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Big graph analysis by visually created workflows

dc.contributor.authorRostami, M. Ali
dc.contributor.authorPeukert, Eric
dc.contributor.authorWilke, Moritz
dc.contributor.authorRahm, Erhard
dc.contributor.editorGrust, Torsten
dc.contributor.editorNaumann, Felix
dc.contributor.editorBöhm, Alexander
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorHärder, Theo
dc.contributor.editorRahm, Erhard
dc.contributor.editorHeuer, Andreas
dc.contributor.editorKlettke, Meike
dc.contributor.editorMeyer, Holger
dc.date.accessioned2019-04-11T07:21:36Z
dc.date.available2019-04-11T07:21:36Z
dc.date.issued2019
dc.description.abstractThe analysis of large graphs has received considerable attention recently but current solutions are typically hard to use. In this demonstration paper, we report on an effort to improve the usability of the open-source system Gradoop for processing and analyzing large graphs. This is achieved by integrating Gradoop into the popular open-source software KNIME to visually create graph analysis workflows, without the need for coding. We outline the integration approach and discuss what will be demonstrated.en
dc.identifier.doi10.18420/btw2019-45
dc.identifier.isbn978-3-88579-683-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21732
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBTW 2019
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) – Proceedings, Volume P-289
dc.subjectGraph analysis
dc.subjectWorkflow
dc.subjectGradoop
dc.subjectKNIME
dc.subjectVisualization
dc.titleBig graph analysis by visually created workflowsen
gi.citation.endPage563
gi.citation.startPage559
gi.conference.date4.-8. März 2019
gi.conference.locationRostock
gi.conference.sessiontitleDemonstrationen

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