From scripts towards provenance inference

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

doi:10.1109/eScience.2012.6404467

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 proceeding › Conference 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 language	English (US)
Title of host publication	2012 IEEE 8th International Conference on E-Science, e-Science 2012
DOIs	https://doi.org/10.1109/eScience.2012.6404467
State	Published - Dec 1 2012
Externally published	Yes

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@inproceedings{3378ecfee31344d7ae3071408c2a63d8,

title = "From scripts towards provenance inference",

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. {\textcopyright}2012 IEEE.",

author = "Huq, {Mohammad Rezwanul} and Apers, {Peter M.G.} and Andreas Wombacher and Yoshihide Wada and {Van Beek}, {Ludovicus P.H.}",

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AU - Apers, Peter M.G.

AU - Wombacher, Andreas

AU - Wada, Yoshihide

AU - Van Beek, Ludovicus P.H.

N1 - Generated from Scopus record by KAUST IRTS on 2023-09-18

PY - 2012/12/1

Y1 - 2012/12/1

N2 - 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.

AB - 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.

UR - http://ieeexplore.ieee.org/document/6404467/

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U2 - 10.1109/eScience.2012.6404467

DO - 10.1109/eScience.2012.6404467

M3 - Conference contribution

SN - 9781467344678

BT - 2012 IEEE 8th International Conference on E-Science, e-Science 2012

ER -

From scripts towards provenance inference

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