An abundance of geospatial datasets is available. However, most are not yet accessible via the semantic web. The geospatial knowledge graph could be a linked network of the available geo-information from these datasets. In the Netherlands, many of these datasets conform to the NEN 3610 standard, containing the base model for geo-information. This standard uses UML for the visual presentation of the data model and XML, derived by an MDA driven process, for the exchange of data. In a combined effort by a number of organizations in the Netherlands, we have formulated the upper ontology for geospatial features, that will actually be part of the NEN3610 standard. As such, it should become the upper ontology for Linked Geospatial datasets in the Netherlands. As part of this effort, general transformation rules have been defined to transform a UML model to its RDF counterpart, using RDF, SKOS, OWL and SHACL, taking into account existing related efforts on this subject. With these basic building-blocks, a geospatial knowledge graph was created to show the added value of linked geodata, while simultaneously demonstrating that it is feasible to reuse the large body of geospatial datasets to create data-on-the-web.
NEN 3610 Semantics.pdf
Msc
Ordina
https://www.ordina.com/en/
Marco Brattinga MSc is Ordina’s principal expert for intelligent data-driven organizations. Marco studied Information Technology at the University of Twente. He has more than 15 years of experience as an IT architect and consultant in the public sector.
Information Architect
Pano Maria is specialized in information modeling and architecture, and has a keen interest in standards based semantic technologies. The recent uptake of these technologies in various industries is an exciting development that Pano actively follows and participates in, for example through several W3C groups.
