Author(s): Shih, WC (Shih, Wen-Chung); Tseng, SS (Tseng, Shian-Shyong); Yang, CT (Yang, Chao-Tung)
Title: Using taxonomic indexing trees to efficiently retrieve SCORM-compliant documents in e- learning grids
Source: EDUCATIONAL TECHNOLOGY & SOCIETY, 11 (2): 206-226 2008 Language: English
Document Type: Article
Author Keywords: e-learning; SCORM; grid computing; globus toolkit; information retrieval KeyWords Plus: INFRASTRUCTURE; METHODOLOGY; OBJECTS
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.
Addresses: [Shih, Wen-Chung; Tseng, Shian-Shyong] Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu, Taiwan; [Tseng, Shian-Shyong] Asia Univ, Dept Informat Sci & Applicat, Taichung, Taiwan; [Yang, Chao-Tung] Tunghai Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan Reprint Address: Shih, WC, Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu, Taiwan.
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Publisher: IEEE COMPUTER SOC, LEARNING TECHNOLOGY TASK FORCE
Publisher Address: BAG 11-222, MASSEY UNIVERSITY, PALMERSTON NORTH, NEW ZEALAND
ISSN: 1436-4522
29-char Source Abbrev.: EDUC TECHNOL SOC ISO Source Abbrev.: Educ. Technol. Soc.
Source Item Page Count: 21
Subject Category: Education & Educational Research ISI Document Delivery No.: 304HM