Building block

Knowledge Interop Services

Knowledge Interop Services provide the graph-backed layer that turns extracted data into governed, queryable knowledge. The service supports knowledge construction from heterogeneous sources, SPARQL and Cypher querying, and policy-driven access control. It bridges the gap between raw AI extraction and the structured domain models that downstream applications consume.

What this enables

What Knowledge Interop Services supports.

Document knowledge extraction

Receives extracted knowledge elements and constructs governed, queryable knowledge graphs that preserve the provenance and structure established during extraction.

Semantic data integration

Provides the graph-backed integration layer that merges data from multiple sources into a unified knowledge model with policy-driven access control and governance.

Auditable digital thread

Maintains the queryable knowledge graph that connects source data, extracted knowledge, and domain decisions — making the full digital thread searchable and auditable.

AI agent orchestration

Exposes the knowledge graph as a queryable context layer that AI agents use to ground their reasoning, ensuring agent outputs are consistent with governed domain knowledge.

Applied domains

Where knowledge interop services has been used.

Financial services

Ontology-grounded risk, compliance, AML, and data lineage for regulated financial workflows.

Engineering

AI-assisted design for industrial and process engineering, with document-grounded knowledge, simulation integration, and auditable deliverables across regulated sectors.

Healthcare

Semantic data integration pipelines for medical device data, patient records, and health analytics built on bCLEARer architecture.

Media rights

Knowledge-driven rights management and content provenance tracking across media supply chains.