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
Y1 - 2012
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
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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
T2 - International Conference on IT Convergence and Security 2011, ICITCS 2011
Y2 - 14 December 2011 through 16 December 2011
ER -