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Adaptive e- Learning using the Semantic Web: A Comparative Survey

Adaptive e- Learning using the Semantic Web: A Comparative Survey

ISSN 2223-4985
Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Salah Hammami , Safwan Qassem , Sarab Al Muhaideb, International Journal of Information and Communication Technology Research
Dibuat : 2012-06-23, dengan 1 file

Keyword : Adaptive e-learning, Semantic Web, Ontologies.
Subjek : Adaptive e- Learning using the Semantic Web: A Comparative Survey
Url : http://esjournals.org/journaloftechnology/archive/vol2no4/vol2no4_5.pdf
Sumber pengambilan dokumen : Internet

Semantic Web is emerging and maturing as a powerful extension of today's Web. In this environment, both humans and machines


(like agents) can exchange data more efficiently. The shared understanding of this environment is based on an ontology backbone,


used to model semantics and relations between various concepts. The e-learning domain is one of many domains that can benefit


from the Semantic Web advantages. In this document, we survey a number of adaptive e-learning systems and analyze the


components and needs of adaptive e-learning systems using the Semantic Web environment.

Deskripsi Alternatif :

Semantic Web is emerging and maturing as a powerful extension of today's Web. In this environment, both humans and machines


(like agents) can exchange data more efficiently. The shared understanding of this environment is based on an ontology backbone,


used to model semantics and relations between various concepts. The e-learning domain is one of many domains that can benefit


from the Semantic Web advantages. In this document, we survey a number of adaptive e-learning systems and analyze the


components and needs of adaptive e-learning systems using the Semantic Web environment.

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