Title
On specifying and sharing scientific workflow optimization results using research objects
Abstract
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.
Year
DOI
Venue
2013
10.1145/2534248.2534251
WORKS@SC
Keywords
Field
DocType
workflow input parameter,research object,workflow set-up,scientific workflow optimization result,optimization meta-data,important meta-data,automated optimization mechanism,workflow provenance data,novel scientific experiment,workflow repository,novel approach,automated optimizations,ontology,optimization
Ontology,Workflow technology,Repurposing,Computer science,Web standards,Windows Workflow Foundation,Workflow engine,Workflow management system,Workflow,Database
Conference
Citations 
PageRank 
References 
2
0.38
9
Authors
7
Name
Order
Citations
PageRank
Sonja Holl1605.88
Daniel Garijo224430.87
Khalid Belhajjame388265.03
Olav Zimmermann4314.88
Renato Giovanni5485.35
Matthias Obst620.38
Carole Goble77252788.90