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Deontic Logic Based Ontology Alignment Technique for E-Learning

Deontic Logic Based Ontology Alignment Technique for E-Learning

Lazarus Jegatha Deborah, Ramachandran Baskaran, Arputharaj Kannan
Copyright: © 2012 |Volume: 8 |Issue: 3 |Pages: 17
ISSN: 1548-3657|EISSN: 1548-3665|EISBN13: 9781466613010|DOI: 10.4018/jiit.2012070104
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MLA

Deborah, Lazarus Jegatha, et al. "Deontic Logic Based Ontology Alignment Technique for E-Learning." IJIIT vol.8, no.3 2012: pp.56-72. http://doi.org/10.4018/jiit.2012070104

APA

Deborah, L. J., Baskaran, R., & Kannan, A. (2012). Deontic Logic Based Ontology Alignment Technique for E-Learning. International Journal of Intelligent Information Technologies (IJIIT), 8(3), 56-72. http://doi.org/10.4018/jiit.2012070104

Chicago

Deborah, Lazarus Jegatha, Ramachandran Baskaran, and Arputharaj Kannan. "Deontic Logic Based Ontology Alignment Technique for E-Learning," International Journal of Intelligent Information Technologies (IJIIT) 8, no.3: 56-72. http://doi.org/10.4018/jiit.2012070104

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Abstract

The recent explosion in web services usage and information technology has led to the challenging issue of Ontology Construction and Alignment in order to enhance the semantics of web documents in E-Learning scenarios. In such a circumstance, it is necessary to provide an effective solution for Ontology Alignment that can help in student performance evaluation. The authors propose a rule-based solution for evaluating the students using Ontology Alignment techniques. For this purpose, they make use of the rules based on Deontic Logic and hence make a positive attempt in analyzing the presence of some of the non-dominant categorization of words like determiners, time clauses and modal verbs occurring in the text documents using Standard Deontic rules. The experiments have been carried out on evaluating the learning of C programming language using an E-Learning framework. From these evaluations, it has been observed that the proposed evaluation technique improves the accuracy of student evaluation significantly.

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