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S2dm

A Simplified Semantic Data Modeling (S2DM) approach that offers a pragmatic balance between semantic rigor and usability for subject matter experts.

Install / Use

/learn @COVESA/S2dm
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Status - Incubating

<h2 align="center"> Simplified Semantic Data Modeling (S2DM) </h2>

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

Acknowledgements

Related Skills

View on GitHub
GitHub Stars14
CategoryDevelopment
Updated6d ago
Forks7

Languages

Python

Security Score

95/100

Audited on Mar 23, 2026

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