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Constraint-generating dependencies

  • Université libre de Bruxelles
  • University of Liege

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Traditionally, dependency theory has been developed for uninterpreted data. Specifically, the only assumption that is made about the data domains is that data values can be compared for equality. However, data is often interpreted and there can be advantages in considering it as such, for instance obtaining more compact representations as done in constraint databases. This paper considers dependency theory in the context of interpreted data. Specifically, it studies constraint-generating dependencies. These are a generalization of equality-generating dependencies where equality requirements are replaced by constraints on an interpreted domain. The main technical results in the paper are a general decision procedure for the implication and consistency problems for constraint-generating dependencies, and complexity results for specific classes of such dependencies over given domains. The decision procedure proceeds by reducing the dependency problem to a decision problem for the constraint theory of interest, and is applicable as soon as the underlying constraint theory is decidable. The complexity results are, in some cases, directly lifted from the constraint theory; in other cases, optimal complexity bounds are obtained by taking into account the specific form of the constraint decision problem obtained by reducing the dependency implication problem.

Original languageEnglish
Title of host publicationDatabase Theory - ICDT 1995 - 5th International Conference, Proceedings
EditorsGeorg Gottlob, Moshe Y. Vardi
PublisherSpringer Verlag
Pages322-337
Number of pages16
ISBN (Print)3540589074, 9783540589075
DOIs
StatePublished - 1995
Event5th International Conference on Database Theory, ICDT 1995 - Prague, Czech Republic
Duration: Jan 11 1995Jan 13 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume893
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Database Theory, ICDT 1995
Country/TerritoryCzech Republic
CityPrague
Period01/11/9501/13/95

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