Skip to main content

Reasoning in Data Integration Systems: Why LAV and GAV Are Siblings

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2871))

Abstract

Data integration consists in providing a uniform access to a set of data sources, through a unified representation of the data called global schema; a mapping specifies the relationship between the global schema and the sources. Integrity constraints (ICs) are expressed on the global schema to better represent the domain of interest; in general, ICs are not satisfied by the data at the sources. In this paper we address the problem of query answering in GLAV data integration systems, where tuple-generating dependencies are expressed on the global schema. We solve the problem in an intensional fashion, by presenting a rewriting technique that, taking into account both the ICs and the mapping, allows us to compute the answers to a query, expressed over the global schema, by evaluating the rewritten query directly over the sources. Since the GLAV approach is a generalisation of the basic approaches LAV and GAV, we show that query answering under ICs can be done in the same way in LAV and GAV systems, thus proving that LAV and GAV are siblings, and not opposites.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases. Addison Wesley Publ. Co., Reading (1995)

    MATH  Google Scholar 

  2. Arenas, M., Bertossi, L.E., Chomicki, J.: Consistent query answers in inconsistent databases. In: Proc. of PODS 1999, pp. 68–79 (1999)

    Google Scholar 

  3. Calì, A., Calvanese, D., De Giacomo, G., Lenzerini, M.: On the expressive power of data integration systems. In: Spaccapietra, S., March, S.T., Kambayashi, Y. (eds.) ER 2002. LNCS, vol. 2503, p. 338. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  4. Calì, A., Calvanese, D., Giacomo, G.D., Lenzerini, M.: Data integration under integrity constraints. Information Systems(2003) (to appear)

    Google Scholar 

  5. Calì, A., Lembo, D., Rosati, R.: On the decidability and complexity of query answering over inconsistent and incomplete databases. In: Proc. of PODS (2003)

    Google Scholar 

  6. Calì, A., Lembo, D., Rosati, R.: Query rewriting and answering under constraints in data integration systems. In: Proc. of IJCAI (2003) (to appear)

    Google Scholar 

  7. Duschka, O.M., Genesereth, M.R.: Answering recursive queries using views. In: Proc. of PODS 1997, pp. 109–116 (1997)

    Google Scholar 

  8. Fagin, R., Kolaitis, P., Miller, R.J., Popa, L.: Data exchange: Semantics and query answering. In: Calvanese, D., Lenzerini, M., Motwani, R. (eds.) ICDT 2003. LNCS, vol. 2572, pp. 207–224. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  9. Friedman, M., Levy, A., Millstein, T.: Navigational plans for data integration. In: Proc. of AAAI 1999, pp. 67–73 (1999)

    Google Scholar 

  10. Greco, G., Greco, S., Zumpano, E.: A logic programming approach to the integration, repairing and querying of inconsistent databases. In: Codognet, P. (ed.) ICLP 2001. LNCS, vol. 2237, pp. 348–364. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  11. Gryz, J.: Query rewriting using views in the presence of functional and inclusion dependencies. Information Systems 24(7), 597–612 (1999)

    Article  MATH  Google Scholar 

  12. Halevy, A.Y.: Answering queries using views: A survey. VLDB Journal 10(4), 270–294 (2001)

    Article  MATH  Google Scholar 

  13. Johnson, D.S., Klug, A.C.: Testing containment of conjunctive queries under functional and inclusion dependencies. J. of Computer and System Sciences 28(1), 167–189 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  14. Koch, C.: Query rewriting with symmetric constraints. In: Eiter, T., Schewe, K.-D. (eds.) FoIKS 2002. LNCS, vol. 2284, pp. 130–147. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  15. Lenzerini, M.: Data integration: a theoretical perspective. In: Proc. of PODS 2002 (2002)

    Google Scholar 

  16. Lin, J., Mendelzon, A.O.: Merging databases under constraints. Int. J. of Cooperative. Information Systems 7(1), 55–76 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Calì, A. (2003). Reasoning in Data Integration Systems: Why LAV and GAV Are Siblings. In: Zhong, N., Raś, Z.W., Tsumoto, S., Suzuki, E. (eds) Foundations of Intelligent Systems. ISMIS 2003. Lecture Notes in Computer Science(), vol 2871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39592-8_79

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-39592-8_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20256-1

  • Online ISBN: 978-3-540-39592-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics