Development of a Semantic Web-Ontology E-Learning Platform

Oluchukwu Uzoamaka Ekwealor; Chidi Ukamaka Betrand; Chiemeka Prince Chukwudum; Charles Ikenna Uchefuna; Obinna Ugochukwu Agbata

doi:doi:10.11648/j.ajcst.20240704.15

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| Peer-Reviewed

Development of a Semantic Web-Ontology E-Learning Platform

Oluchukwu Uzoamaka Ekwealor^*

, Chidi Ukamaka Betrand

, Chiemeka Prince Chukwudum

, Charles Ikenna Uchefuna

, Obinna Ugochukwu Agbata

Published in American Journal of Computer Science and Technology (Volume 7, Issue 4)

Received: 31 August 2024 Accepted: 18 September 2024 Published: 31 October 2024

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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.

Published in	American Journal of Computer Science and Technology (Volume 7, Issue 4)
DOI	10.11648/j.ajcst.20240704.15
Page(s)	176-182
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

E-Learning, Extensible Markup Language, Ontology, Ontology Web Language, Semantic Web, Repository

References

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[2]	Ahlem, R. et al 2020, Semantic Web Technologies for the Internet of Things: Systematic Literature Review. Internet Things 2020, 11, 100206.
[3]	Dicheva, D. (2008), Ontologies and semantic web for E-learning. In: Adelsberger, H., Kinshuk, Pawlowski, J. M., Sampson, D. G. (eds.) Handbook on Information Technologies for Education and Training, pp. 47-65. Springer, Heidelberg https://doi.org/ 10.1007/978-3-540-74155-8_3
[4]	Dicheva, D., Mizoguchi, R., and Greer, J., (2009). Semantic Web Technologies for e-Learning: The Future of Learning, vol. 4. IOS Press, Amsterdam A Semantic Web-Based Framework for Information Retrieval 105.
[5]	Drury, B.; Fernandes, R.; Moura, M.-F.; Lopes, A. D. A. A survey of semantic web technology for agriculture. Inf. Process. Agric. 6, 487–501.
[6]	Flanagan, B. and Ogata, H., 2017. Integration of learning analytics research and production systems while protecting privacy. In Proceedings of the 25th International Conference on Computers in Education, Christchurch, New Zealand, 4–8, pp. 333–338.
[7]	Gruber, T. (1998), A translation approaches to portable ontology specifications” Knowledge Acquisition, vol. 5.
[8]	Hashim, H. and Tasir, Z., 2014. E-Learning Readiness: A Literature Review. International Conference on Teaching amd Learning in Computing and Engineering.
[9]	Jovanovic, J., Gasevic, D., and Devedzic, V. (2009), E-learning and the social semantic web. In: Dicheva, D., Mizoguchi, R., Greer, J. (eds.) Semantic Web Technologies for e-Learning: The Future of Learning, vol. 4, pp. 245-259. IOS Press, Amsterdam.
[10]	Monachesi, P., Simov, K., Mossel, E., Osenova, P. and Lemnitzer, L. (2008), What ontologies can do for e-Learning. In: Proceedings of IMCL International Conference on Mobile and Computer Aided Learning, Amman, Jordan.
[11]	Moussallem, D., Wauer, M. and Ngomo, A.-C. N., 2018. Machine Translation using Semantic Web Technologies: A Survey. J. Web Semant, 51, 1–19.
[12]	Narayanasamy, S. K. et al. 2022, Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems. Electronics 2022, 11, 453. https://doi.org/10.3390/electronics11030453
[13]	Prakash, R. and Kumar, S., 2021, E-learning Framework for Semantic-web. Turkish Journal of Computer and Mathematics Education, vol. 12, No 12, 2994-3006.
[14]	Robson, R. and Barr, A., 2018. Learning technology standards-the new awakening. In Proceedings of the Sixth Annual GIFT Users Symposium, Orlando, FL, USA; Army Research Laboratory: Adelphi, MD, USA, Volume 6, pp. 1–9.
[15]	Rosenberg, M. J., and Foshay, R. (2002). E-learning: Strategies for delivering knowledge in the digital age. Performance Improvement, 41(5), 50–51.
[16]	Stojanovic L, S Staab and R Studer, (2001). E-learning based on the Semantic Web”, WebNet2001 - World Conference on the WWW and Internet.
[17]	Stutt, A. and Motta, E., 2004. Semantic webs for learning: A vision and its realization. In Proceedings of the International Conference on Knowledge Engineering and Knowledge Management, Whittlebury Hall, UK, 5–8 October 2004; Springer: Berlin/Heidelberg, Germany; pp. 132–143.

