CADRA: context aware data retrieval architecture
by Sukanta Ganguly
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 3, No. 1, 2011

Abstract: Data retrieval architectures are designed with various types of criteria. Most focus on matching the input request parameters to the target content. Inherent emphasis is on static data model underneath. Data retrieval from a static data model has some strong assumptions incorporated into the applications. Non-static data models have the obvious issue of application guessing/formulating a query to retrieve data from the repository. The mere fact that the underlying data model cannot be predicted in terms of its structure and format becomes a big issue. CADRA approaches these key aspects in its research. The component-based software architecture presented by CADRA creates an innovative methodology that can be applied to solve the non-deterministic data model problem. CADRA assimilates the heterogeneity of data sources within its model. CADRA addresses data retrieval within a heterogeneous environment absorbing the differences and performing dynamic data resolution inside the platform.

Online publication date: Tue, 30-Sep-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 Advanced Intelligence Paradigms (IJAIP):
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