Affiliations: [a] Instituto de Educação, Programa de Pós-graduação em Educação, UFMT, Avenida Fernando Corrêa da Costa, Cuiabá, MT, Brasil | [b] Instituto de Computação, UFMT, Avenida Fernando Corrêa da Costa, Cuiabá, MT, Brasil | [c] Instituto de Computação, UFF, Rua Passo da Pátria, Bloco E, Niterói, RJ, Brasil
Correspondence:
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Corresponding author: Cristiano Maciel, Instituto de Computação, UFMT, Avenida Fernando Corrêa da Costa, 2367, CEP 78060-900, Cuiabá, MT, Brasil. Tel.: +55 65 39158383; Fax: +55 65 39158383; E-mail:cmaciel@ufmt.br
Abstract: Publishing open government data and providing visualizations that favor the
quick understanding and interpretation of the associated information is a
task that requires systematization and the use of various technologies. Due
to technical limitations (dependence on technological platforms, for
example), this is not a standard practice among government system
developers. In this work, we present a case study that involves
the creation of a map to visualize information about the infestation of
Aedes aegypti (dengue vector) in the municipality of Cuiabá, based
on the selection and analysis of open data. This case study not only demonstrates
that offering an easy way for presenting information on public health brings
benefits to the community, but it also discusses a strategy for government
agencies publishing open data and creating visualizations that combine
information from various sources.
Keywords: Open government data, semantic web, linked data, data visualization
