{"title":"支持决策管理登革热流行的语义平台","authors":"Thiago Dias, Wallace A. Pinheiro, R. Salles","doi":"10.1109/BRICS-CCI-CBIC.2013.120","DOIUrl":null,"url":null,"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.","PeriodicalId":306195,"journal":{"name":"2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Semantic Platform of Support Decision to Manage Dengue Epidemics\",\"authors\":\"Thiago Dias, Wallace A. Pinheiro, R. Salles\",\"doi\":\"10.1109/BRICS-CCI-CBIC.2013.120\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":306195,\"journal\":{\"name\":\"2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BRICS-CCI-CBIC.2013.120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BRICS-CCI-CBIC.2013.120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Semantic Platform of Support Decision to Manage Dengue Epidemics
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.
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