A framework for interest-based community evolution and sharing of latent knowledge
by Mayank Pandey; Varun Kumar Pathak; Banshi Dhar Chaudhary
International Journal of Grid and Utility Computing (IJGUC), Vol. 3, No. 2/3, 2012

Abstract: The Government of India has taken initiative to establish a National Knowledge Network (NKN) to promote collaborative research and knowledge sharing. The knowledge to be shared is distributed on the nodes situated behind proxies/NATs of different institutions which are not visible to outside world. We term such knowledge as latent knowledge. In this paper we present the design and implementation of publish/subscribe system over hierarchical structured peer-to-peer (P2P) overlay for evolution and management of interest-based communities over NKN. Our hierarchical DHT has three tiers and it permits dynamic leaving and joining of peers and their migration between tiers. We have developed semantically enriched content-based publish/subscribe over our three-tier DHT using domain ontology for sharing latent knowledge. The simulation results establish the applicability of our approach. Further, we present the details of our prototype implementation which have been successfully tested and made operational in two geographically separated organisations connected by NKN.

Online publication date: Sat, 20-Dec-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 Grid and Utility Computing (IJGUC):
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