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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.

Number of Pages in PDF File: 26

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

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Date posted: 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 or http://dx.doi.org/10.2139/ssrn.1477615

Contact Information

Aykut Firat (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
77 Massachusetts Ave.
E62-369
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
Feedback to SSRN (Beta)


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