Ontology-Driven Map Generalization - School of Computing and Information Science

Published: Jan 1, 2005 Author(s): Duckham, Matt, Egenhofer, Max J., Kulik, Lars Abstract: Different users of geospatial information have different requirements of that information. Matching information to users’ requirements demands an understanding of the ontological aspects of geospatial data. In this paper, we present an ontology-driven map generalization algorithm, called DMin, that can be tailored to particular users and read more