Semantic Web Ontology Technology and Its Impact on E-Learning

Oluchukwu Uzoamaka Ekwealor; Sylvanus Okwudili Anigbogu; Ifeoma Mary Ann Orji; Chukwuemeka Micheal Okafor

doi:doi:10.11648/j.ajesa.20210802.11

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Semantic Web Ontology Technology and Its Impact on E-Learning

Oluchukwu Uzoamaka Ekwealor, Sylvanus Okwudili Anigbogu, Ifeoma Mary Ann Orji, Chukwuemeka Micheal Okafor

Published in American Journal of Embedded Systems and Applications (Volume 8, Issue 2)

Received: 21 September 2021 Accepted: 27 October 2021 Published: 10 November 2021

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Abstract

This paper aims at portraying the imparts of integrating semantic web ontology technology into conventional online learning platform. This semantic e-learning system will have all the features of existing e-learning system as well as additional feature of semantic web ontology technology, which provides an adaptable, personalized and intelligent learning environment. With the incorporation of this technology, students can access the learning materials uploaded on the learning environment by the instructors as well as engage on self-directed learning by searching the ontology backbone of the semantic web. The ontology repository within the e-learning platform helps to maintain learners’ personalization details, as well as learning resources pertaining to different domains of knowledge and with the help of intelligent search engine, learners can semantically search through the ontology for learning materials based on their preferences, thus they are not placed at the mercy of the learning materials provided by the instructors. This semantic web ontology will be very helpful in promoting customized learning, thereby replacing the existing instructor centric e-learning systems. This paper has been able to show the tremendous improvement in electronic learning, following the integration of semantic web ontology approach and it will be very helpful to schools and other learning institutions in providing a sophisticated and adaptable learning environment for their students or learners.

Published in	American Journal of Embedded Systems and Applications (Volume 8, Issue 2)
DOI	10.11648/j.ajesa.20210802.11
Page(s)	12-16
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

Electronic-Learning, Semantic Web, Ontology, Resource Description Framework (RDF), Web Ontology Language (OWL)

References

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APA Style

Oluchukwu Uzoamaka Ekwealor, Sylvanus Okwudili Anigbogu, Ifeoma Mary Ann Orji, Chukwuemeka Micheal Okafor. (2021). Semantic Web Ontology Technology and Its Impact on E-Learning. American Journal of Embedded Systems and Applications, 8(2), 12-16. https://doi.org/10.11648/j.ajesa.20210802.11

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ACS Style

Oluchukwu Uzoamaka Ekwealor; Sylvanus Okwudili Anigbogu; Ifeoma Mary Ann Orji; Chukwuemeka Micheal Okafor. Semantic Web Ontology Technology and Its Impact on E-Learning. Am. J. Embed. Syst. Appl. 2021, 8(2), 12-16. doi: 10.11648/j.ajesa.20210802.11

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AMA Style

Oluchukwu Uzoamaka Ekwealor, Sylvanus Okwudili Anigbogu, Ifeoma Mary Ann Orji, Chukwuemeka Micheal Okafor. Semantic Web Ontology Technology and Its Impact on E-Learning. Am J Embed Syst Appl. 2021;8(2):12-16. doi: 10.11648/j.ajesa.20210802.11

