%0 Conference Paper
%A Holl, Sonja
%A Garijo, Daniel
%A Belhajjame, Khalid
%A Zimmermann, Olav
%A De Giovanni, Renato
%A Obst, Matthias
%A Goble, Carole
%T On specifying and sharing scientific workflow optimization results using research objects
%I ACM Press             New York, New York, USA
%M FZJ-2015-06718
%P 28-37
%D 2013
%< Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science - WORKS '13 - ACM Press             New York, New York, USA, 2013. - ISBN 9781450325028 - doi:10.1145/2534248.2534251
%X Reusing and repurposing scientific workflows for novel scientific experiments is nowadays facilitated by workflow repositories. Such repositories allow scientists to find existing workflows and re-execute them. However, workflow input parameters often need to be adjusted to the research problem at hand. Adapting these parameters may become a daunting task due to the infinite combinations of their values in a wide range of applications. Thus, a scientist may preferably use an automated optimization mechanism to adjust the workflow set-up and improve the result. Currently, automated optimizations must be started from scratch as optimization meta-data are not stored together with workflow provenance data. This important meta-data is lost and can neither be reused nor assessed by other researchers. In this paper we present a novel approach to capture optimization meta-data by extending the Research Object model and reusing the W3C standards. We validate our proposal through a real-world use case taken from the biodivertsity domain, and discuss the exploitation of our solution in the context of existing e-Science infrastructures.
%B 8th Workshop on Workflows in Support of Large-Scale Science
%C 17 Nov 2013 - 17 Nov 2013, Denver (Colorado)
Y2 17 Nov 2013 - 17 Nov 2013
M2 Denver, Colorado
%F PUB:(DE-HGF)8
%9 Contribution to a conference proceedings
%R 10.1145/2534248.2534251
%U https://juser.fz-juelich.de/record/276255