By Topic

Towards a Taxonomy of Provenance in Scientific Workflow Management Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Sérgio Manuel Serra da Cruz ; PESC/COPPE, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil ; Maria Luiza M. Campos ; Marta Mattoso

Scientific workflow management systems (SWfMS) have been helping scientists to prototype and execute in silico experiments. They can systematically collect provenance information for the derived data products to be later queried. Despite the efforts on building a standard open provenance model (OPM), provenance is tightly coupled to SWfMS. Thus scientific workflow provenance concepts, representation and mechanisms are very heterogeneous, difficult to integrate and dependent on the SWfMS. To help comparing, integrating and analyzing scientific workflow provenance, this paper presents a taxonomy about provenance characteristics. Its classification enables computer scientists to distinguish between different perspectives of provenance and guide to a better understanding of provenance data in general. The analysis of existing approaches will assist us in managing provenance data from distributed heterogeneous workflow executions.

Published in:

2009 Congress on Services - I

Date of Conference:

6-10 July 2009