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@article{10.11648/j.ajesa.20210802.11,
  author = {Oluchukwu Uzoamaka Ekwealor and Sylvanus Okwudili Anigbogu and Ifeoma Mary Ann Orji and Chukwuemeka Micheal Okafor},
  title = {Semantic Web Ontology Technology and Its Impact on E-Learning},
  journal = {American Journal of Embedded Systems and Applications},
  volume = {8},
  number = {2},
  pages = {12-16},
  doi = {10.11648/j.ajesa.20210802.11},
  url = {https://doi.org/10.11648/j.ajesa.20210802.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajesa.20210802.11},
  abstract = {This paper aims at portraying the imparts of integrating semantic web ontology technology into conventional online learning platform. This semantic e-learning system will have all the features of existing e-learning system as well as additional feature of semantic web ontology technology, which provides an adaptable, personalized and intelligent learning environment. With the incorporation of this technology, students can access the learning materials uploaded on the learning environment by the instructors as well as engage on self-directed learning by searching the ontology backbone of the semantic web. The ontology repository within the e-learning platform helps to maintain learners’ personalization details, as well as learning resources pertaining to different domains of knowledge and with the help of intelligent search engine, learners can semantically search through the ontology for learning materials based on their preferences, thus they are not placed at the mercy of the learning materials provided by the instructors. This semantic web ontology will be very helpful in promoting customized learning, thereby replacing the existing instructor centric e-learning systems. This paper has been able to show the tremendous improvement in electronic learning, following the integration of semantic web ontology approach and it will be very helpful to schools and other learning institutions in providing a sophisticated and adaptable learning environment for their students or learners.},
 year = {2021}
}

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TY  - JOUR
T1  - Semantic Web Ontology Technology and Its Impact on E-Learning
AU  - Oluchukwu Uzoamaka Ekwealor
AU  - Sylvanus Okwudili Anigbogu
AU  - Ifeoma Mary Ann Orji
AU  - Chukwuemeka Micheal Okafor
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DO  - 10.11648/j.ajesa.20210802.11
T2  - American Journal of Embedded Systems and Applications
JF  - American Journal of Embedded Systems and Applications
JO  - American Journal of Embedded Systems and Applications
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PB  - Science Publishing Group
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UR  - https://doi.org/10.11648/j.ajesa.20210802.11
AB  - This paper aims at portraying the imparts of integrating semantic web ontology technology into conventional online learning platform. This semantic e-learning system will have all the features of existing e-learning system as well as additional feature of semantic web ontology technology, which provides an adaptable, personalized and intelligent learning environment. With the incorporation of this technology, students can access the learning materials uploaded on the learning environment by the instructors as well as engage on self-directed learning by searching the ontology backbone of the semantic web. The ontology repository within the e-learning platform helps to maintain learners’ personalization details, as well as learning resources pertaining to different domains of knowledge and with the help of intelligent search engine, learners can semantically search through the ontology for learning materials based on their preferences, thus they are not placed at the mercy of the learning materials provided by the instructors. This semantic web ontology will be very helpful in promoting customized learning, thereby replacing the existing instructor centric e-learning systems. This paper has been able to show the tremendous improvement in electronic learning, following the integration of semantic web ontology approach and it will be very helpful to schools and other learning institutions in providing a sophisticated and adaptable learning environment for their students or learners.
VL  - 8
IS  - 2
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Author Information

Oluchukwu Uzoamaka Ekwealor

Department of Computer Science, Nnamdi Azikiwe University, Awka, Nigeria
Sylvanus Okwudili Anigbogu

Department of Computer Science, Nnamdi Azikiwe University, Awka, Nigeria
Ifeoma Mary Ann Orji

Department of Computer Science, Nnamdi Azikiwe University, Awka, Nigeria
Chukwuemeka Micheal Okafor

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

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APA Style

Oluchukwu Uzoamaka Ekwealor, Sylvanus Okwudili Anigbogu, Ifeoma Mary Ann Orji, Chukwuemeka Micheal Okafor. (2021). Semantic Web Ontology Technology and Its Impact on E-Learning. American Journal of Embedded Systems and Applications, 8(2), 12-16. https://doi.org/10.11648/j.ajesa.20210802.11

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ACS Style

Oluchukwu Uzoamaka Ekwealor; Sylvanus Okwudili Anigbogu; Ifeoma Mary Ann Orji; Chukwuemeka Micheal Okafor. Semantic Web Ontology Technology and Its Impact on E-Learning. Am. J. Embed. Syst. Appl. 2021, 8(2), 12-16. doi: 10.11648/j.ajesa.20210802.11

