Reconciling Equational Heterogeneity Within a Data Federation

26 Pages Posted: 23 Sep 2009

See all articles by Aykut Firat

Aykut Firat

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Stuart Madnick

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Michael Siegel

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Benjamin Grosof

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Frank Manola

Independent Consultant

Date Written: September 23, 2009

Abstract

Mappings in most federated databases are conceptualized and implemented as black-box transformations between source schemas and a federated schema. This approach does not allow specific mappings to be declared once and reused in other situations. We present an alternative approach, in which data-level mappings are represented independent of source and federated schemas as a network between “contexts”. This compendious representation expedites the data federation process via mapping reuse and automated mapping composition from simpler mappings. We illustrate the benefits of mapping reuse and composition by using an example that incorporates equational mappings and the application of symbolic equation solving techniques.

Keywords: Federated DBs, Logic programming, Heterogeneous information, Mediators and Wrappers

Suggested Citation

Firat, Aykut and Madnick, Stuart E. and Siegel, Michael and Grosof, Benjamin and Manola, Frank, Reconciling Equational Heterogeneity Within a Data Federation (September 23, 2009). MIT Sloan Research Paper No. 4753-09. Available at SSRN: https://ssrn.com/abstract=1477615 or http://dx.doi.org/10.2139/ssrn.1477615

Aykut Firat (Contact Author)

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

100 Main Street
E62-416
Cambridge, MA 02142
United States

Stuart E. Madnick

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

E53-321
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)

Michael Siegel

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

E53-323
Cambridge, MA 02142
United States
617-253-2937 (Phone)
617-258-7579 (Fax)

Benjamin Grosof

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

E53-317
Cambridge, MA 02142
United States
617-253-8694 (Phone)

HOME PAGE: http://www.mit.edu/~bgrosof

Frank Manola

Independent Consultant ( email )

No Address Available

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