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dc.contributor.authorDey, Saumen
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorBelhajjame, Khalid
hal.structure.identifierNew York University
dc.contributor.authorKoop, David
hal.structure.identifier
dc.contributor.authorSong, Tianhong
hal.structure.identifierUniversity of Newcastle
dc.contributor.authorMissier, Paolo
hal.structure.identifier
dc.contributor.authorLudäscher, Bertram
dc.date.accessioned2016-09-23T17:55:19Z
dc.date.available2016-09-23T17:55:19Z
dc.date.issued2014
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/15838
dc.language.isoenen
dc.subjectProvenance precisionen
dc.subject.ddc004en
dc.titleUP & DOWN: Improving Provenance Precision by Combining Workflow- and Trace-Level Informationen
dc.typeCommunication / Conférence
dc.description.abstractenWorkflow-level provenance declarations can improve the precision of coarse provenance traces by reducing the number of “false” dependencies (not every output of a step depends on every input). Conversely, fine-grained execution provenance can be used to improve the precision of input-output dependencies of workflow actors. We present a new logic-based approach for improving provenance precision by combining downward and upward inference, i.e., from workflows to traces and vice versa.en
dc.subject.ddclabelInformatique généraleen
dc.relation.conftitle6th USENIX Workshop on the Theory and Practice of Provenance TaPP 2014en
dc.relation.confdate2014-06
dc.relation.confcityCologneen
dc.relation.confcountryGermanyen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2016-06-27T14:49:17Z
hal.identifierhal-01371090*
hal.version1*
hal.update.actionupdateFiles*
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