ProvenanceCurious: a tool to infer data provenance from scripts

M.R. Huq, Peter M.G. Apers, Andreas Wombacher

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

13 Citations (Scopus)
17 Downloads (Pure)

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 success-fully handling other scripts in different contexts.
Original languageUndefined
Title of host publicationProceedings of the 16th International Conference on Extending Database Technology (EDBT 2013)
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages765-768
Number of pages4
ISBN (Print)978-1-4503-1597-5
DOIs
Publication statusPublished - Mar 2013

Publication series

Name
PublisherACM

Keywords

  • e-science
  • Data Provenance
  • EWI-23250
  • IR-85508
  • METIS-296394

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