Cartographic generalization as a combination of representing and abstracting knowledge

Abstract

This article shows that cartographic generalization is best viewed as representing (formulating, renaming) knowledge and abstracting (simplifying) a given representation.The general process of creating maps is shown to fit an abstraction framework developed in Artificial Intelligence to emphasize the difference between abstraction and representation.The utility of the framework lies in its efficiency to help automating knowledge acquisition for cartographic generalization as a combined acquisition of knowledge for abstraction and knowledge for changing a representation.

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