Advertisement

Teaching a Schema Translator to Produce O/R Views

  • Peter Mork
  • Philip A. Bernstein
  • Sergey Melnik
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4801)

Abstract

This paper describes a rule-based algorithm to derive a relational schema from an extended entity-relationship model. Our work is based on an approach by Atzeni and Torlone in which the source EER model is imported into a universal metamodel, a series of transformations are performed to eliminate constructs not appearing in the relational metamodel, and the result is exported. Our algorithm includes novel features that are needed for practical object to relational mapping systems: First, it generates forward- and reverse-views that transform instances of the source model into instances of the target and back again. These views automate the object-to-relational (O/R) mapping. Second, it supports a flexible mapping of inheritance hierarchies to flat relations that subsumes and extends prior approaches. Third, it propagates incremental updates of the source model into incremental updates of the target. We prove the algorithm’s correctness and demonstrate its practicality in an implementation.

Keywords

Source Model Target Model Target Schema Schema Translation Abstract Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
  2. 2.
    Atzeni, P., Torlone, R.: Management of Multiple Models in an Extensible Database Design Tool. In: Apers, P.M.G., Bouzeghoub, M., Gardarin, G. (eds.) EDBT 1996. LNCS, vol. 1057, pp. 79–95. Springer, Heidelberg (1996)Google Scholar
  3. 3.
    Atzeni, P., Cappellari, P., Bernstein, P.: ModelGen: Model Independent Schema Translation. In: Ioannidis, Y., Scholl, M.H., Schmidt, J.W., Matthes, F., Hatzopoulos, M., Boehm, K., Kemper, A., Grust, T., Boehm, C. (eds.) EDBT 2006. LNCS, vol. 3896, pp. 368–385. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  4. 4.
    Barsalou, T., Gangopadhyay, D.: M(DM): An Open Framework for Interoperation of Multimodel Multidatabase Systems. ICDE, 218–227 (1992)Google Scholar
  5. 5.
    Bernstein, P., Melnik, S., Mork, P.: Interactive Schema Translation with Instance-Level Mappings (demo), VLDB, pp. 1283–1286 (2005)Google Scholar
  6. 6.
    Blakeley, J., Muralidhar, S., Nori, A.: The ADO.NET Entity Framework: Making the Conceptual Level Real. In: Embley, D.W., Olivé, A., Ram, S. (eds.) ER 2006. LNCS, vol. 4215, pp. 552–565. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  7. 7.
    Bowers, S., Delcambre, L.M.L.: On Modeling Conformance for Flexible Transformation over Data Models, Knowl. Transformation for the Semantic Web (at 15th ECAI), pp. 19–26.Google Scholar
  8. 8.
    Bowers, S., Delcambr, L.M.L.: The Uni-Level Description: A Uniform Framework for Representing Information in Multiple Data Models. In: Song, I.-Y., Liddle, S.W., Ling, T.-W., Scheuermann, P. (eds.) ER 2003. LNCS, vol. 2813, pp. 45–58. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  9. 9.
    Boyd, M., McBrien, P.: Comparing and Transforming Between Data Models Via an Intermediate Hypergraph Data Model. J. Data Semantics IV, 69–109 (2005)zbMATHGoogle Scholar
  10. 10.
    Claypool, K.T., Rundensteiner, E.A.: Sangam: A Transformation Modeling Framework. DASFAA, pp. 47–54 (2003)Google Scholar
  11. 11.
    Fagin, R.: Multivalued Dependencies and a New Normal Form for Relational Databases. ACM TODS 2(3), 262–278 (1977)CrossRefGoogle Scholar
  12. 12.
    Fagin, R., Kolaitis, P.G., Popa, L., Tan, W.C.: Composing Schema Mappings: Second-Order Dependencies to the Rescue. ACM TODS 30(4), 994–1055 (2005)CrossRefGoogle Scholar
  13. 13.
    Hainaut, J.-L.: Entity-Generating Schema Transformations for Entity-Relationship Models. ER, 643–670 (1991)Google Scholar
  14. 14.
    Hainaut, J.-L.: Specification preservation in schema transformations-Application to semantics and statistics. Data Knowl. Eng. 16(1), 99–134 (1996)CrossRefzbMATHGoogle Scholar
  15. 15.
    Hainaut, J.-L., Hick, J.-M., Englebert, V., Henrard, J., Roland, D.: Understanding the Implementation of IS-A Relations. In: Thalheim, B. (ed.) ER 1996. LNCS, vol. 1157, pp. 42–57. Springer, Heidelberg (1996)CrossRefGoogle Scholar
  16. 16.
    Hainaut, J.-L.: The Transformational Approach to Database Engineering. In: Lämmel, R., Saraiva, J., Visser, J. (eds.) GTTSE 2005. LNCS, vol. 4143, pp. 89–138. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  17. 17.
  18. 18.
    Hull, R.: Relative Information Capacity of Simple Relational Database Schemata. SIAM J. Comput. 15(3), 856–886 (1986)MathSciNetCrossRefzbMATHGoogle Scholar
  19. 19.
    Hull, R., King, R.: Semantic Database Modeling: Survey, Applications and Research Issues. ACM Comp. Surveys 19(3), 201–260 (1987)CrossRefGoogle Scholar
  20. 20.
  21. 21.
    Jeusfeld, M.A., Johnen, U.A.: An Executable Meta Model for Re-Engineering of Database Schemas. Int. J. Cooperative Inf. Syst. 4(2-3), 237–258 (1995)CrossRefGoogle Scholar
  22. 22.
    Keller, A.M., Jensen, R., Agrawal, S.: Persistence Software: Bridging Object-Oriented Programming and Relational Databases. SIGMOD, 523–528 (1993)Google Scholar
  23. 23.
    Kensche, D., Quix, C., Chatti, M.A., Jarke, M.: GeRoMe. A Generic Role Based Metamodel for Model Management. In: Meersman, R., Tari, Z. (eds.) OTM 2005. LNCS, vol. 3781, pp. 1206–1224. Springer, Heidelberg (2005)Google Scholar
  24. 24.
    Mork, P., Bernstein, P.A., Melnik, S.: A Schema Translator that Produces Object-to-Relational Views. Technical Report MSR-TR-36. (2007), http://research.microsoft.com
  25. 25.
    Papotti, P., Torlone, R.: An Approach to Heterogeneous Data Translation based on XML Conversion. CAiSE Workshops 1, 7–19 (2004)Google Scholar
  26. 26.
    Papotti, P., Torlone, R.: Heterogeneous Data Translation through XML Conversion. J. of Web Eng 4(3), 189–204 (2005)Google Scholar
  27. 27.
    Poulovassilis, A., McBrien, P.A.: General Formal Framework for Schema Transformation. Data Knowl. Eng. 28(1), 47–71 (1998)CrossRefzbMATHGoogle Scholar
  28. 28.
    Rosenthal, A., Reiner, D.: Tools and Transformations? Rigorous and Otherwise? for Practical Database Design. ACM TODS 19(2), 167–211 (1994)CrossRefGoogle Scholar
  29. 29.
  30. 30.
    Shu, N.C., Housel, B., Taylor, R., Ghosh, S., Lum, V.: EXPRESS: A Data EXtraction, Processing, and REStructuring System. ACM TODS 2(2), 134–174 (1977)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Peter Mork
    • 1
  • Philip A. Bernstein
    • 2
  • Sergey Melnik
    • 2
  1. 1.The MITRE CorporationUSA
  2. 2.Microsoft ResearchAustralia

Personalised recommendations