Models for Space Unite! The Need and Opportunities for Domain-transcendent Modelling of Spatial Data (short paper)

Frans Knibbe
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
more » ... vern the digital world will yield an invaluable reward: system interoperability through data harmonisation. Globalisation, the increasing need for interdisciplinary cooperation and an increasing demand for transparency are some of the developments that fuel ongoing research and development in the fields of Semantic Web, Linked Data and graph-based data. This kind of progress -opening up and defragmentation of information -would be well served by a process of integration of disparate models for spatial information. The current work on updating GeoSPARQL could be a fitting starting point.
dblp:conf/esws/Knibbe21 fatcat:v6x5fplg75cvzcg6k6h7un64x4