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Representing Interoperable Provenance Descriptions for ETL Workflows

  • André FreitasEmail author
  • Benedikt Kämpgen
  • João Gabriel Oliveira
  • Seán O’Riain
  • Edward Curry
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7540)

Abstract

The increasing availability of data on the Web provided by the emergence of Web 2.0 applications and, more recently by Linked Data, brought additional complexity to data management tasks, where the number of available data sources and their associated heterogeneity drastically increases. In this scenario, where data is reused and repurposed on a new scale, the pattern expressed as Extract-Transform-Load (ETL) emerges as a fundamental and recurrent process for both producers and consumers of data on the Web. In addition to ETL, provenance, the representation of source artifacts, processes and agents behind data, becomes another cornerstone element for Web data management, playing a fundamental role in data quality assessment, data semantics and facilitating the reproducibility of data transformation processes. This paper proposes the convergence of these two Web data management concerns, introducing a principled provenance model for ETL processes in the form of a vocabulary based on the Open Provenance Model (OPM) standard and focusing on the provision of an interoperable provenance model for ETL environments. The proposed ETL provenance model is instantiated in a real-world sustainability reporting scenario.

Keywords

ETL Data transformation Provenance Linked Data Web 

Notes

Acknowledgements

The work presented in this paper has been funded by Science Foundation Ireland under Grant No.SFI/08/CE/I1380 (Lion-2), by the German Ministry of Education and Research (BMBF) within the SMART project (Ref. 02WM0800) and the European Community’s Seventh Framework Programme FP7/2007–2013 (PlanetData, Grant 257641).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • André Freitas
    • 1
    Email author
  • Benedikt Kämpgen
    • 2
  • João Gabriel Oliveira
    • 1
  • Seán O’Riain
    • 1
  • Edward Curry
    • 1
  1. 1.Digital Enterprise Research Institute (DERI)National University of IrelandGalwayIreland
  2. 2.Institute AIFBKarlsruhe Institute of TechnologyKarlsruheGermany

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