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IJMLC 2014 Vol.4(4): 333-338 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.433

Text Mining-Based Semantic Web Architecture (TMSWA) for e-Learning Systems

Hamad Ibrahim Alomran

Abstract—This paper highlights semantic web techniques and proposes architecture for e-Learning-based systems for the academic portal. Text mining is used with the proposed model for better processing of unstructured data available in XML and RDF formats. An algorithm will be used to support building a web retrieval system to extract the hidden knowledge for the semantic web by ontologies for e-learning items to classify and find the relationships between the leaning items via the academic portal.

Index Terms—Semantic web, text mining, data mining, elearning, web, web architecture.

Hamad Ibrahim Alomran is with the Department of Information Management College of Computer and Information Sciences Al-Imam Muhammad Ibn Saud Islamic University, Riyadh (e-mail: alomran@imamu.edu.sa).


Cite: Hamad Ibrahim Alomran, "Text Mining-Based Semantic Web Architecture (TMSWA) for e-Learning Systems," International Journal of Machine Learning and Computing vol.4, no. 4, pp. 333-338, 2014.

General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net

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