Ontologies for Personalized E-Learning in the Semantic Web
Shabina Dhuria1, Sonal Chawla2
1Shabina Dhuria, Department of Computer Science and Applications, Panjab University, Chandigarh, India.
2Dr. Sonal Chawla, Department of Computer Science and Applications, Panjab University, Chandigarh, India.
Manuscript received on March 05, 2014. | Revised Manuscript Received on March 09, 2014. | Manuscript published on March 18, 2014. | PP: 13-18 | Volume-1, Issue-4, March 2014. | Retrieval Number: D0149031414
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Semantic web, next generation intelligent web, is one of the emerging research areas in intelligent web technology and has high potential for research. It can be considered as a content-aware intelligent web. SW technologies will influence the next generation of e-learning systems and applications. To structure the learning material, ontology is a key constituent in the structural design of the Semantic Web. Ontology is a formal specification of a particular domain that describes set of objects, properties that objects can have and various ways how these objects are related to each other.This paper has threefold objective. Firstly, it would help to understand Semantic Web currently exists as a vision, is a promising technology for realizing eLearning requirements. Ontology is primary and most important part of semantic web, improves the learning process as it focuses on relationship rather than information. Secondly, it throws light on classification of ontologies in computer science and how ontoligies in higher education can enhance the search of the learning material. Thirdly, it focuses on analysis of various ontology tools helpful in knowledge retrieval, knowledge storage, and knowledge sharing.
Keywords: E-Learning, Ontology, Ontology Tools, Semantic Web.