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Finding equivalent rewritings in the presence of arithmetic comparisons

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dc.contributor.author Afrati, F en
dc.contributor.author Chirkova, R en
dc.contributor.author Gergatsoulis, M en
dc.contributor.author Pavlaki, V en
dc.date.accessioned 2014-03-01T02:44:03Z
dc.date.available 2014-03-01T02:44:03Z
dc.date.issued 2006 en
dc.identifier.issn 0302-9743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31643
dc.subject Conjunctive Queries en
dc.subject Data Management en
dc.subject Efficient Algorithm en
dc.subject Select Project Join en
dc.subject.classification Computer Science, Theory & Methods en
dc.subject.other Arithmetic comparisons (ACs) en
dc.subject.other Data-management problems en
dc.subject.other Enumeration algorithms en
dc.subject.other SQL en
dc.subject.other Algorithms en
dc.subject.other Computational complexity en
dc.subject.other Digital arithmetic en
dc.subject.other Information management en
dc.subject.other Problem solving en
dc.subject.other Query languages en
dc.title Finding equivalent rewritings in the presence of arithmetic comparisons en
heal.type conferenceItem en
heal.identifier.primary 10.1007/11687238_55 en
heal.identifier.secondary http://dx.doi.org/10.1007/11687238_55 en
heal.language English en
heal.publicationDate 2006 en
heal.abstract The problem of rewriting queries using views has received significant attention because of its applications in a wide variety of data-management problems. For select-project-join SQL (a.k.a. conjunctive) queries and views, there are efficient algorithms in the literature, which find equivalent and maximally contained rewritings. In the presence of arithmetic comparisons (ACs) the problem becomes more complex. We do not know how to find maximally contained rewritings in the general case. There are algorithms which find maximally contained rewritings only for special cases such as when ACs are restricted to be semi-interval. However, we know that the problem of finding an equivalent rewriting (if there exists one) in the presence of ACs is decidable, yet still doubly exponential. This complexity calls for an efficient algorithm which will perform better on average than the complete enumeration algorithm. In this work we present such an algorithm which is sound and complete. Its efficiency lies in that it considers fewer candidate rewritings because it includes a preliminary test to decide for each view whether it is potentially useful in some rewriting. © Springer-Verlag Berlin Heidelberg 2006. en
heal.publisher SPRINGER-VERLAG BERLIN en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
heal.bookName LECTURE NOTES IN COMPUTER SCIENCE en
dc.identifier.doi 10.1007/11687238_55 en
dc.identifier.isi ISI:000237081600055 en
dc.identifier.volume 3896 LNCS en
dc.identifier.spage 942 en
dc.identifier.epage 960 en


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