Motor de busca para integração de dados sobre saúde na web

• Ano de defesa: 2019
• Autor(a) principal: Domingues, Arthur Scardini
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal Rural do Semi-Árido; Brasil; Centro de Ciências Exatas e Naturais - CCEN; UFERSA; Programa de Pós-Graduação em Ciência da Computação
• Palavras-chave em Português: Saúde; Motor de Busca; Integração; Base de Dados; Ontologia; Health; Search Engine; Database; Ontology; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufersa.edu.br/handle/prefix/5381

The search for health information has become an increasingly recurrent activity in the daily lives of the population. Through this search, it is possible for the individual to understand about their current state of health and consequently to obtain an improvement in quality of life. Currently, the most used media information search is the internet. The Internet makes possible the extension of this knowledge due to the large amount of information available, but in contrast to this large amount of content, there is inadequate or incomplete information. Search engines can help provide quality content because they are tools designed to seek information according to criteria set by users. For this, it is necessary that the engine should inserted in a domain where the sources that make the information available are reliable repositories, that is, with a high index of credibility. This paper proposes the creation of a search service on health data on the web. The present work presents the creation of a search service on health data on the web. The purpose of the service is to provide information from medical databases for health computing applications. The service makes use of an ontology for content classification. The ontology functions as a filter for the large amount of data retrieved by the engine in order to provide only relevant information to the search context.