A novel approach for similarity and indexing-based ontology for semantic web educational system
by A. Brahmananda Reddy; A. Govardhan
International Journal of Intelligent Engineering Informatics (IJIEI), Vol. 4, No. 2, 2016

Abstract: Several web-based educational systems have been designed and widely used for the past two decades. However, there are some limitations in the previous systems. The integration of semantic web and artificial intelligence explores new methods for educational concepts. For instance, an educational system based on the semantic web (ESBSW) which represents the content and the knowledge in the form of ontology and counts on intelligent agents that allow machines to understand the web content. In this paper, a new approach for an educational system based on the semantic web is developed. The architecture of the system and the new mechanism for similarity and indexing based on ontology is proposed and elaborated. This paper also compares the performance evaluation of indexing system in the vector space model (VSM) and ontology-based information retrieval models. The similarity between the concept and document is calculated using semantic similarity measure.

Online publication date: Sun, 22-May-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Engineering Informatics (IJIEI):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com