A Semantic Platform of Support Decision to Manage Dengue Epidemics

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.