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Models of Provenance

(Abstract)

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Book cover Perspectives of Systems Informatics (PSI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7162))

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Abstract

As more and more information is available to us on the Web, the understanding of its provenance – its source and derivation – is essential to the trust we place in that information. Provenance has become especially important to scientific research, which now relies on information that has been repeatedly copied, transformed and annotated.

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Author information

Authors and Affiliations

  1. LFCS, School of Informatics, Crichton Street, Edinburgh, EH8 9LE, UK

    Peter Buneman

Authors
  1. Peter Buneman
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Editor information

Editors and Affiliations

  1. Computer Science Department, Carnegie Mellon University, 5000 Forbes Avenue, 15213-3891, Pittsburgh, PA, USA

    Edmund Clarke

  2. A.P. Ershov Institute of Informatics Systems Siberian Branch of the Russian Academy of Sciences, 6, Acad. Lavrentiev ave, Novosibirsk, 630090, Russia

    Irina Virbitskaite

  3. The University of Manchester, Oxford Road, M13 9PL, Manchester, UK

    Andrei Voronkov

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© 2012 Springer-Verlag Berlin Heidelberg

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Buneman, P. (2012). Models of Provenance. In: Clarke, E., Virbitskaite, I., Voronkov, A. (eds) Perspectives of Systems Informatics. PSI 2011. Lecture Notes in Computer Science, vol 7162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29709-0_3

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  • DOI: https://doi.org/10.1007/978-3-642-29709-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29708-3

  • Online ISBN: 978-3-642-29709-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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