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APA Style

Ekwealor, O. U., Betrand, C. U., Chukwudum, C. P., Uchefuna, C. I., Agbata, O. U. (2024). Development of a Semantic Web-Ontology E-Learning Platform. American Journal of Computer Science and Technology, 7(4), 176-182. https://doi.org/10.11648/j.ajcst.20240704.15

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ACS Style

Ekwealor, O. U.; Betrand, C. U.; Chukwudum, C. P.; Uchefuna, C. I.; Agbata, O. U. Development of a Semantic Web-Ontology E-Learning Platform. Am. J. Comput. Sci. Technol. 2024, 7(4), 176-182. doi: 10.11648/j.ajcst.20240704.15

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AMA Style

Ekwealor OU, Betrand CU, Chukwudum CP, Uchefuna CI, Agbata OU. Development of a Semantic Web-Ontology E-Learning Platform. Am J Comput Sci Technol. 2024;7(4):176-182. doi: 10.11648/j.ajcst.20240704.15

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@article{10.11648/j.ajcst.20240704.15,
  author = {Oluchukwu Uzoamaka Ekwealor and Chidi Ukamaka Betrand and Chiemeka Prince Chukwudum and Charles Ikenna Uchefuna and Obinna Ugochukwu Agbata},
  title = {Development of a Semantic Web-Ontology E-Learning Platform
},
  journal = {American Journal of Computer Science and Technology},
  volume = {7},
  number = {4},
  pages = {176-182},
  doi = {10.11648/j.ajcst.20240704.15},
  url = {https://doi.org/10.11648/j.ajcst.20240704.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20240704.15},
  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.
},
 year = {2024}
}

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TY  - JOUR
T1  - Development of a Semantic Web-Ontology E-Learning Platform

AU  - Oluchukwu Uzoamaka Ekwealor
AU  - Chidi Ukamaka Betrand
AU  - Chiemeka Prince Chukwudum
AU  - Charles Ikenna Uchefuna
AU  - Obinna Ugochukwu Agbata
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PY  - 2024
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DO  - 10.11648/j.ajcst.20240704.15
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 176
EP  - 182
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20240704.15
AB  - 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.

VL  - 7
IS  - 4
ER  -

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Author Information

Oluchukwu Uzoamaka Ekwealor

Department of Computer Science, Nnamdi Azikiwe University, Awka, Nigeria

Contact Email

http://orcid.org/0000-0001-8950-4544
Chidi Ukamaka Betrand

Department of Computer Science, School of Information and Communication Technology, Federal University of Technology, Owerri, Nigeria

Contact Email

http://orcid.org/0000-0003-0452-375X
Chiemeka Prince Chukwudum

Department of Education Foundation, Nnamdi Azikiwe University, Awka, Nigeria

Contact Email

http://orcid.org/0009-0005-1192-1264
Charles Ikenna Uchefuna

Department of Computer Scienc, Federal Polytechnic, Oko, Nigeria

Contact Email

http://orcid.org/0009-0008-0803-7189
Obinna Ugochukwu Agbata

Department of Computer Science, Nnamdi Azikiwe University, Awka, Nigeria

Contact Email

http://orcid.org/0009-0006-9071-2133

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Plain Text BibTeX RIS

APA Style

Ekwealor, O. U., Betrand, C. U., Chukwudum, C. P., Uchefuna, C. I., Agbata, O. U. (2024). Development of a Semantic Web-Ontology E-Learning Platform. American Journal of Computer Science and Technology, 7(4), 176-182. https://doi.org/10.11648/j.ajcst.20240704.15

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ACS Style

Ekwealor, O. U.; Betrand, C. U.; Chukwudum, C. P.; Uchefuna, C. I.; Agbata, O. U. Development of a Semantic Web-Ontology E-Learning Platform. Am. J. Comput. Sci. Technol. 2024, 7(4), 176-182. doi: 10.11648/j.ajcst.20240704.15

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AMA Style

Ekwealor OU, Betrand CU, Chukwudum CP, Uchefuna CI, Agbata OU. Development of a Semantic Web-Ontology E-Learning Platform. Am J Comput Sci Technol. 2024;7(4):176-182. doi: 10.11648/j.ajcst.20240704.15

Copy | Download

@article{10.11648/j.ajcst.20240704.15,
  author = {Oluchukwu Uzoamaka Ekwealor and Chidi Ukamaka Betrand and Chiemeka Prince Chukwudum and Charles Ikenna Uchefuna and Obinna Ugochukwu Agbata},
  title = {Development of a Semantic Web-Ontology E-Learning Platform
},
  journal = {American Journal of Computer Science and Technology},
  volume = {7},
  number = {4},
  pages = {176-182},
  doi = {10.11648/j.ajcst.20240704.15},
  url = {https://doi.org/10.11648/j.ajcst.20240704.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20240704.15},
  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.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Development of a Semantic Web-Ontology E-Learning Platform

AU  - Oluchukwu Uzoamaka Ekwealor
AU  - Chidi Ukamaka Betrand
AU  - Chiemeka Prince Chukwudum
AU  - Charles Ikenna Uchefuna
AU  - Obinna Ugochukwu Agbata
Y1  - 2024/10/31
PY  - 2024
N1  - https://doi.org/10.11648/j.ajcst.20240704.15
DO  - 10.11648/j.ajcst.20240704.15
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 176
EP  - 182
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20240704.15
AB  - 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.

VL  - 7
IS  - 4
ER  -

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