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Reconciling Equational Heterogeneity Within a Data Federation

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


September 23, 2009

MIT Sloan Research Paper No. 4753-09

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

Working Paper Series

Date posted: September 23, 2009 ; Last revised: September 23, 2009

Suggested Citation

Firat, Aykut, Madnick, Stuart E., Siegel, Michael, 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: http://ssrn.com/abstract=1477615


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Contact Information

Aykut Firat (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
Cambridge, MA 02142
United States
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
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)
Frank Manola
Independent Consultant ( email )
No Address Available
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)
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