Semi automatic ontological knowledge base construction from learning materials in eLearning Management System

Manual ontology construction has proven to be very difficult task and is becoming a problem in the process of acquiring knowledge for ontology engineer. This article presents a semi-automatic ontological knowledge base construction framework and several aspects of evaluating the semi-automatic ontol...

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Main Authors: Mukhlason, A., Mahmood, Dr Ahmad Kamil, Arshad, N.I.
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/145/
http://scholars.utp.edu.my/id/eprint/145/1/paper.pdf
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author Mukhlason, A.
Mahmood, Dr Ahmad Kamil
Arshad, N.I.
author_facet Mukhlason, A.
Mahmood, Dr Ahmad Kamil
Arshad, N.I.
author_sort Mukhlason, A.
building UTP Institutional Repository
collection Online Access
description Manual ontology construction has proven to be very difficult task and is becoming a problem in the process of acquiring knowledge for ontology engineer. This article presents a semi-automatic ontological knowledge base construction framework and several aspects of evaluating the semi-automatic ontology generation tool in eLearning Management System setting. The framework combined an ontology learning tool called Text2Onto to construct ontology from scratch and an ontology mapping tool called PROMPT to map the ontology the existing ontology. Experiment on generating ontology from text corpus shows a significant result for knowledge concept extraction. © 2008 IEEE.
first_indexed 2025-11-13T07:22:13Z
format Conference or Workshop Item
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institution Universiti Teknologi Petronas
institution_category Local University
language English
last_indexed 2025-11-13T07:22:13Z
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spelling oai:scholars.utp.edu.my:1452017-01-19T08:26:38Z http://scholars.utp.edu.my/id/eprint/145/ Semi automatic ontological knowledge base construction from learning materials in eLearning Management System Mukhlason, A. Mahmood, Dr Ahmad Kamil Arshad, N.I. QA75 Electronic computers. Computer science Manual ontology construction has proven to be very difficult task and is becoming a problem in the process of acquiring knowledge for ontology engineer. This article presents a semi-automatic ontological knowledge base construction framework and several aspects of evaluating the semi-automatic ontology generation tool in eLearning Management System setting. The framework combined an ontology learning tool called Text2Onto to construct ontology from scratch and an ontology mapping tool called PROMPT to map the ontology the existing ontology. Experiment on generating ontology from text corpus shows a significant result for knowledge concept extraction. © 2008 IEEE. 2008 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/145/1/paper.pdf Mukhlason, A. and Mahmood, Dr Ahmad Kamil and Arshad, N.I. (2008) Semi automatic ontological knowledge base construction from learning materials in eLearning Management System. In: International Symposium on Information Technology 2008, ITSim, 26 August 2008 through 29 August 2008, Kuala Lumpur.
spellingShingle QA75 Electronic computers. Computer science
Mukhlason, A.
Mahmood, Dr Ahmad Kamil
Arshad, N.I.
Semi automatic ontological knowledge base construction from learning materials in eLearning Management System
title Semi automatic ontological knowledge base construction from learning materials in eLearning Management System
title_full Semi automatic ontological knowledge base construction from learning materials in eLearning Management System
title_fullStr Semi automatic ontological knowledge base construction from learning materials in eLearning Management System
title_full_unstemmed Semi automatic ontological knowledge base construction from learning materials in eLearning Management System
title_short Semi automatic ontological knowledge base construction from learning materials in eLearning Management System
title_sort semi automatic ontological knowledge base construction from learning materials in elearning management system
topic QA75 Electronic computers. Computer science
url http://scholars.utp.edu.my/id/eprint/145/
http://scholars.utp.edu.my/id/eprint/145/1/paper.pdf