Cassiopeia: A model based on summarization and clusterization used for knowledge discovery in textual bases

This work proposes the creation of a model called Cassiopeia, whose aim is to allow for knowledge discovery in textual bases in distinct and/or antagonic domains by using a process of summarization and clusterization to obtain these pieces of knowledge. By proposing the Cassiopeia model, we hope to obtain a better cohesion of the clusters and to make feasible the issue of high dimensionality in knowledge discovery in textual bases.