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dc.contributor.authorTambouris, Efthimios-
dc.contributor.authorKalampokis, Evangelos-
dc.contributor.authorTarabanis, Konstantinos-
dc.description.abstractOpen data have tremendous potential which however remains unexploited. A large part of open data is numerical and highly structured. We concentrate on those data and capitalize on linked open data (LOD) as the underlying technology. In this paper, we present a number of tools to facilitate publishing and reusing of linked open statistical data. We propose an architecture and implementation that allows developing custom visualization and analysis tools without knowledge of LOD technologies. We further present work towards deploying relevant tools in six different countries to improve decision-making and transparency and thus support public administration.en_US
dc.subjectFRASCATI::Natural sciences::Computer and information sciencesen_US
dc.subject.otherLinked Open Dataen_US
dc.subject.otherLinked Open Statisticsen_US
dc.titleVisualizing Linked Open Statistical Data to Support Public Administrationen_US
dc.typeConference Paperen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volumetitleProceedings of the 18th Annual International Conference on Digital Government Research - dg.o '17en_US
Appears in Collections:Department of Applied Informatics

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