Submitted by Luis Ricardo Andrade da Silva (lrasilva@uefs.br) on 2016-03-01T21:58:16Z No. of bitstreams: 1 disserta??o.pdf: 1075417 bytes, checksum: 1ac0911a0f45578306a02c8eae7a090f (MD5) / Made available in DSpace on 2016-03-01T21:58:16Z (GMT). No. of bitstreams: 1 disserta??o.pdf: 1075417 bytes, checksum: 1ac0911a0f45578306a02c8eae7a090f (MD5) Previous issue date: 2015-12-17 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES / With the popularity of devices that are able to annotate data with spatial information (latitude and longitude), the processing of spatial queries has received a lot of attention from the research community recently. In this dissertation, we study a new query type named Top-k Spatial Keyword Preference Query that selects objects of interest based on the textual relevance of other spatio-textual objects in their spatial neighborhood. This work introduces this new query type, presents three algorithms for processing the query efficiently and performs an experimental evaluation using real databases to study the performance of the proposed algorithms. / Com a popularidade de dispositivos capazes de anotar dados com coordenadas espaciais (latitude e longitude), o processamento de consultas espaciais tem recebido bastante aten??o da comunidade cient?fica recentemente. Esta disserta??o apresenta uma nova consulta, chamada Consulta Espacial Preferencial por Palavra-chave, que seleciona objetos de interesse de acordo com a relev?ncia textual de outros objetos espa?o-textuais presentes na sua vizinhan?a espacial. Este trabalho introduz esta nova consulta, apresenta tr?s algoritmos para process?-la de forma eficiente e avalia o desempenho dos algoritmos propostos atrav?s de um estudo experimental, utilizando bases de dados reais.