Querying and Managing Provenance through User Views in Scientific workflow. Biton, O, Davidson, B, S., Boulakia, Cohen, S, Hara, & S, C 2008. Paper doi abstract bibtex Workflow systems have become increasingly popular for managing experiments where many bioinformatics tasks are chained together. Due to the large amount of data generated by these experiments and the need for reproducible results, provenance has become of paramount importance. Workflow systems are therefore starting to provide support for querying provenance. However, the amount of provenance information may be overwhelming, so there is a need for abstraction mechanisms to help users focus on the most relevant information. The technique we pursue is that of "user views". Since bioinformatics tasks may themselves be complex sub-workflow, a user view determines what level of sub-workflow the user can see, and thus what data and tasks are visible in provenance queries. In this paper, we formalize the notion of user views, demonstrate how they can be used in provenance queries, and give an algorithm for generating a user view based on which tasks are relevant for the user. We then describe our prototype and give performance results. Although presented in the context of scientific workflow, the technique applies to other data-oriented workflow.
@misc{ DBLP:conf/icde/BitonBDH08,
author = {Biton, O and Davidson, Susan B and Boulakia, S Cohen and Hara, C
S},
title = {{Querying and Managing Provenance through User Views in Scientific
workflow}},
year = {2008},
abstract = {Workflow systems have become increasingly popular for managing experiments
where many bioinformatics tasks are chained together. Due to the
large amount of data generated by these experiments and the need
for reproducible results, provenance has become of paramount importance.
Workflow systems are therefore starting to provide support for querying
provenance. However, the amount of provenance information may be
overwhelming, so there is a need for abstraction mechanisms to help
users focus on the most relevant information. The technique we pursue
is that of "user views". Since bioinformatics tasks may themselves
be complex sub-workflow, a user view determines what level of sub-workflow
the user can see, and thus what data and tasks are visible in provenance
queries. In this paper, we formalize the notion of user views, demonstrate
how they can be used in provenance queries, and give an algorithm
for generating a user view based on which tasks are relevant for
the user. We then describe our prototype and give performance results.
Although presented in the context of scientific workflow, the technique
applies to other data-oriented workflow.},
booktitle = {Procs. ICDE},
doi = {http://dx.doi.org/10.1109/ICDE.2008.4497516},
file = {:C$\backslash$:/Users/Dani/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Biton et al. - 2008 - Querying and Managing Provenance through User Views in Scientific workflow.pdf:pdf},
keywords = {#understanding,#access,#disease_outbreak,#management,#provenance,#use,#workflow},
mendeley-tags = {#understanding,#access,#disease_outbreak,#management,#provenance,#use,#workflow},
pages = {1072--1081},
url = {http://dx.doi.org/10.1109/ICDE.2008.4497516}
}
Downloads: 0
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Since bioinformatics tasks may themselves be complex sub-workflow, a user view determines what level of sub-workflow the user can see, and thus what data and tasks are visible in provenance queries. In this paper, we formalize the notion of user views, demonstrate how they can be used in provenance queries, and give an algorithm for generating a user view based on which tasks are relevant for the user. We then describe our prototype and give performance results. 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