Title here
Summary here
S2DM Documentation
Welcome to the complete documentation for the Simplified Semantic Data Modeling (S2DM) approach. This documentation is organized into three main sections:
Documentation Sections
The documentation is structured to guide you through understanding, implementing, and using S2DM:
- Approach Overview - Learn the fundamental concepts and principles of S2DM
- Data Modeling Guideline - Step-by-step guide to modeling your domain with S2DM
- Tools - Available tools and utilities to support your S2DM implementation
Each section contains detailed information to help you effectively use the S2DM approach for your data modeling needs.
S2DM artifacts are based on the following existing resources. Getting familiar with them is recommended.
Modeling languages and vocabularies
- GraphQL Schema Definition Language (SDL): Provides a clear, human-readable syntax for defining data structures and relationships, making it easy for SMEs to understand and use without requiring deep technical expertise.
- Simple Knowledge Organization System (SKOS): An RDF-based vocabulary that offers a straightforward framework for creating and managing hierarchical classifications and relationships between concepts, facilitating intuitive and semantically rich knowledge organization.
Tools
- rdflib: For working with RDF data in Python (e.g.,
SKOS). - graphql-core: For working with
GraphQLschemas in Python (e.g.,SDL). - Others
- rdflib: For working with RDF data in Python (e.g.,