Knowledge Graph
Transform raw connectivity into structured knowledge through semantic graphs
Knowledge Graph
Everything is a network — but not everything is useful until you structure it. The ƒXYZ Knowledge Graph transforms raw connectivity into organized knowledge through semantic graphs powered by Neo4j, FIBO ontologies, and advanced visualization.
Network vs Graph
A network is raw connectivity — entities linked without context, often appearing as chaotic “hairballs” with little insight.
A graph is a network enriched with semantics, types, and properties. Graph = Network + metadata (types, weights, directions).
By adding structure through ontologies like FIBO, we transform noise into queryable knowledge that can answer “who, what, when, where, why.”
DIKW Transformation Pipeline
Variables → Network → Graph → Information → Intelligence → Knowledge → Wisdom
Core Components
1. Nodes & Members
- Human Nodes: Members with DIDs, wallets, and progressive reputation
- Fixies (AI Agents): Autonomous agents operating across the network
- Financial Entities: Banks, exchanges, and institutional nodes
- Progressive Membership: Novice → Expert → Master with rites of passage
2. Ontologies & Data Model
- FIBO Foundation: Financial Industry Business Ontology for standardization
- ƒXYZ Extensions: Custom schemas for membership, governance, and AI agents
- Temporal Schema: Time-based relationships with Solana PoH integration
- RDF Integration: Semantic web standards via rdflib-neo4j
3. Technology Stack
- Neo4j Database: Graph storage with temporal and spatial capabilities
- Solana Integration: Proof-of-History timestamping for immutable event ordering
- Privacy Tech: ElGamal encryption, zero-knowledge proofs, confidential computing
- Data Pipelines: Real-time feeds from central banks, forex, DeFi, and hawala networks
4. Visualizations
- Neo4j NVL: Production-grade graph visualization engine
- Interactive Demos: Real-time exploration with WebGL performance
- Three.js Integration: 3D cosmic backgrounds and effects
- Export Capabilities: PNG, SVG, JSON export with styling options
Use Cases
Financial Operations
- Triangular Arbitrage: Multi-hop currency optimization using shortest path algorithms
- Liquidity Routing: Optimal paths for large token transfers
- Cross-border Transfers: Digital hawala evolution with privacy preservation
Governance & Reputation
- Peer Validation: Community-driven verification through graph relationships
- Reputation Propagation: Weighted endorsement systems
- Circle Structures: Holacracy-inspired governance with clear authority mapping
Privacy & Compliance
- Selective Disclosure: Granular privacy controls managed by Fixies
- Anonymous Attestations: Prove credentials without revealing identity
- Audit Trails: Complete transaction history with temporal consistency
Technical Specifications
Performance
- 1M+ nodes in production graph
- <50ms average query response time
- 99.9% uptime with real-time synchronization
Security
- ElGamal Encryption: Client-side WASM implementation
- Zero-Knowledge Proofs: Relationship verification without data exposure
- Proof-of-History: Immutable event ordering via Solana blockchain
Interoperability
- SPARQL Queries: Standard semantic web query language
- GraphQL API: Modern API with real-time subscriptions
- Vector Embeddings: AI/ML integration for intelligent querying
Getting Started
- Explore the Graph: Visit
/graphin the web application - Interactive Testing: Access
/test-nvlfor live Neo4j NVL integration - API Documentation: Review GraphQL schema and query examples
- Join the Network: Become a member to contribute and validate
The Knowledge Graph is not just a database—it’s the central nervous system of the ƒXYZ network, enabling transparency, privacy, and intelligent financial operations at scale.
Knowledge Graph
Transform raw connectivity into structured knowledge through semantic graphs
Knowledge Graph
Everything is a network — but not everything is useful until you structure it. The ƒXYZ Knowledge Graph transforms raw connectivity into organized knowledge through semantic graphs powered by Neo4j, FIBO ontologies, and advanced visualization.
Network vs Graph
A network is raw connectivity — entities linked without context, often appearing as chaotic “hairballs” with little insight.
A graph is a network enriched with semantics, types, and properties. Graph = Network + metadata (types, weights, directions).
By adding structure through ontologies like FIBO, we transform noise into queryable knowledge that can answer “who, what, when, where, why.”
DIKW Transformation Pipeline
Variables → Network → Graph → Information → Intelligence → Knowledge → Wisdom
Core Components
1. Nodes & Members
- Human Nodes: Members with DIDs, wallets, and progressive reputation
- Fixies (AI Agents): Autonomous agents operating across the network
- Financial Entities: Banks, exchanges, and institutional nodes
- Progressive Membership: Novice → Expert → Master with rites of passage
2. Ontologies & Data Model
- FIBO Foundation: Financial Industry Business Ontology for standardization
- ƒXYZ Extensions: Custom schemas for membership, governance, and AI agents
- Temporal Schema: Time-based relationships with Solana PoH integration
- RDF Integration: Semantic web standards via rdflib-neo4j
3. Technology Stack
- Neo4j Database: Graph storage with temporal and spatial capabilities
- Solana Integration: Proof-of-History timestamping for immutable event ordering
- Privacy Tech: ElGamal encryption, zero-knowledge proofs, confidential computing
- Data Pipelines: Real-time feeds from central banks, forex, DeFi, and hawala networks
4. Visualizations
- Neo4j NVL: Production-grade graph visualization engine
- Interactive Demos: Real-time exploration with WebGL performance
- Three.js Integration: 3D cosmic backgrounds and effects
- Export Capabilities: PNG, SVG, JSON export with styling options
Use Cases
Financial Operations
- Triangular Arbitrage: Multi-hop currency optimization using shortest path algorithms
- Liquidity Routing: Optimal paths for large token transfers
- Cross-border Transfers: Digital hawala evolution with privacy preservation
Governance & Reputation
- Peer Validation: Community-driven verification through graph relationships
- Reputation Propagation: Weighted endorsement systems
- Circle Structures: Holacracy-inspired governance with clear authority mapping
Privacy & Compliance
- Selective Disclosure: Granular privacy controls managed by Fixies
- Anonymous Attestations: Prove credentials without revealing identity
- Audit Trails: Complete transaction history with temporal consistency
Technical Specifications
Performance
- 1M+ nodes in production graph
- <50ms average query response time
- 99.9% uptime with real-time synchronization
Security
- ElGamal Encryption: Client-side WASM implementation
- Zero-Knowledge Proofs: Relationship verification without data exposure
- Proof-of-History: Immutable event ordering via Solana blockchain
Interoperability
- SPARQL Queries: Standard semantic web query language
- GraphQL API: Modern API with real-time subscriptions
- Vector Embeddings: AI/ML integration for intelligent querying
Getting Started
- Explore the Graph: Visit
/graphin the web application - Interactive Testing: Access
/test-nvlfor live Neo4j NVL integration - API Documentation: Review GraphQL schema and query examples
- Join the Network: Become a member to contribute and validate
The Knowledge Graph is not just a database—it’s the central nervous system of the ƒXYZ network, enabling transparency, privacy, and intelligent financial operations at scale.