USING SEMANTIC WEB AND ONTOLOGIES TO CREATE INTELLIGENT AND PERSONALIZED SYSTEMS FOR LEARNING PURPOSES
Abstract
There was a time when it was thought that the more information someone has, the better it is. Nowadays, there has been a change in the mindset of people where what they want is meaningful and personalized information. The semantic web is an advancement of the current web that is being used, the web 2.0, which comprises mainly of metadata i.e. data about data. The semantic web is a new technology which is being developed and it is seen as the future web where everything will be much more accurate as per our needs. Semantic Web technologies and applications are getting increasingly popular and adopted in different fields, including education. Research on software and education has already shown some of the features expected to be embedded in the next generation of learning support systems. Such features include: more adaptive and personalized learning environment, a better use of pedagogies to enhance instruction/learning, effective information sharing, storage and retrieval, new forms of collaboration with peers, and many other characteristics that enable the realization of AAAL: Anytime, Anywhere, Anybody Learning. Information on the Web is commonly represented in natural-language for human understanding. However, in order for the computer to understand its meaning, it is necessary to represent the information in a form that can be interpreted syntactically and semantically. Such representation helps the process of analyzing, extracting, and integrating information on the Web, making it easier the creation of solid knowledge bases that intelligent services can rely on to support users’ needs. Nowadays, research on ontologies has been considered as one of the keys to provide information in a computer-understandable way. This paper focuses on the different Semantic Web Technologies that play an important role in education and learning.
Keywords: Semantic Web, Personalized Learning, Intelligent Systems, Ontologies, Education
References
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- Chen, W., Mizoguchi, R. (2004), Learner model ontology and leaner model agent, Cognitive Support for Learning – Imagining the Unknown 189–200
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- Yeo, J., Tan, S.C and Lee, Y.J. (2006), A learning journey in problem-based learning, in: ICLS: Proceedings of the 7th International Conference on Learning Sciences.
- Berners-Lee, T., Hendler,J and Lassila, O.(2001), The semantic web. A new form of web content that is meaningful to computers will unleash a revolution of new possibilities, Scientific American 284 (5) 34–43.
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- Zeng, Q., Zhao, Z., Liang, Y. (2009), Course ontology-based user’s knowledge requirement acquisition from behaviors within e-learning systems,Computers and Education, 53 (2009), pp. 809–818
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- Bittencourt, I., Costa, E., Silva, M., Soares, E. (2009)A computational model for developing semantic web-based educational systems, Knowledge-Based Systems, 22 (2009), pp. 302–315
Abstract
References
- Angelova, G., Kalaydjiev, O., & Strupchanska A. (2004). Domain ontology as a resource porividing adaptivity in e-learning, In Workshop on ontologies, semantics, and e-learning, on the move to meaningful internet systems (pp. 700–712)
- Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic web, Scientific American, (pp. 34–43).
- Bittencourt, I., Costa, E., Soares, E., Pedro, A.(2008), Towards a new generation of webbased educational systems: the convergence between artificial and human agents, IEEE Multidisciplinary Engineering Education Magazine 3 (1) 17–24.
- Chen, W., Mizoguchi, R. (2004), Learner model ontology and leaner model agent, Cognitive Support for Learning – Imagining the Unknown 189–200
- Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5, 199–220
- Semantic web architecture[online], available from http://vinodkr.blogspot.com/ [accessed: 05 October 2015]
- Devedzic, Vladan. (2004). Education and the Semantic Web. International Journal of Artificial Intelligence in Education, 14, 39-65.
- Protégé [online], available from http://protege.stanford.edu/[accessed: 05 October 2015]
- Aroyo, L., Dicheva, D.(2004), The new challenges for e-learning: the educational semantic web, Educational Technology and Society, 7 (4), pp. 59–69
- Sosnovsky, S., Mitrovic, A., Lee, D. , Brusilovsky, P., Yudelson, M., Brusilovsky, V., Sharma, D. (2008), Towards integration of adaptive educational systems: mapping domain models to ontologies, in: D. Dicheva, A. Harrer, R. Mizoguchi, (Eds.) Proceedings of 6th International Workshop on Ontologies and Semantic Web for E-Learning (SWEL’2008) in Conjunction with ITS’2008. Montreal, Canada.
- Yeo, J., Tan, S.C and Lee, Y.J. (2006), A learning journey in problem-based learning, in: ICLS: Proceedings of the 7th International Conference on Learning Sciences.
- Berners-Lee, T., Hendler,J and Lassila, O.(2001), The semantic web. A new form of web content that is meaningful to computers will unleash a revolution of new possibilities, Scientific American 284 (5) 34–43.
- He, Y., Hiu, S. and Quan, T. (2009), Automatic summary assessment for intelligent tutoring systems, Computers and Education, 53, pp 890-899
- Zeng, Q., Zhao, Z., Liang, Y. (2009), Course ontology-based user’s knowledge requirement acquisition from behaviors within e-learning systems,Computers and Education, 53 (2009), pp. 809–818
- Radenkovic, S.,Krdzavac, N., Devedzic, V. (2009)An assessment system on the semantic web,Annals of Information Systems, 6, pp. 177–200
- Bittencourt, I., Costa, E., Silva, M., Soares, E. (2009)A computational model for developing semantic web-based educational systems, Knowledge-Based Systems, 22 (2009), pp. 302–315
Details
| Journal Section | Articles |
|---|---|
| Authors | |
| Publication Date | August 26, 2016 |
| Submission Date | August 22, 2016 |
| Published in Issue | Year 2016Volume: 2 Issue: 5 |
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