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A study of metadata design for e-Learning marketplace based on IPTV

Published:27 August 2009Publication History

ABSTRACT

e-Learning Marketplace based on IPTV is defined as the marketplace for e-Learning service between contents supplier and demander through IPTV environment. This e-Learning Marketplace is increasing the interest of e-Learning service provider with its interactive media characteristics. To IPTV, it can contribute to enhance its effectiveness by developing various contents and service model in the initial phase of broadcasting-communication convergence. This study designed metadata using e-learning marketplace based on IPTV. Especially the metadata designing include recommendation-tag for supply supplementary learning content. It can support self-directed learning. Through basic metadata with weight value, it is designed to support supplementary learning content from customers to wants on the marketplace. Recommendation-System can be built by many methods for recommending the learning content including explicit properties using collaborative filtering method that can solve limitations in existing learning recommendation.

References

  1. Mun Nam Mi. 2003. T-Commerce business strategy and technology. Journal of broadcasting engineering society, Volume 8 Item 3 pp. 40--52, 2003.9Google ScholarGoogle Scholar
  2. Kwon Byung Il and 4 persons. 2007. Consulting methodology to introduce and operate e-Learning. (Foundation) Next-generation Learning Base Center, pp. 1, 2007.1Google ScholarGoogle Scholar
  3. Mun Byung Ju. 2007. IPTV Technology and Market Trend. IITA, Trend of weekly technology No. 1279 pp. 45 2007.1.Google ScholarGoogle Scholar
  4. Strabase Co Ltd. 2007. Market survey of overseas digital contents in 2007. Korea Software Promotion Board, pp. 28.Google ScholarGoogle Scholar
  5. Breuer, J. and Hekman, B. 2001. Business models for a European e-Learning marketplace. University of Cologne, Chair of Economics&Business Education. DOI=http://www.eurodl.org/materials/contrib/2002/14ICL_2002_Breuer_Hekman/ICL_2002_fullpaper.htmGoogle ScholarGoogle Scholar
  6. IMPRIMATUR. 1999. The IMPRIMATUR Business Model, Version 2.1. (IMPRIMATUR, 1999)Google ScholarGoogle Scholar
  7. Stuart Weibel, Jean Godby, Eric Miller. 1995. OCLC/NCSA Metadata Workshop Report. Dublin Core Metadata Initiative. DOI= http://dublincore.org/workshops/dcl/report.shtmlGoogle ScholarGoogle Scholar
  8. ADL. 2004. Sharable Content Object Reference Model (SCORM) 2004 2nd Edition Overview. ADL, pp. 27Google ScholarGoogle Scholar
  9. Timmers, P. 1998. Business Model for Electronic Markets, electronic Markets, 8(2), pp. 3~8Google ScholarGoogle Scholar
  10. Eo Yun Dae, Bang Ho Yeol. 1995. Strategic management. Hak Hyun Sa, pp. 244, 1995.8Google ScholarGoogle Scholar
  11. Kim Jae Kyung, Cho Yun Ho, Kim Seung Tae, Kim Hye Kyung. 2005. Individualized recommended system appropriate to mobile e-Commerce environment. {Study of management and information}, Volume 15, No. 3, pp 223~241Google ScholarGoogle Scholar
  12. Lee Jae Sik, Park Seok Du. 2007. Improving performance of film recommended system that uses Collaborative Filtering of each genre. Korea Intellectual and Information System Society, Collection of papers, Volume 13, No. 4, pp. 65~78. December, 2007Google ScholarGoogle Scholar

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          cover image ACM Other conferences
          ICHIT '09: Proceedings of the 2009 International Conference on Hybrid Information Technology
          August 2009
          687 pages
          ISBN:9781605586625
          DOI:10.1145/1644993

          Copyright © 2009 ACM

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          Publication History

          • Published: 27 August 2009

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