Author(s)

Maribel Santos & Luis Amaral

Abstract

Spatial data mining refers to the extraction of implicit knowledge, spatial relationships, or others interesting patterns not explicitly stored in spatial databases. Spatial databases like geographic databases in geographic information systems usually store large amounts of spatial information. Queries in these systems involve the derivation of different spatial relations that are not explicitly stored. Qualitative spatial reasoning has been proposed as a complementary mechanism for the automatic derivation of these relations. Qualitative spatial relations are specified using of a small set of symbols, like North, close, etc., and are manipulated through a set of inference rules. In this paper is presented a new approach to the process of knowledge discovery in spatial databases,

Keywords