DocumentCode :
391685
Title :
Automatic extraction of ontologies from teaching document metadata
Author :
Kay, Judy ; Holden, Sam
Author_Institution :
Sch. of Inf. Technol., Sydney Univ., NSW, Australia
fYear :
2002
fDate :
3-6 Dec. 2002
Firstpage :
1555
Abstract :
SITS (Scrutable Intelligent Teaching System) is designed to make use of existing learning items in flexible and effective learning interactions. The reuse of pre-existing resources is important since creating new learning resources is a time consuming task which requires a skilled author. The Internet also provides a large number of resources for reuse. A major hurdle for reuse is metadata, especially epistemological metadata since different teachers or courses may have different ontologies for a given domain. SITS takes a minimalist approach to metadata. It requires only that the author of a teaching environment should define document metadata specifying the concepts which each document teaches, requires, and uses.
Keywords :
computer aided instruction; document handling; meta data; teaching; CAI; Internet; SITS; Scrutable Intelligent Teaching System; courses; data reuse; document metadata; learning resources; ontologies extraction; teachers; teaching document metadata; Books; Data mining; Education; Expert systems; Information technology; Intelligent systems; Internet; Libraries; Ontologies; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Education, 2002. Proceedings. International Conference on
Print_ISBN :
0-7695-1509-6
Type :
conf
DOI :
10.1109/CIE.2002.1186343
Filename :
1186343
Link To Document :
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