Linked Open Government Data Research Panorama

Bernardo Todesco, Bruno Blume, Airton Zancanaro, José Leomar Todesco, Fernando Gauthier

Abstract

In order to increase transparency and civic participation, governments around the world sought ways to open their data and allow both to itself as to companies and the civil population a greater share in the maintenance, surveillance and optimization of the services provided. To this end, using a technology called linked data (LD), the data released by governments became easier to be understood and properly used by humans and machines alike, thus creating what today is called linked open government data (LOGD). The purpose of this article is to present the state of art of the research in LOGD through bibliometric research, ultimately presenting a feedback on the matter.

References

  1. Bizer, C. (2009). The emerging web of linked data. Intelligent Systems, IEEE, 87-92.
  2. Bizer, C., Heath, T., & Berners-Lee, T. (2009). Linked Data - The Story So Far. International Journal on Semantic Web and Information Systems, 5(3), 1-22.
  3. Brickley, D., & Guha, R. V. (2004). RDF Vocabulary Description Language 1.0: RDF Schema.
  4. Cerrillo-i-Martinez, A. (2012). Fundamental interests and open data for re-use. International Journal of Law and Information Technology, 20(3), 203-222.
  5. Davies, T. (2010). Open data, democracy and public sector reform: A look at open government data use from data. gov. uk, 1-47.
  6. Ding, L., Peristeras, V., & Hausenblas, M. (2012). Linked open government data. IEEE Intelligent Systems, 27(3), 11-15.
  7. Ferrer-Sapena, A., Peset, F., & Aleixandre-Benavent, R. (2011). Acceso a Los Datos Públicos y Su Reutilización: Open Data y Open Government. El Profesional de la Informacion, 20(3), 260-269.
  8. Francina, E., & Oliveira, T. De. (2011). Indicadores bibliométricos em ciência da informação?: análise dos pesquisadores mais produtivos no tema estudos métricos na base Scopus Bibliometric indicators in information science?: analysis of the most productive researchers about metric studies in th. Perspectivas em Ciência da Informação, 16(4), 16-28.
  9. Hendler, J. . J., Holm, J. . J., Musialek, C. . C., Thomas, G. . G., & Hendler J.a Holm, J. . M. C. . T. G. . (2012). US government linked open data: Semantic.data.gov. IEEE Intelligent Systems, 27(3), 25-31.
  10. Janssen, K. (2011). The influence of the PSI directive on open government data: An overview of recent developments. Government Information Quarterly, 28(4), 446-456.
  11. Kalampokis, E., Tambouris, E. . E., & Tarabanis, K. . K. (2011). A classification scheme for open government data: Towards linking decentralised data. International Journal of Web Engineering and Technology, 6(3), 266-285.
  12. Macias-chapula, C. A. (1998). O papel da informetria e da cienciometria e sua perspectiva nacional e. Ciência da Informação, 27(2), 134-140.
  13. Shadbolt, N., O'Hara, K., Berners-lee, T., Gibbins, N., Glaser, H., Hall, W., Schraefel, M. C., et al. (2012). Linked open government data: Lessons from data.gov.uk. IEEE Intelligent Systems, 27(3), 16-24.
  14. Vanti, N. A. P. (2002). Da bibliometria à webometria: uma exploração conceitual dos mecanismos utilizados para medir o registro da informação e a difusão do conhecimento. Ciência da Informação, 31(2), 369- 379.
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Paper Citation


in Harvard Style

Todesco B., Blume B., Zancanaro A., Todesco J. and Gauthier F. (2013). Linked Open Government Data Research Panorama . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 278-285. DOI: 10.5220/0004548402780285


in Bibtex Style

@conference{keod13,
author={Bernardo Todesco and Bruno Blume and Airton Zancanaro and José Leomar Todesco and Fernando Gauthier},
title={Linked Open Government Data Research Panorama},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
year={2013},
pages={278-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004548402780285},
isbn={978-989-8565-81-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)
TI - Linked Open Government Data Research Panorama
SN - 978-989-8565-81-5
AU - Todesco B.
AU - Blume B.
AU - Zancanaro A.
AU - Todesco J.
AU - Gauthier F.
PY - 2013
SP - 278
EP - 285
DO - 10.5220/0004548402780285