SDM = Semantic Data Model
The system defined for Hyperfiles, which involves mapping common fields between different schemas and types that refer to the same kinds of data, can be referred to as a Semantic Data Model. This term encompasses the principles of creating, interpreting, and organizing data in a way that allows it to be shared across applications, enterprises, and community boundaries.
Why distinguish schemas, types and fields?
Semantic Data Model
- Semantic: This aspect refers to the meaning and interpretation of the terms and data types within the model. It emphasizes the concept and context over the data itself, ensuring that the data can be universally understood across different systems.
- Data Model: This represents the structured representation of data elements and their relationships. In your case, the data model is defined through various schemas that describe how data is organized and how it relates to other data.
Features of a Semantic Data Model
- Interoperability: It facilitates data sharing and understanding across different systems by using common definitions and ontologies.
- Extensibility: It allows for easy modifications and extensions to accommodate new types of data or relationships as the domain expands.
- Reusability: Elements defined within a semantic data model can be reused across different areas of the system, promoting consistency and reducing redundancy.
Application
In practice, a semantic data model helps in creating systems that are flexible and adaptable to changes in data requirements, making it highly suitable for environments where data from different domains need to be integrated and consistently interpreted, such as in knowledge graphs, data warehouses, or complex system integrations.