ProvenanceCurious: a tool to infer data provenance from scripts

  • Authors:
  • Mohammad Rezwanul Huq;Peter M. G. Apers;Andreas Wombacher

  • Affiliations:
  • University of Twente, Enschede, The Netherlands;University of Twente, Enschede, The Netherlands;University of Twente, Enschede, The Netherlands

  • Venue:
  • Proceedings of the 16th International Conference on Extending Database Technology
  • Year:
  • 2013

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Abstract

The increasing data volume and highly complex models used in different domains make it difficult to debug models in cases of anomalies. Data provenance provides scientists sufficient information to investigate their models. In this paper, we propose a tool which can infer fine-grained data provenance based on a given script. The tool is demonstrated using a hydrological model. The tool is also tested successfully handling other scripts in different contexts.