From Scripts Towards Provenance Inference

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

doi:10.1109/eScience.2012.6404467

From Scripts Towards Provenance Inference

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

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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.

Original language	English
Title of host publication	2012 IEEE 8th International Conference on eScience (eScience)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-8
Number of pages	8
ISBN (Print)	978-1-4673-4467-8
DOIs	https://doi.org/10.1109/eScience.2012.6404467
Publication status	Published - Oct 2012
Event	8th IEEE International Conference on e-Science 2012 - Chicago, United States Duration: 8 Oct 2012 → 12 Oct 2012 Conference number: 8

Conference

Conference	8th IEEE International Conference on e-Science 2012
Abbreviated title	e-Science
Country/Territory	United States
City	Chicago
Period	8/10/12 → 12/10/12

Keywords

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

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Cite this

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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.",

keywords = "EWI-22685, IR-83455, METIS-293245, Data Provenance, Inference, Workflow, Hydrology",

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

year = "2012",

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language = "English",

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note = "8th IEEE International Conference on e-Science 2012, e-Science ; Conference date: 08-10-2012 Through 12-10-2012",

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AU - van Beek, Ludovicus P.H.

AU - Wombacher, Andreas

N1 - Conference code: 8

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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.

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.

KW - EWI-22685

KW - IR-83455

KW - METIS-293245

KW - Data Provenance

KW - Inference

KW - Workflow

KW - Hydrology

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DO - 10.1109/eScience.2012.6404467

M3 - Conference contribution

SN - 978-1-4673-4467-8

SP - 1

EP - 8

BT - 2012 IEEE 8th International Conference on eScience (eScience)

PB - IEEE

CY - Piscataway, NJ

T2 - 8th IEEE International Conference on e-Science 2012

Y2 - 8 October 2012 through 12 October 2012

ER -

From Scripts Towards Provenance Inference

Abstract

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Keywords

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