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Proceedings of the International Conference on IT Convergence and Security 2011 pp 129–143Cite as

Semantic Search and Retrieval System for Learning Objects

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 120))

Abstract

In this paper, we propose a framework for semantic search and retrieval of Learning Objects (LOs) for e-Learning environments using open source software. The architectural design of the underlying model consists of four components designated as Author Interface, Learning Object Repository, Learner Interface, and Query Processing. The Author Interface is designed to provide facility for the creation, addition and deletion of Learning Objects. The Learning Object Repository stores the actual objects which may exist in different formats. The Query Processing module processes inputs related to information retrieval using keywords or phrases with Boolean conjunctions. This module parses the input to search through the ontology tree to discover any semantic matches. The proposed framework was tested on a number of Learning Objects in the domain of Computer Science. The test data is based on the multimedia electronic courseware developed by the research team in Computer Science Department, Allama Iqbal Open University (AIOU), Pakistan. The test results show that the Query Processing module provides more accurate and relevant results compared with the retrieval scheme based on simple keywords that helps the instructors and students to get benefit in an e-Learning environment.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Yonsei University, 134 Shinchon-dong, Seodaemoon-gu, Seoul, 120-749, South Korea

    M. Arshad Awan, Chung Pyo Hong & Shin Dug Kim

  2. Department of Computer Science, Namseoul University, Chonan, ChoongNam, Korea

    Cheong Ghil Kim

  3. Computer Science Department, Allama Iqbal Open University, Islamabad, Pakistan

    A. Sattar

Authors
  1. M. Arshad Awan
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  2. A. Sattar
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  3. Cheong Ghil Kim
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  4. Chung Pyo Hong
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  5. Shin Dug Kim
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Corresponding author

Correspondence to Shin Dug Kim .

Editor information

Editors and Affiliations

  1. , Convergence Security, Kyoung-gi University, Iui-dong San 94-6, Suwon, Gyeonggi-do, 443-760, Korea, Republic of (South Korea)

    Kuinam J. Kim

  2. , Computer Science, Sungkyunkwan University, Cheonchoen-dong, Jangan-gu 300, Suwon, Gyeonggi-do, 110-745, Korea, Republic of (South Korea)

    Seong Jin Ahn

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© 2012 Springer Science+Business Media B.V.

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Awan, M.A., Sattar, A., Kim, C.G., Hong, C.P., Kim, S.D. (2012). Semantic Search and Retrieval System for Learning Objects. In: Kim, K., Ahn, S. (eds) Proceedings of the International Conference on IT Convergence and Security 2011. Lecture Notes in Electrical Engineering, vol 120. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2911-7_11

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  • DOI: https://doi.org/10.1007/978-94-007-2911-7_11

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2910-0

  • Online ISBN: 978-94-007-2911-7

  • eBook Packages: EngineeringEngineering (R0)

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