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Ontology-driven content search for personalized education

Published:06 November 2005Publication History

ABSTRACT

Striving towards our education vision, Personalized Education, a Personalized Education System (PES) framework has been proposed [3] to exploit the vast amount of multimedia learning content on the Web. PEOnto, a fundamental component of PE, composes of multiple education ontologies to support communications among personalized education agents that provide a variety of PE services. Our research in PEOnto focuses on investigating techniques and a computation framework for supporting ontology-driven search and retrieval of multimedia learning content to meet various learning objectives.

References

  1. Apple W. P. Fok and Horace H. S. Ip, 2004, Personalized Education (PE) - Technology Integration for Individual Learning, Proceedings of Third IASTED International Conference on Web-Based Education, pp.48--53, Innsbruck, Austria, February 16-18, 2004.Google ScholarGoogle Scholar
  2. Apple W. P. Fok and Horace H. S. Ip, 2004, Personalized Education (PE) - An Exploratory Study of Learning Pedagogies in Relation to Personalization Technologies, the 3rd International Conference on Web-based Learning, Peking, China, August 8-11, 2004.Google ScholarGoogle Scholar
  3. Apple W. P. Fok, Xin Xiao, Yuanchun Shi, and Horace H. S. Ip, 2005, A Personalized Agents Platform Design and Implementation for Personalized Education, International Conference on Computers in Education, November 28-December 02, SingaporeGoogle ScholarGoogle Scholar

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  1. Ontology-driven content search for personalized education

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      cover image ACM Conferences
      MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia
      November 2005
      1110 pages
      ISBN:1595930442
      DOI:10.1145/1101149

      Copyright © 2005 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 November 2005

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      MULTIMEDIA '05 Paper Acceptance Rate49of312submissions,16%Overall Acceptance Rate995of4,171submissions,24%

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