Volume 3 Number 3 (Jun. 2013)
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IJEEEE 2013 Vol.3(3): 192-196 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2013.V3.221

Ontology-Based Concept Map Assistant Learning System with Rule-Based Reasoning Mechanism

Kuo-Kuang Chu and Chien-I Lee
Abstract— Although there were some ontology-based learning researches, most of researches were off-line ontology knowledge base or without reasoning mechanism to assist user’s learning. We integrated several APIs to create an ontology-based assistant learning system (ORALS) that provides online editing ontology and rules in web pages and it is compatible with these popular ontology editors. To simplify users creating ontology processes, That provides users search concept and reasoning items, all searching or reasoning results will be listed and shown by visualize concept maps. By three teachers’ experiences, they applied ontology engineering technology to extract knowledge to ontology and build course concept maps and reasoning rules. There were three classes grade 7th of junior high school total 95 students joined our study with the nervous system course unit of Science and Technology. We hope this paper not only can present applied ontology to assist learning scenarios, but also help the other fields to induced ontology technologies easily.

Index Terms— Ontology, e-learning, concept map, rule-based reasoning.

The authors are with National University of Tainan, Tainan, Taiwan (e-mail: chukk@tn.edu.tw, leeci@mail.nutn.edu.tw).

Cite: Kuo-Kuang Chu and Chien-I Lee, " Ontology-Based Concept Map Assistant Learning System with Rule-Based Reasoning Mechanism," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 3, no. 3, pp. 192-196, 2013.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, INSPEC (IET)
E-mail: ijeeee@iap.org
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