Back to Knowledge Graph
Ontologies & Data Model
Structured knowledge representation built on FIBO standards with custom ƒXYZ extensions for progressive membership, multi-token systems, and AI agent integration.
FIBO Foundation
The Financial Industry Business Ontology (FIBO) provides the standardized foundation for our knowledge graph, ensuring compatibility with global financial standards.
Financial Instruments
Standardized definitions for currencies, derivatives, and financial products
Currency classifications
Exchange rate models
Liquidity instruments
Risk parameters
Market Infrastructure
Trading venues, settlement systems, and market data structures
Exchange definitions
Settlement mechanisms
Order book structures
Price discovery
Regulatory Framework
Compliance standards and regulatory entity relationships
KYC/AML standards
Reporting requirements
Jurisdiction mapping
Compliance rules
Legal Entities
Corporate structures and legal relationship definitions
Corporate hierarchies
Ownership structures
Legal jurisdictions
Contractual relationships
Schema Examples
Member Node Schema
{
"@context": "https://fxyz.network/ontology/member",
"type": "HumanNode",
"did": "did:fxyz:1234567890abcdef",
"memberLevel": "Expert",
"reputation": {
"validationScore": 0.87,
"peerEndorsements": 156,
"governanceParticipation": 0.92
},
"wallets": [
{
"blockchain": "solana",
"address": "7xKXtg2CW87d97TXJSDpbD5jBkheTqA83TZRuJosgAsU",
"confidentialBalance": "encrypted_amount"
}
],
"circles": ["dao-core", "validation-committee"],
"rites": ["kyc-verification", "peer-validation"],
"temporal": {
"joinedAt": "2024-01-15T10:30:00Z",
"lastActivity": "2024-12-20T14:22:15Z",
"pohTimestamp": "slot:123456789"
}
}Transaction Relationship
{
"@context": "https://fxyz.network/ontology/transaction",
"type": "FinancialRelationship",
"source": "member:alice",
"target": "member:bob",
"relationship": "CONFIDENTIAL_TRANSFER",
"amount": {
"currency": "FLORIN",
"value": "encrypted_with_elgamal",
"proof": "zk_proof_hash"
},
"temporal": {
"timestamp": "2024-12-20T14:22:15Z",
"pohSlot": 123456789,
"blockHash": "5eykt4UsFv8P8NJdTREpY1vzqKqZKvdpKuc147dw2N9d"
},
"validation": {
"fixieValidated": true,
"peerWitnesses": ["member:charlie", "member:dave"],
"complianceCheck": "PASSED"
}
}RDF & Neo4j Integration
RDF Standards
- • rdflib-neo4j: RDF to Neo4j mapping
- • SPARQL Queries: Standard semantic queries
- • Linked Data: Interoperable data connections
- • Schema Validation: SHACL constraint checking
Neo4j Enhancement
- • Cypher Queries: Graph-native query language
- • Performance Optimization: Native graph algorithms
- • Real-time Updates: Live data synchronization
- • Vector Embeddings: AI/ML integration support
Semantic Interoperability
Our ontology-driven approach ensures that all data and relationships in the ƒXYZ network are semantically rich, queryable, and compatible with global financial standards.