The Semantic Web and Machine-Readable Reality
Structured data helps software interpret relationships across information systems.
The Mechanism: Semantic-web technologies describe data and relationships in structured formats that software can process across sources. They help systems link concepts, but the structures still depend on human choices about categories and definitions.
The Philosophical Pivot: A machine-readable world is not the world itself. Turning people, places, and ideas into data makes some relationships searchable while leaving ambiguity, context, and lived meaning outside the schema.
The Horizon: Shared data standards may make services more interoperable and knowledge more accessible. They may also encourage institutions to treat what cannot be categorized as irrelevant or nonexistent.
Classification has political consequences because categories govern access, visibility, and error. The people described by a schema should have ways to contest how it represents them.
A digital map becomes powerful when decisions begin to treat its categories as reality rather than one model of it.
To make reality readable is also to decide what will remain unread.
Which parts of a person's identity become harder to recognize when a database must fit them into fixed categories?