
Luis de Sousa enhanced the opengeospatial/ontology-crs repository by developing and refining geospatial ontology data models, focusing on coordinate reference systems and metadata enrichment. He applied skills in CSV manipulation, ontology engineering, and SHACL to standardize labels, definitions, and data structures, improving clarity and interoperability for downstream geospatial applications. His work included expanding support for compound CRSs, DGGS projections, and PROJJSON compatibility, as well as implementing robust metadata management and validation constraints. By consolidating data quality improvements and addressing structural gaps, Luis delivered well-documented, maintainable solutions that strengthened data integrity and streamlined integration with geospatial tools and standards.

September 2025 – Key deliverables for opengeospatial/ontology-crs: DGGS Polyhedral Globe Equal-Area Projections added; ontology datatype properties enhanced; SHACL constraint corrections implemented. These changes expand DGGS applicability, improve metadata quality, and strengthen data validation, delivering measurable business value for interoperability and data quality.
September 2025 – Key deliverables for opengeospatial/ontology-crs: DGGS Polyhedral Globe Equal-Area Projections added; ontology datatype properties enhanced; SHACL constraint corrections implemented. These changes expand DGGS applicability, improve metadata quality, and strengthen data validation, delivering measurable business value for interoperability and data quality.
July 2025 (opengeospatial/ontology-crs): Delivered a targeted feature and a bug fix that enhance ontology clarity, data discovery, and interoperability for spatial referencing and CRS properties. The work extends metadata coverage, enforces consistent labeling, and strengthens data definitions across geospatial concepts, delivering measurable business value to data users and downstream systems.
July 2025 (opengeospatial/ontology-crs): Delivered a targeted feature and a bug fix that enhance ontology clarity, data discovery, and interoperability for spatial referencing and CRS properties. The work extends metadata coverage, enforces consistent labeling, and strengthens data definitions across geospatial concepts, delivering measurable business value to data users and downstream systems.
May 2025 monthly summary for opengeospatial/ontology-crs: focused on data quality improvements within the Geospatial Ontology. Consolidated four commits into a single cohesive data-quality improvement effort, driving updates to coordinate operation labels/definitions, removal of deprecated entries, refined classifications, and standardized CSV data. This work enhances data integrity, consistency, and readiness for downstream consumers, aligning ontology quality with product and client needs.
May 2025 monthly summary for opengeospatial/ontology-crs: focused on data quality improvements within the Geospatial Ontology. Consolidated four commits into a single cohesive data-quality improvement effort, driving updates to coordinate operation labels/definitions, removal of deprecated entries, refined classifications, and standardized CSV data. This work enhances data integrity, consistency, and readiness for downstream consumers, aligning ontology quality with product and client needs.
Consolidated and expanded CRS data definitions and schema in srs.csv for opengeospatial/ontology-crs, focusing on compound CRSs and their spatio-parametric and spatio-temporal variations; introduced new data columns (DisjointClass, PROJJSON, OGCJSON) and added geosrs:SRSRegistry to improve data completeness and ontology alignment; enabling more accurate metadata, better interoperability with PROJ/OGC tooling, and streamlined downstream analytics.
Consolidated and expanded CRS data definitions and schema in srs.csv for opengeospatial/ontology-crs, focusing on compound CRSs and their spatio-parametric and spatio-temporal variations; introduced new data columns (DisjointClass, PROJJSON, OGCJSON) and added geosrs:SRSRegistry to improve data completeness and ontology alignment; enabling more accurate metadata, better interoperability with PROJ/OGC tooling, and streamlined downstream analytics.
2025-03 monthly summary for opengeospatial/ontology-crs: Delivered ontology data enrichment and critical data-structure improvements that enhance metadata coverage, CRS type refinement, and PROJJSON compatibility; fixed data structure gaps to reduce downstream errors and enable smoother geospatial transformations.
2025-03 monthly summary for opengeospatial/ontology-crs: Delivered ontology data enrichment and critical data-structure improvements that enhance metadata coverage, CRS type refinement, and PROJJSON compatibility; fixed data structure gaps to reduce downstream errors and enable smoother geospatial transformations.
February 2025: Delivered key enhancements to the Coordinate System Ontology in opengeospatial/ontology-crs, expanding coverage and improving accuracy for geospatial data modeling. Completed a rigorous labeling pass, establishing a solid baseline for interoperability and downstream integration.
February 2025: Delivered key enhancements to the Coordinate System Ontology in opengeospatial/ontology-crs, expanding coverage and improving accuracy for geospatial data modeling. Completed a rigorous labeling pass, establishing a solid baseline for interoperability and downstream integration.
January 2025 monthly summary for opengeospatial/ontology-crs focusing on feature enhancements and data enrichment in the Datum and CS modules. Delivered high-impact ontology improvements and data enrichment driving semantic clarity and interoperability.
January 2025 monthly summary for opengeospatial/ontology-crs focusing on feature enhancements and data enrichment in the Datum and CS modules. Delivered high-impact ontology improvements and data enrichment driving semantic clarity and interoperability.
December 2024 monthly wrap-up for opengeospatial/ontology-crs: Focused on enhancing the ontology by adding detailed labels and definitions for core object properties in objprop.csv, refining existing entries, and introducing new ones to improve clarity and completeness for coordinate reference systems. This work improved data quality and interoperability for downstream geospatial applications, with full traceability through a targeted commit. No major bug fixes this month.
December 2024 monthly wrap-up for opengeospatial/ontology-crs: Focused on enhancing the ontology by adding detailed labels and definitions for core object properties in objprop.csv, refining existing entries, and introducing new ones to improve clarity and completeness for coordinate reference systems. This work improved data quality and interoperability for downstream geospatial applications, with full traceability through a targeted commit. No major bug fixes this month.
November 2024 performance summary for repository opengeospatial/ontology-crs. Delivered two key features focusing on data clarity and project hygiene, with no explicit bug fixes reported this month. The work improves interoperability, maintainability, and onboarding readiness, reinforcing our geospatial ontology data quality and developer experience.
November 2024 performance summary for repository opengeospatial/ontology-crs. Delivered two key features focusing on data clarity and project hygiene, with no explicit bug fixes reported this month. The work improves interoperability, maintainability, and onboarding readiness, reinforcing our geospatial ontology data quality and developer experience.
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