ToPI - uma abordagem online para identificar locais de interesse utilizando fotografias geo-referenciadas

• Ano de defesa: 2016
• Autor(a) principal: Ponciano, Jean Roberto
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; Brasil; Programa de Pós-graduação em Ciência da Computação
• Palavras-chave em Português: Computação; Banco de dados; Fotografias; Turismo; Identificação de locais turísticos; Contexto dinâmico; Locais de interesse; Informações geo-referenciadas; Tourism; Identification of tourist places; Dynamic context; Places of interest; Photographs; Geo-tagged data; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufu.br/handle/123456789/17640; http://doi.org/10.14393/ufu.di.2016.300

Due to the growing use of social networks people no longer just consume data, they also produce and share it. Geo-tagged information, i.e., data with geographical location, have been used in many attempts to identify popular places and help tourists that will visit unfamiliar cities. This Master Thesis presents an online strategy that uses geo-tagged photos and their metadata in order to identify places of interest inside a given geographical area and retrieve relevant related information. The whole process runs automatically in real time, returning updated information about places. The proposed strategy takes into account the inherent dynamism of social media, and thus is robust under inconsistencies and/or outdated information, a common issue in solutions that rely on previously stored data. The analysis of the results showed that our approach is very promising, returning places that present high agreement with those from a popular travel website.