Glossary

Universe

Think of a Universe as an independent semantic ecosystem.

An enterprise, a government, a person, an AI platform or even a digital twin may own its own Universe.

Every Universe governs its own knowledge.

Dimension

A Dimension is a large semantic space inside a Universe.

It separates different knowledge domains without creating separate Universes.

Namespace

A Namespace groups related concepts.

For example:

• employee
• organization
• product
• finance

In Meta-Universe v2 the Namespace replaces the former Galaxy concept.

Meta-Object

A Meta-Object is the digital semantic identity of something that exists (or is meaningful).

Examples include:

• Employee
• Company
• Product
• Invoice
• AI Agent

A Meta-Object represents meaning rather than storage.

Projection

A Projection is a view of a Meta-Object.

Different audiences receive different Projections of the same object.

Example:

The HR department, Payroll system and an external partner may all see different information about the same employee.

Context

Context explains *why* knowledge is being used.

The same information may have different meanings depending on:

• purpose;
• audience;
• time;
• assumptions.

Without Context, semantic interpretation becomes unreliable.

Event

An Event records something that happened.

Examples:

• Employee hired
• Product released
• Contract approved

Events explain how knowledge evolved.

Relationship

Relationships connect Meta-Objects.

Examples:

Employee reportsTo Manager.

Product belongsTo Catalog.

Relationships express business meaning.

Canonical Identity

The permanent identity of a Meta-Object.

Even if local systems change identifiers, the Canonical Identity remains stable.

Identity Binding

Identity Binding connects local identifiers to one Canonical Identity.

This allows independent systems to recognize the same real-world object.

Semantic Contract

A Semantic Contract defines the rules for exchanging knowledge.

It specifies:

• purpose;
• permissions;
• responsibilities;
• disclosure conditions.

Semantic Mapping

A Semantic Mapping explains how concepts from different Meta-Models correspond.

It allows independently designed models to work together.

Federation

Federation allows independent Universes to collaborate while remaining autonomous.

Knowledge is shared without surrendering ownership.

Semantic Sovereignty

Every Universe owns and governs its own knowledge.

Participation in federation never transfers ownership.

Provenance

Provenance answers:

"Where did this knowledge come from?"

Knowing the origin of information increases trust.

Traceability

Traceability answers:

"How did we get here?"

Every important change can be reconstructed through history.

Governance

Governance defines who makes decisions and how standards evolve.

It ensures predictable long-term development.

Compatibility

Compatibility describes whether two semantic artifacts can work together.

Compatibility is explicit rather than assumed.

Certification

Certification is independent evidence that something conforms to Meta-Universe standards.

Certification builds trust without changing ownership.

AI Agent

An AI Agent is more than an LLM.

Within the Meta-Universe, an AI Agent reasons using:

• Meta-Models;
• Context;
• Contracts;
• Projections;
• Events.

Knowledge exists outside the language model, making decisions more explainable and reusable.