An Almost Decadal Update to the Most Important Geospatial LOD Standard
Nicholas J. Car [SURROUND Pty Ltd & Australian National University firstname.lastname@example.org]
Abstract. In 2012 the Open Geospatial Consortium published GeoSPARQL defining "an RDF/OWL ontology for [spatial] information", "SPARQL extension functions"' for performing spatial operations on RDF data and "RIF rules" defining entailments to be drawn from graph pattern matching.
In the 8+ years since its publication, GeoSPARQL has become the most important spatial Semantic Web standard, as judged by references to it in other Semantic Web standards and its wide use for Semantic Web data.
An update to GeoSPARQL was proposed in 2019 to deliver a version 1.1 with a charter to: handle outstanding change requests and source new ones from the user community and to "better present" the standard, that is to better link all the standard’s parts and better document & exemplify elements. Expected updates included new geometry representations, alignments to other ontologies, handling of new spatial referencing systems, and new artifact presentation. In this paper, we describe motivating change requests and actual resultant updates in the candidate version 1.1 of the standard alongside reference implementations and usage examples.
We also describe the theory behind particular updates, initial implementations of many parts of the standard, and our expectations for GeoSPARQL 1.1's use.
Figure 1: The basic class model of GeoSPARQL with some classes new in version 1.1, such as the Collection classes.
SURROUND's role in the GeoSPARQL standard
SURROUND Data Systems Architect, Nicholas Car, led the editing of version 1.1 of GeoSPARQL and introduced the Profiles Vocabulary approach to describing the standard. SURROUND also provided the reference implementation of the Discrete Global Grid System functions and GeoSPARQL / OGC API integration.
SURROUND's demonstration API for GeoSPARQL / OGC API integration is online at http://asgs.surroundaustralia.
Figure 2: A traditional geometry (a polygon) and Discrete Global Grid System (DGGS) grid geometries for an object at different resolutions. These DGGS geometries can now be included in GeoSPARQL data due to SURROUND's work in GeoSPARQL 1.1.