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AMA Style

Oluchukwu Uzoamaka Ekwealor, Sylvanus Okwudili Anigbogu, Ifeoma Mary Ann Orji, Chukwuemeka Micheal Okafor. Semantic Web Ontology Technology and Its Impact on E-Learning. Am J Embed Syst Appl. 2021;8(2):12-16. doi: 10.11648/j.ajesa.20210802.11

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@article{10.11648/j.ajesa.20210802.11,
  author = {Oluchukwu Uzoamaka Ekwealor and Sylvanus Okwudili Anigbogu and Ifeoma Mary Ann Orji and Chukwuemeka Micheal Okafor},
  title = {Semantic Web Ontology Technology and Its Impact on E-Learning},
  journal = {American Journal of Embedded Systems and Applications},
  volume = {8},
  number = {2},
  pages = {12-16},
  doi = {10.11648/j.ajesa.20210802.11},
  url = {https://doi.org/10.11648/j.ajesa.20210802.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajesa.20210802.11},
  abstract = {This paper aims at portraying the imparts of integrating semantic web ontology technology into conventional online learning platform. This semantic e-learning system will have all the features of existing e-learning system as well as additional feature of semantic web ontology technology, which provides an adaptable, personalized and intelligent learning environment. With the incorporation of this technology, students can access the learning materials uploaded on the learning environment by the instructors as well as engage on self-directed learning by searching the ontology backbone of the semantic web. The ontology repository within the e-learning platform helps to maintain learners’ personalization details, as well as learning resources pertaining to different domains of knowledge and with the help of intelligent search engine, learners can semantically search through the ontology for learning materials based on their preferences, thus they are not placed at the mercy of the learning materials provided by the instructors. This semantic web ontology will be very helpful in promoting customized learning, thereby replacing the existing instructor centric e-learning systems. This paper has been able to show the tremendous improvement in electronic learning, following the integration of semantic web ontology approach and it will be very helpful to schools and other learning institutions in providing a sophisticated and adaptable learning environment for their students or learners.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Semantic Web Ontology Technology and Its Impact on E-Learning
AU  - Oluchukwu Uzoamaka Ekwealor
AU  - Sylvanus Okwudili Anigbogu
AU  - Ifeoma Mary Ann Orji
AU  - Chukwuemeka Micheal Okafor
Y1  - 2021/11/10
PY  - 2021
N1  - https://doi.org/10.11648/j.ajesa.20210802.11
DO  - 10.11648/j.ajesa.20210802.11
T2  - American Journal of Embedded Systems and Applications
JF  - American Journal of Embedded Systems and Applications
JO  - American Journal of Embedded Systems and Applications
SP  - 12
EP  - 16
PB  - Science Publishing Group
SN  - 2376-6085
UR  - https://doi.org/10.11648/j.ajesa.20210802.11
AB  - This paper aims at portraying the imparts of integrating semantic web ontology technology into conventional online learning platform. This semantic e-learning system will have all the features of existing e-learning system as well as additional feature of semantic web ontology technology, which provides an adaptable, personalized and intelligent learning environment. With the incorporation of this technology, students can access the learning materials uploaded on the learning environment by the instructors as well as engage on self-directed learning by searching the ontology backbone of the semantic web. The ontology repository within the e-learning platform helps to maintain learners’ personalization details, as well as learning resources pertaining to different domains of knowledge and with the help of intelligent search engine, learners can semantically search through the ontology for learning materials based on their preferences, thus they are not placed at the mercy of the learning materials provided by the instructors. This semantic web ontology will be very helpful in promoting customized learning, thereby replacing the existing instructor centric e-learning systems. This paper has been able to show the tremendous improvement in electronic learning, following the integration of semantic web ontology approach and it will be very helpful to schools and other learning institutions in providing a sophisticated and adaptable learning environment for their students or learners.
VL  - 8
IS  - 2
ER  -

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