عنوان مقاله [English]
Purpose: One of the hottest topics in recent years in the Artificial Intelligence community, as well as in the web community, is the Semantic Web. It has gained the attention of many researches in e-learning field. Thus, the purpose of paper is to review the architecture of the Semantic Web, to review key concepts in e-learning and to categorize and examine the application of the most important concepts of semantic Web (such as Intelligent Agents, Resource Description Framework (RDF), Concept Map, Ontologies, and Linked Data) in a variety of e-learning systems (including web-based courses, learning content management systems (LCMS) and Adaptive and intelligent web-based educational systems).
Methodology: This is an analytical review (systematic) and the library research methods have been used to collect and analyze the information.
Findings: After categorizing and examining different concepts of the semantic web and their application in e - learning systems, it was observed some studies have been conducted to create a repository of meaningful and reusable learning resources, The meaningful design of the whole components of the educational system, to assess students' skills and guide them, to propose adaptive course materials based on the learning behavior of students, knowledge construction and representation in a meaningful way, to find the right resources at a faster pace, to build collaborative and interoperability learning content management systems (LCMS) and improve queries in them.
Conclusion: According to the studies, integration of e-learning and semantic web improve the quality of learning and enhance the performance of learning systems.