Semantic search and retrieval system for learning objects

M. Arshad Awan, A. Sattar, Cheong Ghil Kim, Chung Pyo Hong, Shin Dug Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the International Conference on IT Convergence and Security 2011
Pages129-143
Number of pages15
DOIs
Publication statusPublished - 2012
EventInternational Conference on IT Convergence and Security 2011, ICITCS 2011 - Suwon, Korea, Republic of
Duration: 2011 Dec 142011 Dec 16

Publication series

NameLecture Notes in Electrical Engineering
Volume120 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherInternational Conference on IT Convergence and Security 2011, ICITCS 2011
CountryKorea, Republic of
CitySuwon
Period11/12/1411/12/16

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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  • Cite this

    Awan, M. A., Sattar, A., Kim, C. G., Hong, C. P., & Kim, S. D. (2012). Semantic search and retrieval system for learning objects. In Proceedings of the International Conference on IT Convergence and Security 2011 (pp. 129-143). (Lecture Notes in Electrical Engineering; Vol. 120 LNEE). https://doi.org/10.1007/978-94-007-2911-7_11