Title: CADRA: context aware data retrieval architecture

Authors: Sukanta Ganguly

Addresses: MedGoline, LLC, 1467 Nesbit Ct, San Jose, CA 95120, USA

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.

Keywords: semantic search; context aware content; ad-hoc retrieval; semantic analysis; data retrieval; component-based software architecture; non-deterministic data modelling.

DOI: 10.1504/IJAIP.2011.038117

International Journal of Advanced Intelligence Paradigms, 2011 Vol.3 No.1, pp.82 - 92

Published online: 30 Sep 2014 *

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