Using taxonomic indexing trees to efficiently retrieve SCORM-compliant documents in e-learning grids

ASIAIR > College of Computer Science > Department of Applied Informatics and Multimedia > Journal Article > Item 310904400/8562

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8562

Title:	Using taxonomic indexing trees to efficiently retrieve SCORM-compliant documents in e-learning grids
Authors:	Shih, WC (Shih, Wen-Chung);Tseng, SS (Tseng, Shian-Shyong);Yang, CT (Yang, Chao-Tung)
Contributors:	Department of Information Science and Applications
Keywords:	e-learning;SCORM;grid computing;globus toolkit;information retrieval;INFRASTRUCTURE;METHODOLOGY;OBJECTS
Date:	2008
Issue Date:	2010-03-26 03:03:09 (UTC+0)
Publisher:	Asia University
Abstract:	With the flourishing development of e-Learning, more and more SCORM-compliant teaching materials are developed by institutes and individuals in different sites. In addition, the e-Learning grid is emerging as an infrastructure to enhance traditional e-Learning systems. Therefore, information retrieval schemes supporting SCORM-compliant documents on grid environments are gaining its importance. To minimize the query processing time and content transmission time, our idea is to use a bottom-up approach to reorganize documents in these sites based on their metadata, and to manage these contents in a centralized manner. In this paper, we design an indexing structure named Taxonomic Indexing Trees (TI-trees). A TI-tree is a taxonomic structure and has two novel features: 1) reorganizing documents according to the Classification metadata such that queries by classes can be processed efficiently and 2) indexing dispersedly stored documents in a centralized manner which is suitable for common grid middleware. This approach is composed of a Construction phase and a Search phase. In the former, a local TI-tree is built from each Learning Object Repository. Then, all local TI-trees are merged into a global TI-tree. In the latter, a Grid Portal processes queries and presents results with estimated transmission time to users. Experimental results show that the proposed approach can efficiently retrieve SCORM-compliant documents with good scalability.
Relation:	EDUCATIONAL TECHNOLOGY & SOCIETY 11 (2): 206-226
Appears in Collections:	[Department of Applied Informatics and Multimedia] Journal Article

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