Dubai
Author 3: Imed Romdhani

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 7, 2020.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Educational institutions suffer from the enormous amount of data that keeps growing continuously. These data are usually scattered and unorganised, and it comes from different resources with different formats. Besides, modernization vision within these institutions aims to reduce human action and replace it with automatic devices interactions. To have the full benefit from these data and use it within the modern systems, they have to be readable and understandable by machines. Those data and knowledge with semantic descriptions make an easy way to monitor and manage decision processes within universities to solve many educational challenges. In this study, an educational ontology is developed to model the semantic courses and academic profiles in universities and use it to solve the challenge of assigning the most appropriate academic teacher to teach a specific course.

Keywords: Semantic; university ontology; academic profile; syllabus; course-teacher assignment

Ghadeer Ashour, Ahmad Al-Dubai and Imed Romdhani, “Ontology-based Course Teacher Assignment within Universities” International Journal of Advanced Computer Science and Applications(IJACSA), 11(7), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110787

@article{Ashour2020,
title = {Ontology-based Course Teacher Assignment within Universities},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110787},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110787},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {7},
author = {Ghadeer Ashour and Ahmad Al-Dubai and Imed Romdhani}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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