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    Cluster based integration of heterogeneous biological databases using the AutoMed toolkit

    Maibaum, M. and Zamboulis, Lucas and Rimon, G. and Orengo, C.A. and Martin, Nigel and Poulovassilis, Alexandra (2005) Cluster based integration of heterogeneous biological databases using the AutoMed toolkit. In: Ludascher, B. and Raschid, L. (eds.) Data Integration in the Life Sciences. Lecture Notes In Computer Science 3615 3615. Berlin, Germany: Springer, pp. 191-207. ISBN 9783540279679.

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    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 identification of biological objects. The architecture uses the AutoMed data integration toolkit to store the schemas of the data sources and the semi-automatically 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.


    Item Type: Book Section
    Additional Information: Second International Workshop, DILS 2005, San Diego, CA, USA, July 20-22, 2005. Proceedings
    School: School of Science > Biological Sciences
    School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centres and Institutes: Innovation Management Research, Birkbeck Centre for, Bioinformatics, Bloomsbury Centre for (Closed), Structural Molecular Biology, Institute of (ISMB), Birkbeck Knowledge Lab
    Depositing User: Administrator
    Date Deposited: 15 Aug 2013 10:21
    Last Modified: 12 Dec 2016 13:56


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