A design of semantics filter using the inductive learning algorithm for GIS

We propose a semantics filter aimed at filtering unnecessary data for a user. In the Geographic Information Systems (GIS), the transfer of spatial data for each user is one of the important problems. We design a system that filters spatial data by using user´s information adoptively. Our system derives the degree of geographical knowledge by the fuzzy reasoning and decides the priority of buildings by the C4.5 using user´s information. Furthermore, in the process of the priority of buildings, we determine also the priority from geometrical and topological information. This paper describes a method for determining the priority of buildings.