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COVA: A Distance Learning System supporting Content-based Lecture Retrieval  

차광호 (숙명여자대학교 멀티미디어학과)
Publication Information
Journal of KIISE:Databases / v.31, no.2, 2004 , pp. 99-107 More about this Journal
Abstract
Education and training are expected to change dramatically due to the combined impact of the Internet, database, and multimedia technologies However, the distance learning is often impeded by the lack of effective tools and system to manage and retrieve the lecture contents effectively. This paper introduces a prototype system called COVA that enables remote users to access specific parts of interest by contents from a large lecture database. COVA includes several novel techniques to achieve the content-based lecture retrieval in distance teaming: (1) The XML-based semistructured model to represent lecture contents; (2) The technique to build structural summaries, i.e., schemas, of XML lecture databases; (3) Index structures to speed up the search to find appropriate lecture contents.
Keywords
XML; content-based retrieval; distance learning; XML; semistructured data model;
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