AutoMed: A BAV Data Integration System for Heterogeneous Data Sources

Authors: 
Boyd, M.; Kittivoravitkul, S.; Lazanitis, C.; McBrien, P.; Rizopoulos, N.
Author: 
Boyd, M
Kittivoravitkul, S
Lazanitis, C
McBrien, P
Rizopoulos, N
Year: 
2004
Venue: 
16th Intl Conf., CAiSE 2004, Riga, Latvia, June, 2004, LNCS
URL: 
http://www.doc.ic.ac.uk/~nr600/research/bklmr04.pdf
Citations: 
0
Citations range: 
n/a
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Boyd2004AutoMedABAVDataIntegration.pdf179.31 KB

This paper describes the AutoMed repository and some asso-
ciated tools, which provide the first implementation of the both as view
(BAV) approach to data integration. Apart from being a highly expressive data integration approach, BAV in additional provides a method to
support a wide range of data modelling languages, and describes transformations between those data modelling languages. This paper documents
how BAV has been implemented in the AutoMed repository, and how
several practical problems in data integration between heterogeneous
data sources have been solved. We illustrate the implementation with
examples in the relational, ER, and semi-structured data models.