DocumentCode :
2242490
Title :
An Ontological Approach for Semantic-Aware Learning Object Retrieval
Author :
Lee, Ming-che ; Tsai, Kun Hua ; Wang, Tzone I.
Author_Institution :
Dept. of Eng. Sci., National Chung Kung Univ., Tainan
fYear :
2006
fDate :
5-7 July 2006
Firstpage :
208
Lastpage :
210
Abstract :
SCORM LOM (sharable courseware object reference model learning object metadata) , enables the indexing, location, management, and searching of learning objects in a learning object repository by extended sharing and searching features. However, LOM has a deficiency in semantic-awareness capability. In most information retrieval systems, users´ cognitive ability on what they need is a basic system assumption. However, in e-learning systems, users may have no idea on what they want and what the learning objects´ metadata is. This paper presents an ontological approach for semantic-aware learning object retrieval. This approach is generic enough to be embedded to other LOM-based search mechanisms to achieve semantic-aware learning object retrieval
Keywords :
courseware; information retrieval; meta data; ontologies (artificial intelligence); elearning systems; feature searching; feature sharing; information retrieval systems; learning object repository; ontological approach; semantic-aware learning object retrieval; sharable courseware object reference model learning object metadata; Electronic learning; Encoding; Engineering management; Indexing; Inference algorithms; Information retrieval; Intelligent networks; Laboratories; Ontologies; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2006. Sixth International Conference on
Conference_Location :
Kerkrade
Print_ISBN :
0-7695-2632-2
Type :
conf
DOI :
10.1109/ICALT.2006.1652407
Filename :
1652407
Link To Document :
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