An Ontology-Based Framework for Collecting E-Learning Resources
Keywords:
Automatic Retrieval; Instructional Design; Knowledge Management; Ontology-Based Annotation; E-LearningAbstract
The World Wide Web has an immense amount of e-learning
resources for the various branches of science; these are available as
textbooks, presentations, video tutorials, pictures, and audio lectures.
There is no doubt that these resources would help students understand
academic courses better, especially those courses that require training
and practical activities, such as computer science courses. This would
also help the instructor clarify his ideas in an interesting and innovative
way. Searching for the available and suitable resources on the internet is
difficult and time-consuming because we need the exact specification of
keywords that characterize each topic in the course syllabus. Collecting
such material manually from scratch for each course in a specific
domain of knowledge is an expensive and time-consuming effort.
Ontology is the identification of terms used in a specific domain of
knowledge, and the specification of relations between them. It specifies
a shared vocabulary for specialists in a certain domain to exchange
information. It is perhaps the key solution to the problems related to
knowledge sharing and reuse due to the inclusion of definitions of basic
concepts and their relationships that can be understood by machines.
In this paper, a system is proposed to enable instructors to collect elearning multimedia resources from the internet and automatically link
them with topics in the syllabus of the intended course using the
ontology of the domain of knowledge related to that course.
References
Altun, A., (2012). Ontologies for Personalization: A new challenge for instructional
designers. Procedia-Social and Behavioral Sciences, 64, 691-698.
Aroyo, L., & Dicheva, D., (2004). The New Challenges for E-learning: The Educational
Semantic Web. Journal of Educational Technology and Society, 59-69.
Aroyo, L., Dicheva, D., & Cristea, A., (2002). Ontological Support for Web Courseware
Authoring. In Cerri, S.A., Gouarderes, G. & Paraguacu, F. (Eds.), Proceedings of
Intelligent Tutoring Systems, Berlin: Springer, 270-280.
Berners-Lee, T., Hendler, J., & Lassila, O., (2001). The Semantic Web. Scientific
American, 284 (5), 34-43.
Boyce, S., & Pahl, C., (2007). Developing Domain Ontologies for Course Content.
Educational Technology & Society, 10 (3), 275-288.
Carlos, B., Guillermo, E., & Eduardo, M., (2012). Ontology-driven Keyword-based Search
on Linked Data, Proc. of the 16th International Conference on Knowledge-Based
and Intelligent Information and Engineering Systems (KES 2012), San Sebastián
(Spain), IOS Press, ISBN 978-1-61499-104-5, volume 243, pp. 1899-1908, Frontiers
in Artificial Intelligence and Applications, September.
Casey, & McAlpine, M., (2002). Writing and using reusable ducational materials: a
beginner's guide. CETIS Educational Content Special Interest Group Publication.
Chung, Н.-S., & Kim, J.-M., (2012). Learning Ontology Design for Supporting Adaptive
Learning in e-Learning Environment. In: IPCSIT-2012, vol. 27, Singapore,
pp.148–152.
Devedžiü, V. (2006).Semantic web and education.Berlin: Springer-Verlag.
Dicheva, D., & Aroyo, L., (2004). A Minimalist Approach to Support Ontology-driven
Educational Information Systems Communication. In Proceedings of
International Workshop on Applications of Semantic.
Feng, Y., & Youquan, C., (2010). Ontology based application framework for Network
Education Resources Library. In Proceedings of 2nd International Workshop on
Education Technology and Computer Science,423 – 426.
Gardarin, G., Kou, H., Zeitouni, K., Meng, X, & Wang, H., (2003). SEWISE: An Ontologybased Web Information Search Engine., in Antje Düsterhöft & Bernhard
Thalheim, ed., 'NLDB', GI,, pp. 106-119.
Gruber, T.R., (1993). A Translation Approach to Portable Ontology
Specification.Knowledge Acquisition 5: 199-220.
Gupta, M., Li, R., Yin, Z., and Han, J., (2010). Survey on social tagging techniques.
SIGKDD Explor. Newsl. 12, 58–72.
Humphreys, B.L., & Lindberg, D.A.B., (1993).The UMLS project: making the conceptual
connection between users and the information they need. Bulletin of the Medical
Library Association 81(2): 170.
Kum, L., Chin, & Elizabeth, C., (2011). A Sustainable ICT Education Ontology. In
Proceedings of 5th IEEE International Conference on Digital Ecosystems and
Technologies, Korea, 350-354.
Marian, B., Bogdan, D., & Marius, V., (2010). Designing a Semantic Web Ontology for
Elearning in Higher Education. In Proceedings of IEEE 9th International
Symposium on Electronics and Telecommunications, 415 – 418.
Mayer, R. E., (1997). Multimedia learning: Are we asking the right questions?
Educational Psychologist, 32(1), 1-19.
Mizoguchi, R., & Bourdeau, J., (2000). Using ontological engineering to overcome
common AI-ED problems. International Journal of Artificial Intelligence in
Education, 11(2), 107-121.
Monique, G., Faiçal, A., Cyrille, D., Richard, F., Dominique, L., & Céline, Q. J., (2007).
Sharing an ontology in Education: Lessons learnt from the OURAL project. In
Proceedings of 7th IEEE International Conference on Advanced Learning
Technologies.
Price, C., & Spackman, K., (2000). SNOMED clinical terms. BJHC&IM-British Journal of
Healthcare Computing & Information Management 17(3): 27-31.
Sampson, D. G., Lytras, M. D., Wagner, G., & Diaz, P., (2004). Ontologies and the
Semantic Web for E-learning. Journal of Educational Technology and Society,
(4), 26-142.
Sedleniece, M., & Cakula, S., (2012). Framework for personalized e-learning model. In:
Proceedings WSEAS, Recent Researches in Communications and Computers; p.
-462.
Uschold, M., & Gruninger, M., (1996). Ontologies: principles, methods, and applications.
Knowledge Engineering Review, 11(2), 1-63.
Uschold, M., & Gruninger, M., (2004). Ontologies and semantics for seamless
connectivity.SIGMOD Record, 33(3).
Downloads
Published
Issue
Section
License
Copyright (c) 2014 Mohammed Mfarij F. Alhawiti, Yasser Abdelhamid
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All articles published by IJLTER are licensed under a Creative Commons Attribution Non-Commercial No-Derivatives 4.0 International License (CCBY-NC-ND4.0).
