Development of a Semantic Web-Ontology E-Learning Platform

This paper is focused on developing A Semantic Web-Ontology E-Learning Platform, which is a system that combines semantic web and ontology technology to guarantees a sophisticated learning environment that provides the learners with adaptable and customized learning resources based on learners’ knowledge requirement. With this system, learners can log in from their comfort zone anytime, to receive their online lesson as provided by their tutor. The system has an added advantage of providing a personalized learning to students through creation of intelligent search engine and ontology backbone consisting of learning data and their meta data. The learner, through this search engine, searches the ontology semantically for the learning materials that suits his/her profile. The system also has the capability of filtering the search results by matching them with the profile of a particular learner using inference engine, such that the result best suited for the user’s academic need is presented. This work will not only promote self-directed learning but will also facilitate quick search of learning materials, by narrowing the search based on specified learner’s interest. The methodology adopted for this work is Object-Oriented Analysis and Design Methodology (OOADM) and programing languages used are Php-Mysql and Java Script. The system will be of great benefit to schools, other learning institutions and organization seeking to educate their manpower.

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Publication Details

Journal
American Journal of Computer Science and Technology
Published
2024-10-31
DOI
https://doi.org/10.11648/j.ajcst.20240704.15
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
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article

Development of a Semantic Web-Ontology E-Learning Platform

Obinna Agbata, Chidi Ukamaka Betrand, Oluchukwu Uzoamaka Ekwealor, Chiemeka Prince Chukwudum et al.
American Journal of Computer Science and Technology
Semantic Web and Ontologies
article

Development of a Semantic Web-Ontology E-Learning Platform

Obinna Agbata, Chidi Ukamaka Betrand, Oluchukwu Uzoamaka Ekwealor, Chiemeka Prince Chukwudum, Charles Ikenna Uchefuna
article en

Abstract

This paper is focused on developing A Semantic Web-Ontology E-Learning Platform, which is a system that combines semantic web and ontology technology to guarantees a sophisticated learning environment that provides the learners with adaptable and customized learning resources based on learners’ knowledge requirement. With this system, learners can log in from their comfort zone anytime, to receive their online lesson as provided by their tutor. The system has an added advantage of providing a personalized learning to students through creation of intelligent search engine and ontology backbone consisting of learning data and their meta data. The learner, through this search engine, searches the ontology semantically for the learning materials that suits his/her profile. The system also has the capability of filtering the search results by matching them with the profile of a particular learner using inference engine, such that the result best suited for the user’s academic need is presented. This work will not only promote self-directed learning but will also facilitate quick search of learning materials, by narrowing the search based on specified learner’s interest. The methodology adopted for this work is Object-Oriented Analysis and Design Methodology (OOADM) and programing languages used are Php-Mysql and Java Script. The system will be of great benefit to schools, other learning institutions and organization seeking to educate their manpower.

American Journal of Computer Science and TechnologyVol. 7(4)
Federal University of Technology Owerri (NG), Nnamdi Azikiwe University (NG), Federal Polytechnic Oko (NG)
Quality Education
Openalex Percentile: Top 82%
Semantic Web and Ontologies
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Development of a Semantic Web-Ontology E-Learning Platform — Obinna Agbata, Chidi Ukamaka Betrand, et al. · American Journal of Computer Science and Technology (2024) | TGRS Research Map | TGRS