DocumentCode :
3718117
Title :
Recursive decomposition as a method for integrating heterogeneous data sources
Author :
R. Uskenbayeva;Young Im Cho;G. Bektemyssova;Z. Uskenbayeva;T. Temirbolatova;A. Kassymova
Author_Institution :
CSSE&
fYear :
2015
Firstpage :
623
Lastpage :
626
Abstract :
In this article, proposes a model of data integration in which should be supported a unified view of heterogeneous data sources, management of integrity constraints, managing the execution of operations of data manipulation and query, reconciliation of data from different sources, the ability to extend and customize the new data sources. The proposed approach to integration is based on the recursive decomposition of data sources where each source data is divided sequentially into atomic data items, wherein for each level of the recursive nesting data and their descriptions are represented uniformly. Such model enables the integration of different data sources at any level by setting arbitrary links between elements of the scheme, integrity constraints and allowed operations.
Keywords :
Data models
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2015 15th International Conference on
ISSN :
2093-7121
Type :
conf
DOI :
10.1109/ICCAS.2015.7364993
Filename :
7364993
Link To Document :
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