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
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;
Conference_Titel :
Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
Print_ISBN :
0-7695-2338-2
DOI :
10.1109/ICALT.2005.125