Discovering ontologies for e-learning platforms

被引：0
|
作者：
Papatheodorou, Christos
Vassiliou, Alexandra
机构：
[1] Ionian Univ, Dept Arch & Lib Sci, GR-49100 Corfu, Greece
[2] NCSR Demokritos, Div Appl Technol, GR-15310 Athens, Greece
来源：
ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 3955卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
E-Learning service providers produce or collect digital learning resources, derive metadata for their description, and reuse and organize them in repositories. This paper proposes a data mining approach to discover relationships between the learning resources metadata. In particular, it presents and evaluates methods for clustering learning resources and providing controlled vocabularies for each class description. The derived classes and vocabularies contribute to the semantic interoperability in learning resource interchanges.
引用
收藏
页码：576 / 579
页数：4
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