research-article

Visualizing Linked Open Statistical Data to Support Public Administration

Authors:

Efthimios Tambouris,

Evangelos Kalampokis,

Konstantinos TarabanisAuthors Info & Claims

dg.o '17: Proceedings of the 18th Annual International Conference on Digital Government Research

Pages 149 - 154

https://doi.org/10.1145/3085228.3085304

Published: 07 June 2017 Publication History

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Abstract

Open 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.

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Abida RBelghith ECleve A(2020)An End-to-End Framework for Integrating and Publishing Linked Open Government Data2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)10.1109/WETICE49692.2020.00057(257-262)Online publication date: Sep-2020
https://doi.org/10.1109/WETICE49692.2020.00057

Visualizing Linked Open Statistical Data to Support Public Administration
1. Applied computing
2. Information systems

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dg.o '17: Proceedings of the 18th Annual International Conference on Digital Government Research

June 2017

639 pages

ISBN:9781450353175

DOI:10.1145/3085228

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 07 June 2017

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dg.o '17: 18th Annual International Conference on Digital Government Research

June 7 - 9, 2017

NY, Staten Island, USA

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dg.o '17 Paper Acceptance Rate 66 of 114 submissions, 58%;

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Abida RBelghith ECleve A(2020)An End-to-End Framework for Integrating and Publishing Linked Open Government Data2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)10.1109/WETICE49692.2020.00057(257-262)Online publication date: Sep-2020
https://doi.org/10.1109/WETICE49692.2020.00057

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Methods and Tools for Publishing and Reusing Linked Open Statistical Data

Theory and practice of linked open statistical data

Using Linked Open Data for automating digital public administration reporting

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