abstract

Methods and Tools for Publishing and Reusing Linked Open Statistical Data

Authors:

Efthimios Tambouris,

Evangelos Kalampokis,

Marijn Janssen,

Robert Krimmer,

Konstantinos TarabanisAuthors Info & Claims

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

Pages 614 - 615

https://doi.org/10.1145/3085228.3085234

Published: 07 June 2017 Publication History

Get Access

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 different 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.

References

[1]

Kalampokis E, Tambouris E, and Tarabanis K. 2016. ICT Tools for Creating, Expanding, and Exploiting Statistical Linked Open Data. Statistical Journal of the IAOS Preprint (2016), 1--12.

Google Scholar

[2]

Kalampokis E, Tambouris E, and Tarabanis K. 2016. Linked Open Cube Analytics Systems: Potential and Challenges. IEEE Intelligent Systems 31, 5 (2016), 89--92.

Google Scholar

[3]

Janssen M, Charalabidis Y, and Zuiderwijk A. 2012. Benefits, adoption barriers and myths of open data and open government. Inf. Syst. Manag 29, 4 (2012), 258fi?!--268.

Crossref

Google Scholar

[4]

Cyganiak R and Reynolds D. 2014. The RDF data cube vocabulary: W3C recommendation. W3C Tech. Rep. (January 2014).

Google Scholar

Methods and Tools for Publishing and Reusing Linked Open Statistical Data
1. Information systems

Recommendations

Visualizing Linked Open Statistical Data to Support Public Administration
dg.o '17: Proceedings of the 18th Annual International Conference on Digital Government Research

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 ...
Theory and practice of linked open statistical data
dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

The number of Open Statistical Data available for reuse is rapidly increasing. Linked open data technology enables easy reuse and linking of data residing in different locations in a simple and straightforward manner. Yet, many people are not familiar ...
An Investigative Study on the Quality Aspects of Linked Open Data
CCIOT '18: Proceedings of the 2018 International Conference on Cloud Computing and Internet of Things

Linked Open Data refers to a set of best practices that empowers enterprises to publish and interlink their data using existing ontologies on the Semantic Web. The focus of linked open data is to move from document-based Web to a Web of interlinked data,...

Comments

Information & Contributors

Information

Published In

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 part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

IOS Press: IOS Press
Digital Government Society of North America

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 June 2017

Check for updates

Author Tags

Qualifiers

Abstract
Research
Refereed limited

Conference

dg.o '17

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

June 7 - 9, 2017

NY, Staten Island, USA

Acceptance Rates

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

Overall Acceptance Rate 150 of 271 submissions, 55%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
117
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 06 Oct 2024

Other Metrics

View Author Metrics

Citations

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Recommendations

Visualizing Linked Open Statistical Data to Support Public Administration

Theory and practice of linked open statistical data

An Investigative Study on the Quality Aspects of Linked Open Data

Comments

Published In

In-Cooperation

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Login options

Full Access

PDF

eReader

Abstract

References

Recommendations

Visualizing Linked Open Statistical Data to Support Public Administration

Theory and practice of linked open statistical data

An Investigative Study on the Quality Aspects of Linked Open Data

Comments

Information

Published In

In-Cooperation

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations