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dc.contributor.authorAbicht, Konrad
dc.contributor.authorAlkhouri, Georges
dc.contributor.authorArndt, Natanael
dc.contributor.authorMeissner, Roy
dc.contributor.authorMartin, Michael
dc.contributor.editorEibl, Maximilian
dc.contributor.editorGaedke, Martin
dc.date.accessioned2017-08-28T23:47:27Z
dc.date.available2017-08-28T23:47:27Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-669-5
dc.identifier.issn1617-5468
dc.description.abstractIn this paper we present CubeViz.js, the successor of CubeViz, as an approach for lightweight visualization and exploration of statistical data using the RDF Data Cube vocabulary. In several use cases, such as the European Unions Open Data Portal, in which we deployed CubeViz, we were able to gather various requirements that eventually led to the decision of reimplementing CubeViz as JavaScript-only application. As part of this paper we showcase major functionalities of CubeViz.js and its improvements in comparison to the prior version.en
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-275
dc.subjectStatistics
dc.subjectExploration
dc.subjectLinked Data
dc.subjectVisualization
dc.titleCubeViz.js: A Lightweight Framework for Discovering and Visualizing RDF Data Cubesen
mci.reference.pages1915-1921
mci.conference.sessiontitleLEDSPLaY17
mci.conference.locationChemnitz
mci.conference.date25.-29. September 2017
dc.identifier.doi10.18420/in2017_191
dc.title.subtitleA Lightweight Framework for Discovering and Visualizing RDF Data Cubesen


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