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62606

An Intelligent Synchronous E-Learning Management System Based on Multi-Agents of Linked Data, Ontology, and Semantic Service

Article

Last updated: 22 Jan 2023

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Abstract

E-learning is a method of distance learning using electronic media, where each learner and instructor have interacted via learning content present on the web. So, e-learning playing a major role in the learning and teaching activities at institutions of higher education worldwide. Web technology for the construction of synchronous e-learning has been successfully developed to provide automatic educational content. The most important developments in this area are the semantic web that provides distributed information with a specific meaning precisely so that e-learning becomes an efficient relevant task that grows in new dynamically changing at the same time with the learning requirements and needs of the learner. This paper has contributed to this goal by establishing a system known as Intelligent Synchronous E-Learning Management System (ISEMS) that based on multi-agent such as semantic service, ontology, and linked data. Each agent represents the basis for organizing content resources, sequence learning, and adaptation. ISEMS shows how the automatic generates of hypertext structures from distributed metadata is utilized from the semantic web resource description formats. The description is based primarily on the content, context, and content structure of the learning material then provides flexible and personalized access to these educational materials.

DOI

10.21608/ijicis.2019.62606

Keywords

Intelligent E-Learning Management System, Multi-Agents, ontology, Semantic Service Web, Linked Data

Authors

First Name

Ahmed

Last Name

Amin

MiddleName

E

Affiliation

7 Mahmoud Hekal St.

Email

ahmedel_sayed@mans.edu.eg

City

Mansoura

Orcid

0000-0003-4170-3653

Volume

19

Article Issue

1

Related Issue

9281

Issue Date

2019-06-01

Receive Date

2019-11-28

Publish Date

2019-06-01

Page Start

25

Page End

37

Print ISSN

1687-109X

Online ISSN

2535-1710

Link

https://ijicis.journals.ekb.eg/article_62606.html

Detail API

https://ijicis.journals.ekb.eg/service?article_code=62606

Order

3

Type

Original Article

Type Code

494

Publication Type

Journal

Publication Title

International Journal of Intelligent Computing and Information Sciences

Publication Link

https://ijicis.journals.ekb.eg/

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Article

Created At

22 Jan 2023