Amin, A. (2019). An Intelligent Synchronous E-Learning Management System Based on Multi-Agents of Linked Data, Ontology, and Semantic Service. International Journal of Intelligent Computing and Information Sciences, 19(1), 25-37. doi: 10.21608/ijicis.2019.62606
Ahmed E Amin. "An Intelligent Synchronous E-Learning Management System Based on Multi-Agents of Linked Data, Ontology, and Semantic Service". International Journal of Intelligent Computing and Information Sciences, 19, 1, 2019, 25-37. doi: 10.21608/ijicis.2019.62606
Amin, A. (2019). 'An Intelligent Synchronous E-Learning Management System Based on Multi-Agents of Linked Data, Ontology, and Semantic Service', International Journal of Intelligent Computing and Information Sciences, 19(1), pp. 25-37. doi: 10.21608/ijicis.2019.62606
Amin, A. An Intelligent Synchronous E-Learning Management System Based on Multi-Agents of Linked Data, Ontology, and Semantic Service. International Journal of Intelligent Computing and Information Sciences, 2019; 19(1): 25-37. doi: 10.21608/ijicis.2019.62606
An Intelligent Synchronous E-Learning Management System Based on Multi-Agents of Linked Data, Ontology, and Semantic Service
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.
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