Knowledge discovery in databases is a process that aims at the discovery of associations
within data sets. The analysis of geo-referenced data demands a particular approach
in this process. This chapter presents a new approach to the process of knowledge
discovery, in which qualitative geographic identifiers give the positional aspects of
geographic data. Those identifiers are manipulated using qualitative reasoning
principles, which allows for the inference of new spatial relations required for the data
mining step of the knowledge discovery process. The efficacy and usefulness of the
implemented system — PADRÃO — has been tested with a bank dataset. The results
obtained support that traditional knowledge discovery systems, developed for
relational databases and not having semantic knowledge linked to spatial data, can
be used in the process of knowledge discovery in geo-referenced databases, since some
of this semantic knowledge and the principles of qualitative spatial reasoning are
available as spatial domain knowledge