Print Email Facebook Twitter Methods & tools for publishing & reusing linked open statistical data Title Methods & tools for publishing & reusing linked open statistical data Author Tambouris, Efthimios (University of Macedonia) Kalampokis, Evangelos (University of Macedonia) Janssen, M.F.W.H.A. (TU Delft Information and Communication Technology) Krimmer, Robert (Tallinn University of Technology) Tarabanis, Konstantinos (University of Macedonia) Date 2017 Abstract The number of open data available for reuse is rapidly increasing. A large number of these data are numerical thus can be easily visualized. Linked open data technology enables easy reuse and linking of data residing in di.erent locations. In this workshop, we will present a number of technologies and tools that are currently under development for visualizing linked open statistical data. We will demonstrate the use of these technologies and tools to visualize open data obtained from various European Union Member States ministries and other organizations. We will also give the workshop participants the opportunity to use these tools thus obtaining a personal experience on their capabilities. Subject Ict toolsLinked open dataLinked open statistics To reference this document use: http://resolver.tudelft.nl/uuid:a61303ef-d61a-4829-b4c7-4a48f7387b62 DOI https://doi.org/10.1145/3085228.3085234 Publisher Association for Computing Machinery (ACM) ISBN 9781450353175 Source Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government, Part F128275 Event 18th Annual International Conference on Digital Government Research, DG.O 2017, 2017-06-07 → 2017-06-09, Staten Island, United States Part of collection Institutional Repository Document type conference paper Rights © 2017 Efthimios Tambouris, Evangelos Kalampokis, M.F.W.H.A. Janssen, Robert Krimmer, Konstantinos Tarabanis Files PDF p614_Tambouris.pdf 474.93 KB Close viewer /islandora/object/uuid:a61303ef-d61a-4829-b4c7-4a48f7387b62/datastream/OBJ/view