Using Taxonomic Indexing Trees to Efficiently Retrieve SCORM-compliant Documents in e-Learning Grids

ASIA unversity > 資訊學院 > 行動商務與多媒體應用學系 > 期刊論文 > Item 310904400/18856

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题名:	Using Taxonomic Indexing Trees to Efficiently Retrieve SCORM-compliant Documents in e-Learning Grids
作者:	時文中;Shih, Wen-Chung;曾憲雄;Tseng, Shian-Shyong;楊朝棟;Yang, Chao-Tung
贡献者:	資訊多媒體應用學系
关键词:	e-Learning, SCORM, Grid computing, Globus Toolkit, Information retrieval
日期:	2008
上传时间:	2012-11-26 07:09:43 (UTC+0)
摘要:	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.
關聯:	EDUCATIONAL TECHNOLOGY & SOCIETY
显示于类别:	[行動商務與多媒體應用學系] 期刊論文

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