Ontology System Index

Ontology System Index

The Ontology System is the semantic structure layer of GEO.or.id. It defines how entities, concepts, and relationships are formally represented, aligned, and maintained across the entire knowledge architecture.

This layer ensures that all retrieved and processed information has a consistent meaning structure before entering reasoning and trust systems.

1. Ontology System Role

Ontology acts as the semantic backbone of the system:

Query → Retrieval → Evidence → Ontology Alignment → Reasoning → Trust

It converts unstructured meaning into structured, machine-readable relationships.

2. Core Ontology Architecture

• Entity Model
• Relation Model
• Entity Relationships
• Concept Hierarchy
• Knowledge Structure

3. Semantic Mapping Layer

This layer defines how meaning is structured and mapped across systems:

• Semantic Map
• Geo Taxonomy
• AI Readable Relations
• Machine Ontology

4. Ontology Alignment System

Ontology alignment ensures consistency between different knowledge representations and prevents semantic fragmentation.

• Evidence Ontology Alignment
• Query Ontology Alignment

5. Ontology Drift Control

Ontology drift occurs when meaning changes across time, systems, or context.

• Ontology Drift Control
• Evidence Drift Detection

6. Entity Structural System

Entities are the atomic units of the ontology system.

• Entity Mapping
• Entity Disambiguation
• Entity Prioritization
• Evidence Entity Linking

7. Ontology in System Architecture

The ontology layer connects meaning across all system components:

• Retrieval System
• Evidence System
• Reasoning System
• Trust System

8. System Principle

• Meaning must be explicitly structured
• Entities must be disambiguated before reasoning
• Relationships are first-class objects, not metadata
• Ontology drift is continuously monitored
• No reasoning without semantic alignment