首页    期刊浏览 2024年09月14日 星期六
登录注册

文章基本信息

  • 标题:Entropy Bounds for Conjunctive Queries with Functional Dependencies
  • 本地全文:下载
  • 作者:Tomasz Gogacz ; Szymon Torunczyk
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2017
  • 卷号:68
  • 页码:15:1-15:17
  • DOI:10.4230/LIPIcs.ICDT.2017.15
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We study the problem of finding the worst-case size of the result Q(D) of a fixed conjunctive query Q applied to a database D satisfying given functional dependencies. We provide a characterization of this bound in terms of entropy vectors, and in terms of finite groups. In particular, we show that an upper bound provided by [Gottlob, Lee, Valiant and Valiant, J.ACM, 2012] is tight, and that a correspondence of [Chan and Yeung, ACM TOIT, 2002] is preserved in the presence of functional dependencies. However, tightness of a weaker upper bound provided by Gottlob et al., which would have immediate applications to evaluation of join queries ([Khamis, Ngo, and Suciu, PODS, 2016]) remains open. Our result shows that the problem of computing the worst-case size bound, in the general case, is closely related to difficult problems from information theory.
  • 关键词:database theory; conjunctive queries; size bounds; entropy; finite groups; entropy cone
国家哲学社会科学文献中心版权所有