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Authors: Bernardo Todesco ; Bruno Blume ; Airton Zancanaro ; José Leomar Todesco and Fernando Gauthier

Affiliation: Universidade Federal de Santa Catarina, Brazil

ISBN: 978-989-8565-81-5

Keyword(s): Linked Open Government Data, Transparency, Bibliometry, Semantic Web, Open Government.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; e-Business ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Semantic Web ; Soft Computing ; Symbolic Systems

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.

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Paper citation in several formats:
Todesco, B.; Blume, B.; Zancanaro, A.; Todesco, J.; 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

@conference{keod13,
author={Bernardo Todesco. and Bruno Blume. and Airton Zancanaro. and José Leomar Todesco. 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},
}

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 - Todesco, J.
AU - Gauthier, F.
PY - 2013
SP - 278
EP - 285
DO - 10.5220/0004548402780285

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