Work

Cartographic generalization as a combination of representing and abstracting knowledge

Year: 1999

Type: conference-paper

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.

Source: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS)

DOI: 10.1145/320134.320174

Authors: Sébastien Mustière, Jean-Daniel Zucker, Lorenza Saitta

Institutions: Institut national de l’information géographique et forestière, Centre National de la Recherche Scientifique, LIP6, Università degli Studi del Piemonte Orientale “Amedeo Avogadro”

Language: English

Topic: Geographic Information Systems Studies

Subfield: Geography, Planning and Development

Field: Social Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W1995797287

FWCI: 1.741

Cites: 4

Cited by: 5

Related to: 10