000276255 001__ 276255
000276255 005__ 20210129220827.0
000276255 0247_ $$2doi$$a10.1145/2534248.2534251
000276255 037__ $$aFZJ-2015-06718
000276255 041__ $$aEnglish
000276255 1001_ $$0P:(DE-Juel1)132139$$aHoll, Sonja$$b0$$eCorresponding author$$ufzj
000276255 1112_ $$a8th Workshop on Workflows in Support of Large-Scale Science$$cDenver$$d2013-11-17 - 2013-11-17$$gWORKS 2013$$wColorado
000276255 245__ $$aOn specifying and sharing scientific workflow optimization results using research objects
000276255 260__ $$bACM Press New York, New York, USA$$c2013
000276255 29510 $$aProceedings 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
000276255 300__ $$a28-37
000276255 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1448364502_32101
000276255 3367_ $$033$$2EndNote$$aConference Paper
000276255 3367_ $$2ORCID$$aCONFERENCE_PAPER
000276255 3367_ $$2DataCite$$aOutput Types/Conference Paper
000276255 3367_ $$2DRIVER$$aconferenceObject
000276255 3367_ $$2BibTeX$$aINPROCEEDINGS
000276255 520__ $$aReusing and repurposing scientific workflows for novel scientific experiments is nowadays facilitated by workflow repositories. Such repositories allow scientists to find existing workflows and re-execute them. However, workflow input parameters often need to be adjusted to the research problem at hand. Adapting these parameters may become a daunting task due to the infinite combinations of their values in a wide range of applications. Thus, a scientist may preferably use an automated optimization mechanism to adjust the workflow set-up and improve the result. Currently, automated optimizations must be started from scratch as optimization meta-data are not stored together with workflow provenance data. This important meta-data is lost and can neither be reused nor assessed by other researchers. In this paper we present a novel approach to capture optimization meta-data by extending the Research Object model and reusing the W3C standards. We validate our proposal through a real-world use case taken from the biodivertsity domain, and discuss the exploitation of our solution in the context of existing e-Science infrastructures.
000276255 536__ $$0G:(DE-HGF)POF3-899$$a899 - ohne Topic (POF3-899)$$cPOF3-899$$fPOF III$$x0
000276255 588__ $$aDataset connected to CrossRef Conference
000276255 7001_ $$0P:(DE-HGF)0$$aGarijo, Daniel$$b1
000276255 7001_ $$0P:(DE-HGF)0$$aBelhajjame, Khalid$$b2
000276255 7001_ $$0P:(DE-Juel1)132307$$aZimmermann, Olav$$b3$$ufzj
000276255 7001_ $$0P:(DE-HGF)0$$aDe Giovanni, Renato$$b4
000276255 7001_ $$0P:(DE-HGF)0$$aObst, Matthias$$b5
000276255 7001_ $$0P:(DE-HGF)0$$aGoble, Carole$$b6
000276255 773__ $$a10.1145/2534248.2534251
000276255 909CO $$ooai:juser.fz-juelich.de:276255$$pVDB
000276255 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132139$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000276255 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132307$$aForschungszentrum Jülich GmbH$$b3$$kFZJ
000276255 9131_ $$0G:(DE-HGF)POF3-899$$1G:(DE-HGF)POF3-890$$2G:(DE-HGF)POF3-800$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bProgrammungebundene Forschung$$lohne Programm$$vohne Topic$$x0
000276255 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000276255 980__ $$acontrib
000276255 980__ $$aVDB
000276255 980__ $$aI:(DE-Juel1)JSC-20090406
000276255 980__ $$aUNRESTRICTED