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Implementation of Semantic Web Mining on E-Learning Oguz Mustapasa, Dilek Karahoca, Adem Karahoca, Ahmet Yucel, Huseyin Uzunboylu.

Yazar: Materyal türü: MakaleMakaleDil: İngilizce Yayın ayrıntıları:2010. Elsevier,ISSN:
  • 1877-0428
Konu(lar): LOC sınıflandırması:
  • LB1027
Çevrimiçi kaynaklar: İçindekiler: Innovation And Creativity In Education 2010, Vol 2 Issue 2, p5820-5823.Özet: 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. Web Mining is an application of data mining which focuses on discovering patterns from Web logs and data. The semantic structure can be built with the pattern or relation results discovered via web mining. By combining those two applications of both disciplines, it's possible to achieve Semantic Web Mining which is a recent hot topic in educational research. This paper gives an overview of current applications of Semantic Web Mining on e-learning which already became a base component of education. (C) 2010 Elsevier Ltd. All rights reserved.
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Online Electronic Document NEU Grand Library Online electronic LB1027 .I47 2010 (Rafa gözat(Aşağıda açılır)) Ödünç verilmez EOL-1235

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. Web Mining is an application of data mining which focuses on discovering patterns from Web logs and data. The semantic structure can be built with the pattern or relation results discovered via web mining. By combining those two applications of both disciplines, it's possible to achieve Semantic Web Mining which is a recent hot topic in educational research. This paper gives an overview of current applications of Semantic Web Mining on e-learning which already became a base component of education. (C) 2010 Elsevier Ltd. All rights reserved.

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