Index

GEO.or.id System Index

GEO.or.id is an AI-first epistemic architecture that structures information into layered systems of retrieval, evidence, ontology, reasoning, and trust. This index is the root-level control map of the entire system.

The system is designed to transform raw information into validated, traceable, and weighted knowledge through interconnected modules. Every layer is explicitly connected and auditable.

1. System Architecture Overview

The architecture is composed of six primary layers:

• Query Layer — intent parsing and retrieval direction generation
• Retrieval Layer — information access and ranking engine
• Evidence Layer — structured truth construction system
• Ontology Layer — meaning, entity, and relation structure
• Reasoning Layer — inference and truth construction engine
• Trust Layer — validation, decay, and authority control system

2. End-to-End System Flow

The system operates as a continuous transformation pipeline:

Query
→ Retrieval
→ Evidence Binding
→ Evidence Graph
→ Evidence Weighting
→ Cross-Source Correlation
→ Multi Evidence Fusion
→ Evidence Grounding
→ Reasoning Engine
→ Answer Trace
→ System Trust Score

Each stage enforces constraints to prevent ungrounded or non-traceable outputs.

3. Evidence Core System

The Evidence Layer is the central truth construction engine:

• Evidence Retrieval Binding
• Evidence Graph
• Evidence Weighting Engine
• Cross Source Correlation
• Multi Evidence Fusion
• Evidence Grounding Layer
• Evidence to Answer Trace
• Evidence Drift Detection

Supporting systems: Provenance Model, Conflict Detection, Conflict Resolution, Reliability Index, Confidence Model

4. Retrieval System

• Vector Search
• Semantic Matching
• Retrieval Ranking
• Source Selection
• Re-ranking System
• Answer Generation

5. Query Intelligence System

• Query Normalization
• Query Decomposition
• Intent Classification
• Entity Disambiguation
• Semantic Grounding
• Multi Intent Detection

6. Ontology System

• Entity Model
• Relation Model
• Entity Relationships
• Concept Hierarchy
• Semantic Map
• Knowledge Structure
• Ontology Drift Control

7. Reasoning System

• Machine Reasoning
• Multi-Hop Reasoning
• Causal Inference
• Probabilistic Truth
• Semantic Inference
• Truth Construction

8. Trust System

• System Trust Score
• Machine Trust Index
• Source Credibility
• Semantic Reliability
• Trust Decay
• Authority Persistence

9. Observability & Evaluation

• Observatory Layer
• Experiment System
• Dataset Layer
• Model Analysis Layer

10. System Principles

• No ungrounded output is allowed
• All answers must be traceable to evidence
• Contradictions are preserved, not hidden
• Trust is computed, not assumed
• Truth is probabilistic, not absolute
• All layers are interconnected, not isolated