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International Provenance and Annotation Workshop

IPAW 2018: Provenance and Annotation of Data and Processes pp 222–225Cite as

Combining Provenance Management and Schema Evolution

Part of the Lecture Notes in Computer Science book series (LNISA,volume 11017)

Abstract

The combination of provenance management and schema evolution using the CHASE algorithm is the focus of our research in the area of research data management. The aim is to combine the construction of a CHASE inverse mapping to calculate the minimal part of the original database — the minimal sub-database — with a CHASE-based schema mapping for schema evolution.

Keywords

  • CHASE algorithm
  • Data provenance
  • Schema evolution
  • Data evolution
  • Schema mapping
  • CHASE inverse

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References

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Author information

Authors and Affiliations

  1. University of Rostock, Rostock, Germany

    Tanja Auge & Andreas Heuer

Authors
  1. Tanja Auge
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  2. Andreas Heuer
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Corresponding authors

Correspondence to Tanja Auge or Andreas Heuer .

Editor information

Editors and Affiliations

  1. Paris Dauphine University, Paris, France

    Khalid Belhajjame

  2. SRI International, Menlo Park, CA, USA

    Ashish Gehani

  3. University of Luxembourg, Belvaux, Luxembourg

    Pinar Alper

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Auge, T., Heuer, A. (2018). Combining Provenance Management and Schema Evolution. In: Belhajjame, K., Gehani, A., Alper, P. (eds) Provenance and Annotation of Data and Processes. IPAW 2018. Lecture Notes in Computer Science(), vol 11017. Springer, Cham. https://doi.org/10.1007/978-3-319-98379-0_24

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  • DOI: https://doi.org/10.1007/978-3-319-98379-0_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98378-3

  • Online ISBN: 978-3-319-98379-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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