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Study of E-learning Information Retrieval Model based on Ontology

by R. Lakshmi Tulasi, M. Srinivasa Rao, G. Rayana Gouda
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 17
Year of Publication: 2013
Authors: R. Lakshmi Tulasi, M. Srinivasa Rao, G. Rayana Gouda
10.5120/10018-4747

R. Lakshmi Tulasi, M. Srinivasa Rao, G. Rayana Gouda . Study of E-learning Information Retrieval Model based on Ontology. International Journal of Computer Applications. 61, 17 ( January 2013), 9-13. DOI=10.5120/10018-4747

@article{ 10.5120/10018-4747,
author = { R. Lakshmi Tulasi, M. Srinivasa Rao, G. Rayana Gouda },
title = { Study of E-learning Information Retrieval Model based on Ontology },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 17 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number17/10018-4747/ },
doi = { 10.5120/10018-4747 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:24.709057+05:30
%A R. Lakshmi Tulasi
%A M. Srinivasa Rao
%A G. Rayana Gouda
%T Study of E-learning Information Retrieval Model based on Ontology
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 17
%P 9-13
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Research work in the field of E-learning is represented by a broad area of applications ranged from web learning to virtual courses. Web-based courses offer obvious advantages for learners by making access to educational resource very fast and relevance, at any time or place. The objective of this paper is to create an ontology based domain specific representation for e-learning domain. This paper analyzes the drawbacks of traditional keyword based search engines and proposes the need for semantic based intelligent information retrieval systems. This paper presents ontology based information retrieval (IR) for e-learning domain which is developed using Protégé tool. This discusses about the E-learning information retrieval model which consists Resource collection module, Semantic procession module, Resource collection module, resource integration system.

References
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Index Terms

Computer Science
Information Sciences

Keywords

E-learning IR Ontology OWL Semantic Web Protégé tool

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