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Extending Partial Information Policy Operator to Achieve Data Federation in Relational Databases

Author(s):

Krupa P. Mistry , Parul Institute of Engineering And Technology; Amit Rathod, Parul Institute of Engineering And Technology

Keywords:

Partial information handling in databases, Knowledge personalization and customization, Relational database, Data federation.

Abstract

Most databases in real world have some amount of missing data. There are some solutions exists for handling the incompleteness. One of them is Partial Information Policy (PIP) operator. It is customized policy; end user can handle incompleteness by their way. PIP operator is denoted by ρ, which take conditions to fill incompleteness from end user. To fetch required information from various heterogonous data sources, a different policies use to handle incompleteness. So, it gives inconsistence result, due to incomplete data and different policies uses for that in some data sources. To overcome with this problem, in this paper, we have proposed data federation with Partial Information Policy (PIP) operator which is a reliable way to handle incompleteness in relational databases. Here, a generic approach to create a data federation, providing methods for schema integration (in order to create the federation schema), query decomposition (in order to translate the query to the federation into queries to subsequent database) and result integration (to select the answer that best suits the user information need). Hence, the overall quality and accuracy of the query answer will be improved.

Other Details

Paper ID: IJSRDV2I3208
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 594-598

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