A proposed semantic recommendation system for e-learning: A Rule and ontology based e-learning recommendation system

Saman Shishehchi, Seyed Yashar Banihashem, Nor Azan Mat Zin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Citations (Scopus)

Abstract

with proliferation of learning contents on the web, finding suitable ones has become a very difficult and complicated task for online learners, to achieve better performance. Nevertheless, recommender systems can be a solution to the problem. However, recommendation systems haven't been sufficiently used in e-learning, in comparison with other fields (i. e. commerce, medicine and so on). In this paper, we propose a semantic recommender system for e-learning by means of which, learners will be able to find and choose the right learning materials suitable to their field of interest. The proposed web based recommendation system comprises ontology and web ontology language (OWL) rules. Rule filtering will be used as recommendation technique. Our proposed recommendation system architecture consists of two subsystems; Semantic Based System and Rule Based System. Modules for either subsystem are; Observer, Learner profile, Recommendation storage and User interface.

Original languageEnglish
Title of host publicationProceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10
Volume1
DOIs
Publication statusPublished - 2010
Event2010 International Symposium on Information Technology, ITSim'10 - Kuala Lumpur
Duration: 15 Jun 201017 Jun 2010

Other

Other2010 International Symposium on Information Technology, ITSim'10
CityKuala Lumpur
Period15/6/1017/6/10

Fingerprint

Recommender systems
Ontology
Semantics
Knowledge based systems
User interfaces
Medicine

Keywords

  • e-learning
  • Ontology
  • Personalized
  • Recommender system
  • Rule based
  • Semantic web

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Shishehchi, S., Banihashem, S. Y., & Mat Zin, N. A. (2010). A proposed semantic recommendation system for e-learning: A Rule and ontology based e-learning recommendation system. In Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10 (Vol. 1). [5561329] https://doi.org/10.1109/ITSIM.2010.5561329

A proposed semantic recommendation system for e-learning : A Rule and ontology based e-learning recommendation system. / Shishehchi, Saman; Banihashem, Seyed Yashar; Mat Zin, Nor Azan.

Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10. Vol. 1 2010. 5561329.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shishehchi, S, Banihashem, SY & Mat Zin, NA 2010, A proposed semantic recommendation system for e-learning: A Rule and ontology based e-learning recommendation system. in Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10. vol. 1, 5561329, 2010 International Symposium on Information Technology, ITSim'10, Kuala Lumpur, 15/6/10. https://doi.org/10.1109/ITSIM.2010.5561329
Shishehchi S, Banihashem SY, Mat Zin NA. A proposed semantic recommendation system for e-learning: A Rule and ontology based e-learning recommendation system. In Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10. Vol. 1. 2010. 5561329 https://doi.org/10.1109/ITSIM.2010.5561329
Shishehchi, Saman ; Banihashem, Seyed Yashar ; Mat Zin, Nor Azan. / A proposed semantic recommendation system for e-learning : A Rule and ontology based e-learning recommendation system. Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10. Vol. 1 2010.
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