NDLI: On the expressiveness of implicit provenance in query and update languages

Content Provider	ACM Digital Library
Author	Buneman, Peter Vansummeren, Stijn Cheney, James
Copyright Year	2008
Abstract	Information describing the origin of data, generally referred to as $\textit{provenance},$ is important in scientific and curated databases where it is the basis for the trust one puts in their contents. Since such databases are constructed using operations of both query and update languages, it is of paramount importance to describe the effect of these languages on provenance. In this article we study provenance for query and update languages that are closely related to SQL, and compare two ways in which they can manipulate provenance so that elements of the input are rearranged to elements of the output: implicit provenance, where a query or update only provides the rearranged output, and provenance is provided implicitly by a default provenance semantics; and explicit provenance, where a query or update provides both the output and the description of the provenance of each component of the output. Although explicit provenance is in general more expressive, we show that the classes of implicit provenance operations expressible by query and update languages correspond to natural semantic subclasses of the explicit provenance queries. One of the consequences of this study is that provenance separates the expressive power of query and update languages. The model is also relevant to annotation propagation schemes in which annotations on the input to a query or update have to be transferred to the output or vice versa.
Starting Page	1
Ending Page	47
Page Count	47
File Format	PDF
ISSN	03625915
e-ISSN	15574644
DOI	10.1145/1412331.1412340
Volume Number	33
Issue Number	4
Journal	ACM Transactions on Database Systems (TODS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-12-12
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Provenance Conservativity Nested relational calculus Nested update language
Content Type	Text
Resource Type	Article
Subject	Information Systems

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