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DILS
2005
Springer

Cluster Based Integration of Heterogeneous Biological Databases Using the AutoMed Toolkit

10 years 3 months ago
Cluster Based Integration of Heterogeneous Biological Databases Using the AutoMed Toolkit
This paper presents an extensible architecture that can be used to support the integration of heterogeneous biological data sets. In our architecture, a clustering approach has been developed to support distributed biological data sources with inconsistent identiļ¬cation of biological objects. The architecture uses the AutoMed data integration toolkit to store the schemas of the data sources and the semiautomatically generated transformations from the source data into the data of an integrated warehouse. AutoMed supports bi-directional, extensible transformations which can be used to update the warehouse data as entities change, are added, or are deleted in the data sources. The transformations can also be used to support the addition or removal of entire data sources, or evolutions in the schemas of the data sources or of the warehouse itself. The results of using the architecture for the integration of existing genomic data sets are discussed.
Michael Maibaum, Lucas Zamboulis, Galia Rimon, Chr
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where DILS
Authors Michael Maibaum, Lucas Zamboulis, Galia Rimon, Christine A. Orengo, Nigel J. Martin, Alexandra Poulovassilis
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