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Evaluation Query Answer over Inconsistent Database with Annotations

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Book cover Web Information Systems and Mining (WISM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6318))

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Abstract

In this paper, we introduce an annotation based data model of relational database that may violate a set of functional dependency. In the data model, every piece of data in a relation can have zero or more annotations with it and annotations are propagated along with queries from the source to the output. With annotations, data in both input data and query answer can be divided into certain and uncertain part down to cell level. It can avoid information loss. To query an annotated database, we propose an extension of SPJ-UNION SQL, CASQL, and algorithms for evaluating CASQL so that annotations can be correctly propagated as the valid set of functional dependency changes during query processing. Last, we present a set of performance experiments which show that time performance of our approach is acceptable, but performance in information preserving is excellent.

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References

  1. Bohannon, P., Flaster, M., Fan, W., Rastogi, R.: A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification. In: SIGMOD Conference 2005, pp. 143–154 (2005)

    Google Scholar 

  2. Wijsen, J.: Database Repairing using Updates. ACM Transactions on Database Systems 30(3), 722–768 (2005)

    Article  Google Scholar 

  3. Lopatenko, A., Bravo, L.: Efficient Approximation Algorithms for Repairing Inconsistent Databases. In: ICDE 2007, pp. 216–225 (2007)

    Google Scholar 

  4. Franconi, E., Palma, A.L., Leone, N., Perri, S., Scarcello, F.: Census data repair: a challenging application of disjunctive logic programming. In: Nieuwenhuis, R., Voronkov, A. (eds.) LPAR 2001. LNCS (LNAI), vol. 2250, pp. 561–578. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  5. Arenas, M., Bertossi, L.E., Chomicki, J.: Consistent query answers in inconsistent databases. In: Proceeding of the PODS Conference,Philadelphia, pp. 68–79 (1999)

    Google Scholar 

  6. Chomicki, J.: Consistent Query Answering: Five Easy Pieces. In: Schwentick, T., Suciu, D. (eds.) ICDT 2007. LNCS, vol. 4353, pp. 1–17. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  7. Bertossi, L., Chomicki, J.: Query Answering in Inconsistent Databases. Logics for Emerging Applications of Databases, 43–83 (2003)

    Google Scholar 

  8. Wu, A., Tan, Z., Wang, W.: Annotation based query answer over inconsistent database. Journal of Computer Science and Technology (JCST) 25(3), 467–479 (2010)

    Google Scholar 

  9. Klug, A.C.: Calculating Constraints on Relational Expressions. ACM Trans. Database Syst. 5(3), 260–290 (1980)

    Article  MathSciNet  MATH  Google Scholar 

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Wu, A. (2010). Evaluation Query Answer over Inconsistent Database with Annotations. In: Wang, F.L., Gong, Z., Luo, X., Lei, J. (eds) Web Information Systems and Mining. WISM 2010. Lecture Notes in Computer Science, vol 6318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16515-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-16515-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16514-6

  • Online ISBN: 978-3-642-16515-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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