From Scripts Towards Provenance Inference

Mohammad Rezwanul Huq, Peter M.G. Apers, Yoshihide Wada, Ludovicus P.H. van Beek, Andreas Wombacher

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

1 Citation (Scopus)
182 Downloads (Pure)


Scientists require provenance information either to validate their model or to investigate the origin of an unexpected value. However, they do not maintain any provenance information and even designing the processing workflow is rare in practice. Therefore, in this paper, we propose a solution that can build the workflow provenance graph by interpreting the scripts used for actual processing. Further, scientists can request fine-grained provenance information facilitating the inferred workflow provenance.We also provide a guideline to customize the workflow provenance graph based on user preferences. Our evaluation shows that the proposed approach is relevant and suitable for scientists to manage provenance.
Original languageEnglish
Title of host publication2012 IEEE 8th International Conference on eScience (eScience)
Place of PublicationPiscataway, NJ
Number of pages8
ISBN (Print)978-1-4673-4467-8
Publication statusPublished - Oct 2012
Event8th IEEE International Conference on e-Science 2012 - Chicago, United States
Duration: 8 Oct 201212 Oct 2012
Conference number: 8


Conference8th IEEE International Conference on e-Science 2012
Abbreviated titlee-Science
Country/TerritoryUnited States


  • EWI-22685
  • IR-83455
  • METIS-293245
  • Data Provenance
  • Inference
  • Workflow
  • Hydrology


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