A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Models for Space Unite! The Need and Opportunities for Domain-transcendent Modelling of Spatial Data (short paper)
2021
Extended Semantic Web Conference
This position paper makes a case for a unified way of representing spatial information. For spatial data it should not matter from which knowledge domain they originate. Whether data come from GIS (Geographic Information Systems), CAD (Computer Aided Design), CG (Computer Graphics), the Web, or any other present or future domain in which data have some kind of spatial characteristic, they share common ground. Space is a fundamental aspect of the real world, and making it so in the models that
dblp:conf/esws/Knibbe21
fatcat:v6x5fplg75cvzcg6k6h7un64x4