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http://dx.doi.org/10.3745/KIPSTA.2006.13A.1.087

Management of Learning Metadata based on RDF  

Lee Young-Seok (한양대학교 전자통신컴퓨터공학과)
Seo Young-Bae (삼성전자 정보통신총괄 통신연구소 차세대단말팀)
Park Jung-Hwan (제주대학교 교육학과)
Kim Su-Min (원광대학교)
Choi Byung-Uk (한양대학교 정보통신대학 정보통신학부)
Cho Jung-Won (제주대학교 컴퓨터교육과)
Publication Information
The KIPS Transactions:PartA / v.13A, no.1, 2006 , pp. 87-94 More about this Journal
Abstract
Internet makes it possible to access anytime, anywhere learning and so many LMS(Learning Management Systems) serve web based learning. But LMS has not flexible and qualified metadata to offer customired teaming. So we need extensible and flexible techniques which make if possible to define and share advanced teaming metadata. This paper presents an approach for implementing advanced learning metadata in LMS using RDF and the Semantic Web language. So we will first sketch the learning scenario in Semantic Web environment and structure of metadata management. Next we suggest two types of RDF authoring tool and search RDF documents. Advanced metadata management techniques enables the organization of learning materials around small pieces of semantically annotated learning objects. With these metadata learner can customize learning courses, improve retrieval performances.
Keywords
Semantic Web; Learning Metadata; Learning Management System; Resource Description Framework; Learning Object Metadata; RDF; LOM;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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