InfoLibrarian™ · Knowledge platform framework
Meaning as a first-class platform capability.
A full enterprise semantic layer—not a query-schema-only layer. Start with the metamodel: the types, relationships, and rules that make meaning governable. Business models sit on top. Glossaries, graphs, lineage, and AI context hang on that foundation. What the industry calls semantic layers and knowledge graphs today is what this framework was designed to do.
Full Enterprise Semantic Layer Capability Model
More than logical models or query metrics: business language, graph relationships, and mappings to physical systems, without replacing systems of record. Start with the metamodel; business models sit on top of it. Capability view first, detail table below.
Enterprise capability view: consume → language → business models on metamodel → connect → physical
Shared definitions of business terms and owners
Governed term sets for consistent naming and classification
Hierarchical domain structures for navigation and classification
Preferred terms, synonyms, broader/narrower relationships
Flexible steward or community tags, still under governance
Typed concepts and relationship rules for domain semantics. Business-level, sitting on the metamodel alongside business models.
Sit on the metamodel: capabilities, value streams, products, processes, domains, subject areas
Where you start: entity and relationship types, expressed as a property graph
Instances of meaning on the metamodel — entities and relationships as first-class objects. A property graph is the knowledge graph.
Concept → logical → physical (terms, models, schemas, tables, fields, systems)
Dependencies and change impact across the estate
Adapters and APIs that expose meaning to applications and portals
Search, discovery, and self-service for business and technical users
Enterprise Metadata Management
EMM is where you start: design the metamodel, then capture, connect, and activate meaning across the estate. That foundation powered scalable programs and is more critical now for AI, semantic layers, and knowledge graphs than when it was first proven.
Where EMM goes next · open source
EMM 2.0 — the Enterprise Metadata Management Manifesto
EMM is where you start. EMM 2.0 is where it continues — an open source, vendor-neutral framework on modern graph technologies, published through Data Trust Engineering, founded by Brian Brewer in 2025. The same discipline that ran inside enterprises under licence, now with reusable code, battle-tested patterns and tools you control. No vendor lock-in.
Read the EMM 2.0 Manifesto → datatrustmanifesto.orgClassic era · 2005–2020
Classic Metadata Management & Governance Building Blocks
What the discipline looked like when it ran as a licensed product inside the enterprise. The aspects below are the classic model — EMM 2.0 carries the same concerns onto an open substrate.
- Big data metadata
- Metadata ingestion
- Schema
- Data lineage
- Impact analysis
- Computational
- Operational metrics
- Property Graphs, Knowledge Graphs, and Ontologies
- Business glossary
- Taxonomies
- Semantics
- Data products
- Stewardship workflows
- Data marketplaces
- Single sign-on
- Governance dashboards
- Business perspectives
- Consumer workflows
- Democratization
- Shopping experience
- AI Chat UX
EMM 2.0: The Framework, in the Open
Everything above was proven inside enterprises under licence. The same discipline now continues as EMM 2.0 — developed in the open through Data Trust Engineering, with the patterns published rather than sold and AGP as the engine. Metamodel first, still.
