Thesis and Dissertation Workshop (WTDBD)
Data Warehouse de Imagens, Consultas por Similaridade, Consultas OLAP, Índices
A data warehousing environment offers support to the decision making process. It consolidates data from distributed, autonomous and heterogeneous information sources into one of its main components, the data warehouse. Furthermore, it provides efficient processing of analytical queries (i.e. OLAP queries). A conventional data warehouse stores only alphanumeric data. On the other hand, an image data warehouse stores not only alphanumeric data but also intrinsic features of images, thus allowing non-conventional data warehousing environments to perform OLAP similarity queries over images. This requires the development of strategies to provide efficient processing of these complex and costly queries. In our master’s research, we focus on this issue. We are developing the ImageDW-index, an index strategy aimed at the efficient processing of analytical queries extended with image similarity predicates. Although there are a number of approaches in the literature that propose indices for data warehouses and indices for image data separately, to the best of our knowledge, there is not an approach that investigate these two issues in the same setting. Therefore, our master’s research aims to investigate this gap in the literature.
Jefferson William Teixeira, Cristina Dutra de Aguiar Ciferri