Querying and Managing Provenance through User Views in Scientific workflow. Biton, O, Davidson, B, S., Boulakia, Cohen, S, Hara, & S, C 2008.
Querying and Managing Provenance through User Views in Scientific workflow [link]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}
}

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