Methods & tools for publishing & reusing linked open statistical data

Efthimios Tambouris; Evangelos Kalampokis; Marijn Janssen; Robert Krimmer; Konstantinos Tarabanis

doi:10.1145/3085228.3085234

Methods & tools for publishing & reusing linked open statistical data

Efthimios Tambouris, Evangelos Kalampokis, Marijn Janssen, Robert Krimmer, Konstantinos Tarabanis

Information and Communication Technology

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government
Publisher	Association for Computing Machinery (ACM)
Pages	614-615
Number of pages	2
Volume	Part F128275
ISBN (Electronic)	9781450353175
DOIs	https://doi.org/10.1145/3085228.3085234
Publication status	Published - 2017
Event	18th Annual International Conference on Digital Government Research, DG.O 2017 - Staten Island, United States Duration: 7 Jun 2017 → 9 Jun 2017

Conference

Conference	18th Annual International Conference on Digital Government Research, DG.O 2017
Country/Territory	United States
City	Staten Island
Period	7/06/17 → 9/06/17

Keywords

Ict tools
Linked open data
Linked open statistics

Access to Document

10.1145/3085228.3085234

p614-TambourisFinal published version, 387 KB

Cite this

Tambouris, E., Kalampokis, E., Janssen, M., Krimmer, R., & Tarabanis, K. (2017). Methods & tools for publishing & reusing linked open statistical data. In Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government (Vol. Part F128275, pp. 614-615). Association for Computing Machinery (ACM). https://doi.org/10.1145/3085228.3085234

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author = "Efthimios Tambouris and Evangelos Kalampokis and Marijn Janssen and Robert Krimmer and Konstantinos Tarabanis",

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language = "English",

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Tambouris, E, Kalampokis, E, Janssen, M, Krimmer, R & Tarabanis, K 2017, Methods & tools for publishing & reusing linked open statistical data. in Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. vol. Part F128275, Association for Computing Machinery (ACM), pp. 614-615, 18th Annual International Conference on Digital Government Research, DG.O 2017, Staten Island, United States, 7/06/17. https://doi.org/10.1145/3085228.3085234

Methods & tools for publishing & reusing linked open statistical data. / Tambouris, Efthimios; Kalampokis, Evangelos; Janssen, Marijn et al.
Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. Vol. Part F128275 Association for Computing Machinery (ACM), 2017. p. 614-615.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Tambouris E, Kalampokis E, Janssen M, Krimmer R, Tarabanis K. Methods & tools for publishing & reusing linked open statistical data. In Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. Vol. Part F128275. Association for Computing Machinery (ACM). 2017. p. 614-615 doi: 10.1145/3085228.3085234

Methods & tools for publishing & reusing linked open statistical data

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