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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8716

    Title: Ontology-based content organization and retrieval for SCORM-compliant teaching materials in data grids
    Authors: Shih, Wen-Chung;Yang, Chao-Tung;Tseng, Shian-Shyong
    Contributors: Department of Information Science and Applications
    Keywords: E-learning;Information retrieval;Information services;Internet;Large scale systems;Multimedia systems;Teaching;Complete solutions;Content retrievals;Content-based information retrievals;Current datum;Data grid;Data sets;Globus toolkit;Grid environments;Layered architectures;Learning contents;Ontology-based;Rapid growths;SCORM;Sharable content object reference models;Teaching materials
    Date: 2009-06
    Issue Date: 2010-04-07 21:34:07 (UTC+8)
    Publisher: Asia University
    Abstract: With the rapid growth of e-Learning, a tremendous amount of learning content has been developed by numerous providers. Recently, the Sharable Content Object Reference Model (SCORM) has been widely accepted as a standard of e-Learning for users to share and reuse various teaching materials. Data grids, characterized by their goal to manage large-scale dataset, are promising platforms to support sharing of geographically dispersed learning content. However, current data grid standards have not provided complete solutions to content-based information retrieval. To increase the precision of content retrieval on data grids, our idea is to propose an ontology-based approach to organize and retrieve learning content in geographically dispersed repositories. We designed a layered architecture to enable learning content organization and retrieval on data grids, implemented in a metropolitan-scale grid environment. Experimental results show that the proposed approach can precisely retrieve SCORM-compliant learning content. © 2009 Elsevier B.V. All rights reserved.
    Relation: Future Generation Computer Systems 25(6) :687-694
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

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