https://github.com/covesa/s2dm

A Simplified Semantic Data Modeling (S2DM) approach that offers a pragmatic balance between semantic rigor and usability for subject matter experts.
https://github.com/covesa/s2dm

data-modeling graphql-sdl rdf semantics skos

Last synced: about 2 months ago
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A Simplified Semantic Data Modeling (S2DM) approach that offers a pragmatic balance between semantic rigor and usability for subject matter experts.

• Host: GitHub
• URL: https://github.com/covesa/s2dm
• Owner: COVESA
• License: mpl-2.0
• Created: 2025-05-27T14:07:08.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2026-02-15T01:17:23.000Z (2 months ago)
• Last Synced: 2026-02-15T08:43:46.086Z (2 months ago)
• Topics: data-modeling, graphql-sdl, rdf, semantics, skos
• Language: Python
• Homepage: https://covesa.github.io/s2dm/
• Size: 11.2 MB
• Stars: 12
• Watchers: 2
• Forks: 5
• Open Issues: 44
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

          
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 Simplified Semantic Data Modeling (S2DM)



`S2DM` is an approach for modeling data across multiple domains. It is designed to be simple and accessible for Subject Matter Experts (SMEs) while incorporating semantic principles to define meaningful data structures and relationships.

### Key Features:

- **GraphQL Schema Definition Language (SDL)**: Provides a human-readable syntax for defining data structures and relationships.

- **Simple Knowledge Organization System (SKOS)**: Facilitates hierarchical classifications and semantic relationships.

### Core Principle:

`S2DM` promotes a data-centric architecture by enabling systems in the physical layer (e.g., databases, applications) to share common concepts modeled in a unified conceptual layer.

### Learn More:

For detailed guidelines, tools, and contribution instructions, check out the documentation: [S2DM Documentation](https://covesa.github.io/s2dm)