Relation Model

Context Block

• Page Type: Ontology Relation Modeling Layer
• System: GEO.or.id
• Position: Core relational architecture of ontology system

Relation Model defines the formal structure, rules, and execution logic of how entities are connected, interact, and influence each other inside the GEO.or.id ontology system.

Definition

Relation Model is a structured framework that defines how relationships between entities are represented, validated, weighted, and executed in a machine-readable ontology system.

It transforms relationships from semantic descriptions into computable graph logic.

Core Objective

To standardize relationship structures so they can be interpreted, validated, and executed consistently across all GEO.or.id systems.

Relation Model Architecture

1. Relation Definition Layer

Defines relation types derived from Entity Relationships.

• Structural relations
• Causal relations
• Semantic relations
• Trust relations
• Dependency relations

2. Directionality Layer

Ensures all relations are explicitly directed or bidirectional with constraints.

A → relation_type → B
    

3. Weighting Layer

Assigns confidence values using Machine Trust Index.

A → relation_type(weight=0.91) → B
    

4. Semantic Alignment Layer

Ensures relational meaning consistency through Semantic Inference.

5. Validation Layer

Validates relational correctness via Cross Domain Validation.

Relation Model Schema

{
  "source": "Entity A",
  "relation": "causes",
  "target": "Entity B",
  "direction": "directed",
  "weight": 0.87,
  "validated": true
}
    

Relation Execution Flow

• 1. Extract relation candidates from Retrieval Layer
• 2. Resolve entities via Entity Model
• 3. Normalize meaning via Semantic Map
• 4. Assign relation type
• 5. Compute weight via Machine Trust Index
• 6. Validate via Cross Domain Validation

Relation Constraints

• All relations must be explicitly typed
• No unweighted edges in execution layer
• No undefined directionality
• All relations must map to ontology rules
• Contradictions must be explicitly flagged

Failure Modes

• Unstructured graph relationships
• Undirected ambiguous edges
• Missing weight calibration
• Semantic mismatch between nodes
• Hidden contradiction loops

Performance Metrics

• Relation Accuracy Score
• Graph Consistency Index
• Directionality Compliance Rate
• Weight Calibration Accuracy
• Cross-Domain Relation Stability

Strategic Role

Relation Model is the structural execution layer that defines how knowledge nodes interact within GEO.or.id ontology.

It ensures all relationships are computable, validated, and consistently interpretable by machine reasoning systems.

Relationship Map

• Ontology Core: Ontology
• Entity Layer: Entity Model
• Relationship Layer: Entity Relationships
• Semantic Layer: Semantic Map
• Encoding Layer: AI Readable Relations
• Validation Layer: Cross Domain Validation
• Trust Layer: Trust Layer

Structured Summary

Relation Model is the formal structure that defines how relationships between entities are represented, weighted, and executed within GEO.or.id ontology.

It transforms relationships into a computable, validated graph system for machine reasoning.