A Semantic Platform of Support Decision to Manage Dengue Epidemics

Author

Dias, T. ; Pinheiro, Wallace ; Salles, Ronaldo

Author_Institution

Lab. de Comando e Controle, Inst. Mil. de Eng., Rio de Janeiro, Brazil

fYear

2013

fDate

8-11 Sept. 2013

Firstpage

687

Lastpage

692

Abstract

This article presents the experience in the development of a semantic platform for decision support based on the DOODA cycle that aims to help dengue epidemics control. We discuss the formal representation of data as type of dengue, hydration tents and relief efforts classified in epidemiology, infrastructure and civil defense domains on an ontology that associated with a reasoner and a map engine, provides an overview of the epidemic and geolocalised actions that must be performed on each affected region. We conclude by presenting the results of simulations with data from the epidemic occurred in Rio de Janeiro in 2008.

Keywords

diseases; epidemics; medical computing; ontologies (artificial intelligence); semantic networks; DOODA cycle; civil defense domains; data formal representation; decision support; dengue epidemics control; dengue epidemics management; dengue type; dynamic-observe-orient-decide-act; epidemic actions; epidemiology; geolocalised actions; hydration tents; infrastructure; map engine; ontology; reasoner; relief efforts; semantic platform development; Data mining; Diseases; Engines; OWL; Ontologies; Planning; Semantics; DOODA Cycle; Dengue; Epidemics; Google maps; Map Engine; Ontology; Support Decision;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on

Conference_Location

Ipojuca

Type

conf

DOI

10.1109/BRICS-CCI-CBIC.2013.120

Filename

6855929