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CubeViz.js: A Lightweight Framework for Discovering and Visualizing RDF Data Cubes

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.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.identifier.doi10.18420/in2017_191
dc.identifier.isbn978-3-88579-669-5
dc.identifier.pissn1617-5468
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
dc.title.subtitleA Lightweight Framework for Discovering and Visualizing RDF Data Cubesen
gi.citation.endPage1921
gi.citation.startPage1915
gi.conference.date25.-29. September 2017
gi.conference.locationChemnitz
gi.conference.sessiontitleLEDSPLaY17

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