Ontology-based content organization and retrieval for SCORM-compliant teaching materials in data grids

Future Generation Computer Systems

Volumn 25, Issue 6, 2009, Pages 687-694

  Shih, Wen Chung ^a   Yang, Chao Tung ^b   Tseng, Shian Shyong ^a,c  

^a ASIA UNIVERSITY   (Taiwan)

^b TUNGHAI UNIVERSITY   (Taiwan)

^c NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Data grid; e Learning; Globus toolkit; Information retrieval; SCORM

Indexed 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;

ONTOLOGY;

EID: 63749113301     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2009.01.005     Document Type: Article

References (19)

1. SCORM. Sharable Content Object Reference Model (SCORM). 2004 [cited 2006]; Available from: http://www.adlnet.org/
2. Foster I. The grid: A new infrastructure for 21st century science. Physics Today 55 2 (2002) 42-47
3. Foster I., and C K. Globus: A metacomputing infrastructure toolkit. International Journal of Supercomputer Applications and High Performance Computing 11 2 (1997) 115-128
4. Chang R.-S., Chang J.-S., and Lin S.-Y. Job scheduling and data replication on data grids. Future Generation Computer Systems (2007), Elsevier Science 846-860
5. Chang R.-S., and Chen P.-H. Complete and fragmented replica selection and retrieval in data grids. Future Generation Computer Systems (2007), Elsevier Science 536-546
6. Lamehamedi H., and Szymanski B.K. Decentralized data management framework for data grids. Future Generation Computer Systems 23 1 (2007) 109-115
7. Qin X. Design and analysis of a load balancing strategy in data grids. Future Generation Computer Systems 23 1 (2007) 132-137
8. Tang M., et al. The impact of data replication on job scheduling performance in the data grid. Future Generation Computer Systems (2006), Elsevier Science 254-268
9. M. Gaeta, P. Ritrovato, S. Salerno, ELeGI: The European Learning Grid Infrastructure, in: Proceedings of 3rd International LeGE-WG Workshop: GRID Infrastructure to Support Future Technology Enhanced Learning, 2003
10. Yu C., et al. A methodology to retrieve text documents from multiple databases. IEEE Transactions on Knowledge and Data Engineering 14 6 (2002) 1347-1361
11. Shih W.-C., Tseng S.-S., and Yang C.-T. Using taxonomic indexing trees to efficiently retrieve SCORM-compliant documents in e-learning grids. Journal of Educational Technology & Society 11 2 (2008) 206-226
12. Baeza-Yates R., and Ribeiro-Neto B. Modern Information Retrieval (1999), ACM Press, New York
13. Mittal A., Krishnan P.V., and Altman E. Content classification and context-based retrieval system for e-learning. Journal of Educational Technology & Society 9 1 (2006) 349-358
14. Salton G., and McGill M.J. Introduction to Modern Information Retrieval (1983), McGraw & Hill, New York
15. Witten I.H., Moffat A., and Bell T.C. Managing Gigabytes: Compressing and Indexing Documents and Images. 2nd ed. (1999), Morgan Kaufmann, San Francisco, California
16. Y.K. Lee, et al. Index structures for structured documents, in: The 1st ACM International Conference on Digital Libraries, 1996
17. Cambazoglu B.B., and Aykanat C. Performance of query processing implementations in ranking-based text retrieval systems using inverted indices. Information Processing and Management 42 (2006) 875-898
18. Dewey, Dewey decimal classification, 2004 [cited 2006 Dec. 07]; Available from: http://www.oclc.org/dewey/about/default.htm
19. Globus, The globus project, 2004 [cited 2006]; Available from: http://www.globus.org/