DEVELOPING AN ONTOLOGY FOR RETRIEVING MASSIVE OPEN ONLINE COURSES (MOOCS) INFORMATION IN COURSERA PLATFORM

  • DEZHEEN HUSSEIN ABDULAZEEZ Dept. of Computer Sciences, College of Science,University of Duhok, Kurdistan Region-Iraq
  • RAZWAN MOHMED SALAH Dept. of Computer Sciences, College of Science,University of Duhok, Kurdistan Region-Iraq**Dept. of Computer Sciences, ,Cihan University-Duhok, Kurdistan Region-Iraq
Keywords: KEYWORDS: Semantic web, Ontology, MOOCs courses, Coursera platform.

Abstract

ABSTRACT

With the exponential proliferation of Massive Open Online Courses (MOOCs), online learners face difficulties in finding and highlighting relevant course contents. This makes learners to lose their motivation and surrender the learning process. For solving the issue and enhancing MOOCs resource utilization, Semantic web technology has the potential to play an important role by adding semantic annotation to the MOOCs resources for helping learners to access appropriate MOOCs pretty quickly according to their wishes. Furthermore, Ontology helps to shares a common understanding of the structure about any domain of interest amongst people and software agents. This paper presents Ontology for MOOCs Courses domain in the Coursera platform to retrieve the educational resources pretty quickly based on learners' request.

 

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References

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Published
2020-06-07
How to Cite
ABDULAZEEZ, D. H., & SALAH, R. M. (2020). DEVELOPING AN ONTOLOGY FOR RETRIEVING MASSIVE OPEN ONLINE COURSES (MOOCS) INFORMATION IN COURSERA PLATFORM. Journal of Duhok University, 23(1), 103-114. https://doi.org/10.26682/sjuod.2020.23.1.11
Section
Pure and Engineering Sciences