Interoperability Architecture
Schemas that carry their semantics, validation rules, and ontological mappings - enabling recipients to process data without prior coordination.
Embedded Semantics
<xs:annotation>
<xs:appinfo>
<rdf:type rdf:resource="
http://example.org/Patient"/>
</xs:appinfo>
</xs:annotation>
Validation Rules
sh:property [
sh:path ex:patientId ;
sh:datatype xsd:string ;
sh:pattern "^P[0-9]{6}$" ;
sh:minCount 1 ;
] .
Graph Structures
CREATE (p:Patient {
id: "P000123",
type: "http://ex.org/Patient"
})
-[:HAS_OBSERVATION]->(o:Obs)
Implementation Patterns
Healthcare Network
Hospitals exchange patient observations with FHIR-aligned ontology mappings and HIPAA-compliant validation
Supply Chain
Manufacturers share shipment data with GS1-aligned product ontologies and geospatial validation
Research Collaboration
Labs publish experimental results with domain-specific ontologies and reproducibility metadata
Why Not Traditional EDI or Vendor Formats?
Traditional EDI (X12, EDIFACT)
- - Fixed message types - slow evolution
- - No semantic interoperability
- - Proprietary implementations
- - High integration costs per partner
SDC4 Self-Describing Models
- + Extensible via W3C standards (RDF/OWL)
- + Embedded ontology mappings
- + Open specification - no vendor lock-in
- + Recipients auto-validate and interpret
Key Advantage: Organizations define models on THEIR schedule - no waiting for standards bodies or vendor roadmaps
Read Technical Specification