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Title Data Exchange Beyond Complete Data
Authors Marcelo Arenas, Jorge Pérez, Juan Reutter
Publication date August 2013
Abstract In the traditional data exchange setting, source instances
are
restricted to be complete in the sense that every fact is either true or
false in these instances. Although natural for a typical database
translation scenario, this restriction is gradually becoming an impediment
to the development of a wide range of applications that need to exchange
objects that admit several interpretations. In particular, we are motivated
by two specific applications that go beyond the usual data exchange
scenario: exchanging incomplete information and exchanging knowledge bases.
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In this article, we propose a general framework for data exchange that can
deal with these two applications. More specifically, we address the problem
of exchanging information given by representation systems, which are
essentially finite descriptions of (possibly infinite) sets of complete
instances. We make use of the classical semantics of mappings specified by
sets of logical sentences to give a meaningful semantics to the notion of
exchanging representatives, from which the standard notions of solution,
space of solutions, and universal solution naturally arise. We also
introduce the notion of strong representation system for a class of
mappings, that resembles the concept of strong representation system for a
query language. We show the robustness of our proposal by applying it to the
two applications mentioned above: exchanging incomplete information and
exchanging knowledge bases, which are both instantiations of the exchanging
problem for representation systems. We study these two applications in
detail, presenting results regarding expressiveness, query answering and
complexity of computing solutions, and also algorithms to materialize
solutions.
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Pages 28:1-28:59
Volume 60
Journal name Journal of the ACM
Publisher ACM Press (New York, NY, USA)
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