Data mapping as search

G.H.L. Fletcher, C.M. Wyss

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    15 Citations (Scopus)

    Abstract

    In this paper, we describe and situate the 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, approaches mapping discovery as search within the transformation space of these instances based on a set of mapping operators. mapping 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 , both on synthetic and real world datasets, indicates that the approach is both viable and effective.
    Original languageEnglish
    Title of host publicationProceedings of the 10th International Conference on Extending Database Technology: Advances in Database Technology (EDBT 2006), 26-31 March 2006, Munich, Germany
    EditorsY. Ioannidis, M.H. Scholl, J.W. Schmidt, F. Matthes, M. Hatzopoulos, K. Böhm, A. Kemper, T. Grust, C. Böhm
    Place of PublicationBerlin
    PublisherSpringer
    Pages95-111
    ISBN (Print)3-540-32960-9
    DOIs
    Publication statusPublished - 2006

    Publication series

    NameLecture Notes in Computer Science
    Volume3896
    ISSN (Print)0302-9743

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