OGC Seeks Public Comment on Updated GeoSPARQL 1.1 Standard

The Open Geospatial Consortium (OGC) has opened a public comment period for the proposed adoption of GeoSPARQL version 1.1, an update to the widely used geospatial standard that extends SPARQL for querying geographic linked data. Stakeholders, developers, and data specialists are invited to review the candidate specification and submit feedback before the January 2023 deadline.
GeoSPARQL enhances the SPARQL query language used in the Semantic Web ecosystem, enabling geographic queries on Resource Description Framework (RDF) datasets. The updated version builds upon the original 2012 specification by expanding geometry support, improving documentation, and strengthening interoperability with modern geospatial data technologies.
Key enhancements in GeoSPARQL 1.1 include support for widely adopted geometry formats such as GeoJSON, additional spatial functions including area calculations, and the introduction of Discrete Global Grid System (DGGS) geometry representations. The update also expands the GeoSPARQL ontology with new classes for FeatureCollections and GeometryCollections, as well as properties supporting both metric and non-metric measurements. Validation capabilities have been improved through the addition of SHACL shapes designed to verify GeoSPARQL-compliant RDF data.
Beyond technical additions, the revised standard offers clearer guidance and examples, improved mappings to other geospatial models and query languages, and formal profiles that define roles for related resources and supporting vocabularies. These changes are intended to simplify adoption and ensure stronger alignment with FAIR data principles—making geospatial data more findable, accessible, interoperable, and reusable.
Organizations and individuals interested in the development of geospatial standards are encouraged to participate in the review process and contribute feedback through the OGC public comment portal. The GeoSPARQL 1.1 update reflects ongoing collaboration between the geospatial and Semantic Web communities to support more powerful and interoperable spatial data infrastructures worldwide.















