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 |Pages: 17
DOI: 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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1. Introduction

Semantic Web (Berners-Lee, Hendler, & Lassila, 2001) focuses on effective management of documents intelligently which are present in the Web by considering the properties of the entities (terms) and the relationships involved among them. This conceptual organization is facilitated by building ontology pertaining to a particular domain (Gomez-Perez, Fernandez, & Corcho, 2003; Bateman, 2010). One of the major areas of research in retrieving the web information intelligently is the provision of learning course contents through online (E-learning) (Jegatha-Deborah, Baskaran, & Kannan, 2011). The prerequisite of the semantic-driven resource management and content delivery in E-learning web service has been facilitated in such systems by building Ontology.

1.1. Need for Semantics

Automatic exchanging and reusing of data or information in the universal medium for information exchange (WWW) is very limited due to two main reasons namely the heterogeneity problem prevailing in the information resources and the non-semantic nature of HTML and URL. Information heterogeneity occurs in syntax, structure and semantics. Though enhanced techniques are developed to solve syntactic and structural heterogeneity problems (Giunchiglia, Yatskevich, & Shvaiko, 2007), the problem of semantic heterogeneity is still prevailing to be a great challenge. When two contexts do not share the same interpretation of information, semantic heterogeneity occurs. Several approaches were proposed in the past (Doan et al., 2003) to solve semantic heterogeneity problems like synonym sets, concept lattices, features and constraints. However, all these existing approaches could solve this problem only partially.

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