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Schema Matching

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Recommended Reading

  1. Batini C, Lenzerini M, Navathe SB. A comparative analysis of methodologies for database schema integration. ACM Comput Surv. 1986;18(4):323–64.

    Article  Google Scholar 

  2. Bernstein PA, Halevy AY, Pottinger RA. A vision for management of complex models. ACM SIGMOD Rec. 2000;29(4):55–63.

    Article  Google Scholar 

  3. Dhamankar R, Lee Y, Doan A, Halevy A, Domingos P. iMap: discovering complex semantic matches between database schemas. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2004.

    Google Scholar 

  4. Do H, Rahm E. Coma – a system for flexible combination of schema matching approaches. In: Proceedings of the 28th International Conference on Very Large Data Bases; 2002. p. 610–21.

    Chapter  Google Scholar 

  5. Kang J, Naughton JF. On schema matching with opaque column names and data values. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2003. p. 205–16.

    Google Scholar 

  6. Madhavan J, Bernstein PA, Rahm E. Generic schema matching with cupid. In: Proceedings of the 27th International Conference on Very Large Data Bases; 2001. p. 49–58.

    Google Scholar 

  7. Melnik S, Garcia-Molina H, Rahm E. Similarity flooding: a versatile graph matching algorithm. In: Proceedings of the 18th International Conference on Data Engineering; 2002. p. 117–28.

    Google Scholar 

  8. Miller RJ, Haas LM, Hernández MA. Schema matching as query discovery. In: Proceedings of the 26th International Conference on Very Large Data Bases; 2000. p. 77–88.

    Google Scholar 

  9. Rahm E, Bernstein PA. A survey of approaches to automatic schema matching. VLDB J. 1994;10(4):334–50.

    Article  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. IBM T.J. Watson Research Center, Hawthorne, NY, USA

    Anastasios Kementsietsidis

Authors
  1. Anastasios Kementsietsidis
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Correspondence to Anastasios Kementsietsidis .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Dept. of Computer Science, University of Toronto, Department of Computer Science, Toronto, ON, Canada

    Renée J. Miller

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Kementsietsidis, A. (2018). Schema Matching. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_962

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