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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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Fig. 1.

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Correspondence to Tanja Auge or Andreas Heuer .

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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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98378-3

  • Online ISBN: 978-3-319-98379-0

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