Implementation of Semantic Web Mining on E-Learning

被引：4

作者：

Mustapasa, Oguz ^{[1
]}

Karahoca, Dilek ^{[1
]}

Karahoca, Adem ^{[1
]}

Yucel, Ahmet ^{[1
]}

Uzunboylu, Huseyin ^{[1
]}

机构：

[1] Univ Bahcesehir, Dept Software Engn, Istanbul, Turkey

来源：

INNOVATION AND CREATIVITY IN EDUCATION | 2010年 / 2卷 / 02期

关键词：

Semantic web; web mining; e-learning; distance learning; personalization;

D O I：

10.1016/j.sbspro.2010.03.949

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

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.

引用

页码：5820 / 5823

页数：4