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
資訊工程學系
Department of Computer Science
Keywords: Data grid;e-Learning;SCORM;Globus toolkit;Information retrieval
Issue Date: 1-Jun-2009
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 oil 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. (c) 2009 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.future.2009.01.005
http://hdl.handle.net/11536/7166
ISSN: 0167-739X
DOI: 10.1016/j.future.2009.01.005
Journal: FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING-THEORY METHODS AND APPLICATIONS
Volume: 25
Issue: 6
Begin Page: 687
End Page: 694
Appears in Collections:Articles


Files in This Item:

  1. 000266306300008.pdf