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JournalInternational Journal of Computer Applications
TitleA Study on Ontology Application Scenarios in e-Learning Domain
Index TermInformation Sciences
AbstractThe e-Learning community is aiming to provide much more effective computer aided learning management systems. The exploration of huge learning material and evolution of e-learning technology caused realizing of various approaches and techniques in learning content management and delivery process. However, searching appropriate learning resources for a learner from a large number of heterogeneous knowledge sources is a tedious task. This paper discusses how ontology can be used to the e-learning system to help learner in selecting or retrieving relevant learning material and investigates different ontology application scenarios in the e-learning environments. Finally we proposed the different strategies to be considered while developing ontologies in management, presentation and retrieval of the material in e-learning domain.
Keywordse-learning, ontology, application scenarios, Metadata, Semantic Web, Presentation, Personalization, Adaptation.
No. of Pages4
Author NamesKalla Madhusudhana
Author Emailskallamadhu1@yahoo.com
References
  1. Bittencourt, Ig Ibert, Seiji Isotani, Evandro Costa, and Riichiro Mizoguchi. "Research directions on Semantic Web and education." Scientia Interdisciplinary Studies in Computer Science 19(1): 60-67, January/June 2008.
  2. Guo, WenYing. "An Ontology-Based e-Learning Scenario." In Methods and Applications for Advancing Distance Education Technologies: International Issues and Solutions, pp. 63-71. IGI Global, 2009.
  3. Monachesi, P., Simov, K., Mossel, E., Osenova, P.: What ontologies can do for eLearning. In: Proceedings of International Conference on Interactive Mobile and Computer Aided Learning, IMCL 2008 (2008)
  4. Abel, Marie-Hélène, Ahcène Benayache, Dominique Lenne, Claude Moulin, Catherine Barry, and Brigitte Chaput. "Ontology-based organizational memory for e-learning." Educational technology & society 7, no. 4 (2004): 98-111.
  5. Sudhana, Kalla Madhu, V. Cyril Raj, and R. M. Suresh. "An ontological approach for enriching metadata of learning objects to support effective e-learning." International Journal of Computer Science and Network Security 12, no. 10 (2012): 68-73.
  6. Bateman, Scott, Christopher Brooks, and Gord McCalla. "Collaborative tagging approaches for ontological metadata in adaptive e-learning systems." In Proceedings of the fourth international workshop on applications of semantic web technologies for e-learning (SW-EL 2006), pp. 3-12. 2006.
  7. Uschold, Mike, and Michael Gruninger. "Ontologies: Principles, methods and applications." The knowledge engineering review 11, no. 2 (1996): 93-136.
  8. Dicheva, Darina. "Ontologies and semantic web for e-learning." Handbook on information technologies for education and training (2008): 47-65.
  9. [Aroyo et al. , 2002]Aroyo, Lora, Darina Dicheva, and Alexandra Cristea. "Ontological support for web courseware authoring." In Intelligent tutoring systems, pp. 270-280. Springer Berlin/Heidelberg, 2002.
  10. SCORM, http://scorm.com/scorm-explained/technical-scorm/content-packaging/metadata-structure/
  11. IMS Global Learning Consortium. http://www.imsproject.org/metadata/imsmdv1p2p1/imsmd_bestv1p2p1.html
  12. DCMI (2008). Dublin Core Metadata Element Set, Version 1.1. DCMI Recommendation. http://dublincore.org/documents/dces/.
  13. IEEE LTSC. (2002). Draft Standard for Learning Object Metadata (IEEE 1484.12.1-2002). http://ltsc.ieee.org/wg12/files/LOM_1484_12_1_v1_Final_Draft.pdf.
  14. Hyon Hee Kim. “A personalized recommendation method using a tagging ontology for a social e-learning system”. In Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I, ACIIDS’11, pages 357–366, 2011.
  15. Aroyo, Lora, and Darina Dicheva, "The New Challenges for E-Learning: The Educational Semantic Web", Educational Technology Soc., no. 4, pp. 59-69, 2004.
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StatePublished
Volume180
Issue4
Start Page No.38
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