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 Jan 1
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

Fingerprint

Query processing
Semantics
Computer science
Architectural design
Information retrieval
Ontology
Students

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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
Awan, M. Arshad ; Sattar, A. ; Kim, Cheong Ghil ; Hong, Chung Pyo ; Kim, Shin-Dug. / Semantic search and retrieval system for learning objects. Proceedings of the International Conference on IT Convergence and Security 2011. 2012. pp. 129-143 (Lecture Notes in Electrical Engineering).
@inproceedings{d5455942dcb44662add7e2ba2ee01990,
title = "Semantic search and retrieval system for learning objects",
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.",
author = "Awan, {M. Arshad} and A. Sattar and Kim, {Cheong Ghil} and Hong, {Chung Pyo} and Shin-Dug Kim",
year = "2012",
month = "1",
day = "1",
doi = "10.1007/978-94-007-2911-7_11",
language = "English",
isbn = "9789400729100",
series = "Lecture Notes in Electrical Engineering",
pages = "129--143",
booktitle = "Proceedings of the International Conference on IT Convergence and Security 2011",

}

Awan, MA, Sattar, A, Kim, CG, Hong, CP & Kim, S-D 2012, Semantic search and retrieval system for learning objects. in Proceedings of the International Conference on IT Convergence and Security 2011. Lecture Notes in Electrical Engineering, vol. 120 LNEE, pp. 129-143, International Conference on IT Convergence and Security 2011, ICITCS 2011, Suwon, Korea, Republic of, 11/12/14. https://doi.org/10.1007/978-94-007-2911-7_11

Semantic search and retrieval system for learning objects. / Awan, M. Arshad; Sattar, A.; Kim, Cheong Ghil; Hong, Chung Pyo; Kim, Shin-Dug.

Proceedings of the International Conference on IT Convergence and Security 2011. 2012. p. 129-143 (Lecture Notes in Electrical Engineering; Vol. 120 LNEE).

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

TY - GEN

T1 - Semantic search and retrieval system for learning objects

AU - Awan, M. Arshad

AU - Sattar, A.

AU - Kim, Cheong Ghil

AU - Hong, Chung Pyo

AU - Kim, Shin-Dug

PY - 2012/1/1

Y1 - 2012/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84255198278&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84255198278&partnerID=8YFLogxK

U2 - 10.1007/978-94-007-2911-7_11

DO - 10.1007/978-94-007-2911-7_11

M3 - Conference contribution

AN - SCOPUS:84255198278

SN - 9789400729100

T3 - Lecture Notes in Electrical Engineering

SP - 129

EP - 143

BT - Proceedings of the International Conference on IT Convergence and Security 2011

ER -

Awan MA, Sattar A, Kim CG, Hong CP, Kim S-D. Semantic search and retrieval system for learning objects. In Proceedings of the International Conference on IT Convergence and Security 2011. 2012. p. 129-143. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-94-007-2911-7_11