DocumentCode
2009004
Title
Discovering ontological semantics for reuse and sharing of learning objects in a contextual learning environment
Author
Kiu, Ching-Chieh ; Lee, Chien-Sing
Author_Institution
Fac. of Inf. Technol., Multimedia Univ., Cyberjaya, Malaysia
fYear
2005
fDate
5-8 July 2005
Firstpage
368
Lastpage
370
Abstract
Ontologies enable learning objects sharing and reuse in a contextual learning environment and provide better search and navigation of learning objects. Ontologies add semantics to content components, which provide context to learning objects. This paper presents the use of Formal Concept Analysis (FCA) to structure knowledge ontologically and the self-organizing map (SOM) to reduce the problem size. To gain better visualization of the intrinsic relationship between ontological concepts, k-means clustering is applied on the clustered SOM.
Keywords
computer aided instruction; formal specification; ontologies (artificial intelligence); pattern clustering; self-organising feature maps; content component; contextual learning environment; formal concept analysis; k-means clustering; learning object reuse; learning object sharing; ontological semantics; self-organizing map; Clustering algorithms; Data mining; Information technology; Learning systems; Navigation; Ontologies; Packaging; Unsupervised learning; Visualization; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
Print_ISBN
0-7695-2338-2
Type
conf
DOI
10.1109/ICALT.2005.125
Filename
1508702
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