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dc.contributor.authorMarkovic, Milan
dc.contributor.authorGarijo, Daniel
dc.contributor.authorEdwards, Peter
dc.date.accessioned2019-12-19T09:35:01Z
dc.date.available2019-12-19T09:35:01Z
dc.date.issued2019-10-21
dc.identifier.citationMarkovic , M , Garijo , D & Edwards , P 2019 , Linking Abstract Plans of Scientific Experiments to their Corresponding Execution Traces . in Proceedings of the Third International Workshop on Capturing Scientific Knowledge (Sciknow 2019) . CEUR-WS , Third International Workshop on Capturing Scientific Knowledge (SciKnow 2019) , Los Angeles , California , United States , 19/11/19 . < https://sciknow.github.io/sciknow2019/papers/SciKnow_2019_paper_7.pdf >en
dc.identifier.citationworkshopen
dc.identifier.otherPURE: 148674720
dc.identifier.otherPURE UUID: dbb3e39c-2d07-47b5-ab0d-556493878105
dc.identifier.otherScopus: 85077818699
dc.identifier.urihttps://hdl.handle.net/2164/13408
dc.descriptionACKNOWLEDGMENTS The work described in this paper was funded by the award made by the RCUK Digital Economy programme to the University of Aberdeen (EP/N028074/1), a SICSAPECE travel award, the Defense Advanced Research Projects Agency with award W911NF-18-10027, the SIMPLEX program with award W911NF-15-1-0555 and from the National Institutes of Health under awards 1U01CA196387 and 1R01GM117097.en
dc.format.extent4
dc.language.isoeng
dc.publisherCEUR-WS
dc.relation.ispartofProceedings of the Third International Workshop on Capturing Scientific Knowledge (Sciknow 2019)en
dc.rightsCopyright ©2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).en
dc.subjectPlanen
dc.subjectScientific workflowsen
dc.subjectprovenanceen
dc.subjectabstractionsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectUK Research and Innovation (UKRI)en
dc.subjectDigital Economy programmeen
dc.subject(EP/N028074/1en
dc.subjectNational Institute for Health Research (NIHR)en
dc.subject1U01CA196387en
dc.subject1R01GM117097en
dc.subject.lccQA75en
dc.titleLinking Abstract Plans of Scientific Experiments to their Corresponding Execution Tracesen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Trusted Things and Communitiesen
dc.contributor.institutionUniversity of Aberdeen.NCS School Administrationen
dc.description.versionPublisher PDFen
dc.identifier.urlhttps://sciknow.github.io/sciknow2019/papers/SciKnow_2019_paper_7.pdfen


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