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dc.contributor.authorAndrews, Keithen_US
dc.contributor.authorTraunmüller, Thomasen_US
dc.contributor.authorWolkinger, Thomasen_US
dc.contributor.authorGoldgruber, Evaen_US
dc.contributor.authorGutounig, Roberten_US
dc.contributor.authorAusserhofer, Julianen_US
dc.contributor.editorTobias Isenberg and Filip Sadloen_US
dc.date.accessioned2016-06-09T09:33:38Z
dc.date.available2016-06-09T09:33:38Z
dc.date.issued2016en_US
dc.identifier.isbn978-3-03868-015-4en_US
dc.identifier.issn-en_US
dc.identifier.urihttp://dx.doi.org/10.2312/eurp.20161150en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.description.abstractStatistical open data is usually provided only in the form of spreadsheets or CSV files. The developers of open data apps must either restrict themselves to managable bite-sized chunks of data, which can be consumed (read, parsed, and held in memory) in one go, or must install and maintain their own data server which the app can query on demand. The Styrian Diversity Visualisation (in German ''Steirische Vielfalt Visualisiert'' or SVV) project demonstrates the use of a dedicated data server (triple store) to host large amounts of statistical open data. The SVV web app queries the data server dynamically using SPARQL queries to obtain exactly the data required at that particular time, greatly simplifying its internal logic. There is no need to parse and store entire data sets in memory.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.5.2 [Information Interfaces and Presentation]en_US
dc.subjectUser Interfacesen_US
dc.subjectD.2.12 [Software Engineering]en_US
dc.subjectInteroperabilityen_US
dc.subjectData Mappingen_US
dc.titleStyrian Diversity Visualisation: Visualising Statistical Open Data with a LeanWeb App and Data Serveren_US
dc.description.seriesinformationEuroVis 2016 - Postersen_US
dc.description.sectionheadersPosteren_US
dc.identifier.doi10.2312/eurp.20161150en_US
dc.identifier.pages93-95en_US


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