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  • 标题:A Framework For An E-Learning System Based on Semantic Web
  • 本地全文:下载
  • 作者:Tarek M. Mahmoud ; Tarek Abd-El-Hafeez ; Ahmed Badawy
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2013
  • 卷号:5
  • 期号:08
  • 页码:698-710
  • 出版社:Engg Journals Publications
  • 摘要:E-Learning is efficient, task relevant and just-in-time learning grown from the learning requirements of the new, dynamically changing, distributed business world. The term �Semantic Web� encompasses efforts to build a new WWW architecture that enhances content with formal semantics, which enables better possibilities for navigating through the cyberspace and accessing its contents. Semantic Web is a product of Web 2.0 (second generation of web) that is supported with automated semantic agents for processing user data to help the user on ease of use and personalization of services. The paper describes a framework for the implementation of an e-learning system based on the Semantic Web, using desktop c# application, data visualization tools, HTML web page parser, RDF generating tools, and SPARQL RDF query language. Hopefully we have elucidated the enormous potential of making web content machine-understandable.
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