Tuple-Independent Representations of Infinite Probabilistic Databases
ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS), vol. 51, pp. 1–401
Abstract
Infinite probabilistic databases (PDBs) are a framework of probability distributions over infinitely many different database instances. We systematically study the representability problem for such PDBs by means of tuple-independence and first-order views. Although first-order views over tuple-independent PDBs are not a complete representation system for infinite PDBs, they form a fairly robust class: Adding first-order constraints does not give them additional expressive power, and they cover many relevant special cases such as block-independent disjoint PDBs, and PDBs of bounded instance size. We identify criteria for representability (or non-representability) in this class and explore their limits. In addition, we study the expressive power of fragments of first-order logic over tuple-independent PDBs. In general, for infinite PDBs, the landscape of relative expressive power for various classes of views over PDBs with independence assumptions is much more complex than in the finite setting.
Authors 4
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Centre National de la Recherche Scientifique · Institut national de recherche en sciences et technologies du numérique · Technion – Israel Institute of Technology · Université de Montpellier · Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Affiliation as printed
Technion - Israel Institute of Technology, Haifa, Israel
Inria, LIRMM, University of Montpellier, CNRS, Montpellier, France
Technion-Israel Institute of Technology
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Martin Grohe Aachen
Affiliation as printed
RWTH Aachen University, Aachen, Germany
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Affiliation as printed
RWTH Aachen University, Aachen, Germany
Logic and Theory of Discrete Systems, RWTH Aachen University, Aachen, Germany
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Christoph Standke Aachen
Affiliation as printed
RWTH Aachen University, Aachen, Germany
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