From scripts towards provenance inference

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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. ©2012 IEEE.
Original languageEnglish (US)
Title of host publication2012 IEEE 8th International Conference on E-Science, e-Science 2012
DOIs
StatePublished - Dec 1 2012
Externally publishedYes

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