Authors:
Bernardo Todesco
;
Bruno Blume
;
Airton Zancanaro
;
José Leomar Todesco
and
Fernando Gauthier
Affiliation:
Universidade Federal de Santa Catarina, Brazil
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.