Advertisement

Inconsistency-Tolerant Integrity Checking Based on Inconsistency Metrics

  • Hendrik Decker
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6882)

Abstract

A large diversity of different approaches to integrity checking has been proposed in the literature. We present a generic approach to integrity checking that is based on inconsistency metrics. It subsumes many known approaches to integrity checking by a uniform abstraction. As opposed to traditional approaches to integrity checking, it permits the tolerance of extant (i.e., surviving) inconsistency. Inconsistency metrics have been widely studied in the literature, but, so far, their applicability to integrity checking has largely remained unaddressed.

Keywords

Integrity Theory Logic Programming Constraint Violation Integrity Constraint Deductive Database 
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.
    Afrati, F., Kolaitis, P.: Repair checking in inconsistent databases: algorithms and complexity. In: Proc. 12th ICDT, pp. 31–41. ACM Press, New York (2009)Google Scholar
  2. 2.
    Baltopoulos, I., Borgstroem, J., Gordon, A.: Maintaining Database Integrity with Refinement Types. University of Cambridge Whitepaper (2010)Google Scholar
  3. 3.
    Benedikt, M., Bruns, G.: On Guard: Producing Run-Time Checks from Integrity Constraints. In: Rattray, C., Maharaj, S., Shankland, C. (eds.) AMAST 2004. LNCS, vol. 3116, pp. 27–41. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  4. 4.
    Christiansen, H., Martinenghi, D.: On simplification of database integrity constraints. Fundam. Inform. 71(4), 371–417 (2006)MathSciNetzbMATHGoogle Scholar
  5. 5.
    Decker, H.: Data Quality Maintenance by Integrity-preserving Repairs that Tolerate Inconsistency. To appear in Proc. 11th QSIC. IEEE CSP, Los Alamitos (July 2011)Google Scholar
  6. 6.
    Decker, H.: Answers that Have Integrity. Presented at the ICALP Workshop SDKB 2010, to appear in Post-Workshop, Proc. of SDKB. LNCS. Springer, Heidelberg (2011)Google Scholar
  7. 7.
    Decker, H.: Toward a Uniform Cause-based Approach to Inconsistency-tolerant Database Semantics. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6427, pp. 983–998. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  8. 8.
    Decker, H., Martinenghi, D.: Inconsistency-tolerant Integrity Checking. IEEE TKDE 23(2), 218–234 (2011)Google Scholar
  9. 9.
    Decker, H., Martinenghi, D.: Modeling, Measuring and Monitoring the Quality of Information. In: Heuser, C.A., Pernul, G. (eds.) ER 2009. LNCS, vol. 5833, pp. 212–221. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  10. 10.
    Decker, H., Martinenghi, D.: Classifying integrity checking methods with regard to inconsistency tolerance. In: Proc. 10th PPDP, pp. 195–204. ACM Press, New York (2008)Google Scholar
  11. 11.
    Grant, J., Hunter, A.: Measuring inconsistency in knowledgebases. J. Intelligent Information Systems 27(2), 159–184 (2006)CrossRefGoogle Scholar
  12. 12.
    Gupta, A., Sagiv, Y., Ullman, J., Widom, J.: Constraint checking with partial information. In: Proc. 13th PODS, pp. 45–55. ACM Press, New York (1994)Google Scholar
  13. 13.
    Leuschel, M., de Schreye, D.: Creating specialised integrity checks through partial evaluation of meta-interpreters. Journal of Logic Programming 36(2), 149–193 (1998)MathSciNetCrossRefzbMATHGoogle Scholar
  14. 14.
    Lloyd, J.: Foundations of Logic Programming, 2nd edn. Springer, Heidelberg (1987)CrossRefzbMATHGoogle Scholar
  15. 15.
    Nicolas, J.M.: Logic for improving integrity checking in relational data bases. Acta Informatica 18, 227–253 (1982)MathSciNetCrossRefzbMATHGoogle Scholar
  16. 16.
    Ramakrishnan, R., Gehrke, J.: Database Management Systems. McGraw-Hill, New York (2003)zbMATHGoogle Scholar
  17. 17.
    Ross, K., Srivastava, D., Sudarshan, S.: Materialized View Maintenance and Integrity Constraint Checking: Trading Space for Time. In: Proc. SIGMOD 1996, pp. 447–458. ACM Press, New York (1996)Google Scholar
  18. 18.
    Rotaru, O., Petrescu, M.: A Database Integrity Pattern Language. Leonardo Journal of Sciences 5, 46–62 (2004)Google Scholar
  19. 19.
    Sadri, F., Kowalski, R.: A theorem-proving approach to database integrity. In: Minker, J. (ed.) Foundations of Deductive Databases and Logic Programming, pp. 313–362. Morgan Kaufmann, San Francisco (1988)CrossRefGoogle Scholar
  20. 20.
    Zhu, L.: Enforcement of Integrity Constraints in Deductive Databases. PhD Thesis at Simon Fraser University (1992)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hendrik Decker
    • 1
  1. 1.Instituto Tecnológico de InformáticaValenciaSpain

Personalised recommendations