An automated approach to extract domain ontology for an e-learning system
by B. Saleena; S.K. Srivatsa
International Journal of Innovation and Learning (IJIL), Vol. 15, No. 3, 2014

Abstract: The main aim of the proposed work is to design an automated approach to extract domain ontology from the e-learning resources. The domain ontology derived is embedded into the e-learning system so that the learners can be provided with more relevant and meaningful learning materials based on their knowledge levels. The advantage of the proposed approach is the concept map extraction that is effectively achieved through the use of association rule mining algorithm and fuzzy techniques. Experimentations were carried out to prove the efficiency in constructing the domain ontology and the performance is analysed with the previous approach. Simulation experiments were carried out to implement the automated domain ontology to the adaptive e-learning system.

Online publication date: Sat, 21-Jun-2014

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 Innovation and Learning (IJIL):
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