Theory and practice of linked open statistical data
Authors: 
Efthimios Tambouris, Evangelos Kalampokis, 
Marijn Janssen, 
Ricardo Matheus, Paul Hermans, Tarmo KalvetAuthors Info & Claims
Article No.: 130, Pages 1 - 2
Abstract
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 with the technology standards and tools for making use of open statistical data. In this tutorial, we will introduce Linked Open Statistical Data (LOSD) and demonstrate the use of LOSD technologies and tools to visualize open data obtained from various European Countries. We will also give the participants the opportunity to use these tools thus obtaining a personal experience on their capabilities.
References
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Bizer C, Heath T, and Berners-Lee T. 2009. Linked data-the story so far. Semantic Services, Interoperability and Web Applications: Emerging Concepts (2009), 205--227.
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Kalampokis E, Tambouris E, Karamanou A, and Tarabanis K. 2016. Open Statistics: The Rise of a New Era for Open Data?. In 15th Annual International IFIP Electronic Government Conference (EGOV). Springer, 31--43.
[3]
Kalampokis E, Tambouris E, and Tarabanis K. 2016. Linked Open Cube Analytics Systems: Potential and Challenges. IEEE Intelligent Systems 31, 5 (2016), 89--92.
[4]
Kalampokis E, Tambouris E, and Tarabanis K. 2017. ICT Tools for Creating, Expanding, and Exploiting Statistical Linked Open Data. Statistical Journal of the IAOS 33, 2 (2017), 503--514.
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Hassani H, Saporta G, and Silva E S. 2014. Benefits, adoption barriers and myths of open data and open government. Data Mining and Official Statistics: The Past, the Present, and the Future 2, 1 (2014), 31--43.
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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), 258--268.
Index Terms
- Theory and practice of linked open statistical data
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Information
Published In
May 2018
889 pages
ISBN:9781450365260
DOI:10.1145/3209281
- Conference Chairs:
- Marijn Janssen,
- Soon Ae Chun,
- Vishanth Weerakkody,
- Editors:
- Anneke Zuiderwijk,
- Charles C. Hinnant
Copyright © 2018 Owner/Author.
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.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 May 2018
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- European Commission
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dg.o '18
dg.o '18: 19th Annual International Conference on Digital Government Research
May 30 - June 1, 2018
Delft, The Netherlands
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Overall Acceptance Rate 150 of 271 submissions, 55%
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