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ATEMEZING Ghislain

PROFILE

Atemezing Ghislain

Ghislain Atemezing contributed to the opengeospatial/ontology-crs repository by enhancing geospatial ontology data quality and semantic structure over a two-month period. He enriched planetary datasets in CSV format with new SuperClass and Definition fields, improved coordinate system ontologies by refining URIs and adding disjointness relationships, and standardized axis abbreviations using ISO context. Ghislain also addressed data integrity by correcting namespace prefixes and fixing labeling inconsistencies, ensuring reliable referencing and consistent terminology. His work leveraged skills in data annotation, data modeling, and ontology engineering, resulting in improved interoperability, documentation, and downstream analytics for geospatial data consumers and mapping workflows.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

10Total
Bugs
2
Commits
10
Features
4
Lines of code
97
Activity Months2

Your Network

3 people

Work History

October 2025

2 Commits • 1 Features

Oct 1, 2025

In October 2025, the ontology-crs work focused on data quality improvements and user-facing enhancements for the Open Geospatial ontology. Key deliverables include a bug fix to correct the datatypeprop namespace prefix to geosrs, ensuring accurate data referencing across properties such as asProj4, asProjJSON, and asWKT, as well as a data enhancement feature that updates coordinate operation labels and introduces new visuals for co and core components to improve descriptive accuracy and conceptual understanding. These changes reduce data misreferences, improve documentation, and support reliable downstream analytics and mapping workflows. The work demonstrates careful data governance and cross-functional collaboration, with changes tracked via commits ca361ecf513ade6924b2d3e809892429577ea376 and 1970670b45297119c77cd4ce3e2bf6ad576854e0.

September 2025

8 Commits • 3 Features

Sep 1, 2025

2025-09 monthly performance summary for opengeospatial/ontology-crs. Focused on delivering data-quality fixes, semantic enrichment, and ontology enhancements to improve data integrity, interoperability, and business value across geospatial datasets.

Activity

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Quality Metrics

Correctness88.0%
Maintainability88.0%
Architecture82.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSV

Technical Skills

Data AnnotationData CleaningData CurationData HarmonizationData ModelingOntology EngineeringOntology Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

opengeospatial/ontology-crs

Sep 2025 Oct 2025
2 Months active

Languages Used

CSV

Technical Skills

Data AnnotationData CleaningData CurationData HarmonizationData ModelingOntology Engineering

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