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    Data mapping as search

    Fletcher, George H.L. and Wyss, C.M. (2006) Data mapping as search. In: Ioannidis, Y.E. and Scholl, M.H. and Schmidt, J.W. and Matthes, F. and Hatzopoulos, M. and Bohm, K. and Kemper, A. and Grust, T. and Bohm, C. (eds.) Advances in Database Technology (EDBT) 2006: 10th International Conference on Extending Database Technology. Lecture Notes in Computer Science 3896. Springer, pp. 95-111. ISBN 9783540329602.

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    Abstract

    In this paper, we describe and situate the tupelo system for data mapping in relational databases. Automating the discovery of mappings between structured data sources is a long standing and important problem in data management. Starting from user provided example instances of the source and target schemas, tupeloapproaches mapping discovery as search within the transformation space of these instances based on a set of mapping operators. tupelomapping expressions incorporate not only data-metadata transformations, but also simple and complex semantic transformations, resulting in significantly wider applicability than previous systems. Extensive empirical validation of tupelo, both on synthetic and real world datasets, indicates that the approach is both viable and effective.

    Metadata

    Item Type: Book Section
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 30 Mar 2021 07:36
    Last Modified: 30 Mar 2021 07:36
    URI: https://eprints.bbk.ac.uk/id/eprint/43722

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