AI-native enterprises require explicit skill governance — replacing undocumented tribal knowledge with composable execution units tracked through a lifecycle and provenance model.
The ontology defines a structured role model with two primary roles: Forward Deployed Engineers and Inward Redeployed Engineers. Both are subtypes of EngineeringRole.
Outward-facing role embedded in customer environments to deploy and adapt AI systems in real-world contexts.
Required Skills:Inward-facing role focused on extracting tacit knowledge and transforming it into structured, reusable, AI-executable skills.
Required Skills:The AILiteracySkill defines 9 core capabilities required to build, operate, and govern AI systems.
| # | Skill | Definition |
|---|---|---|
| 1 | LLM Mastery | Mastery of frontier LLMs across vendors. Without this, AI systems become opaque black boxes instead of controllable reasoning systems. |
| 2 | AI Agent Engineering | Design of modular agents composed of skills and tools. Enables transition from prompt-based usage to autonomous, composable AI systems. |
| 3 | Skill Engineering | Design of reusable skills decoupled from tools and data spaces. Transforms tribal knowledge into reusable enterprise execution units. |
| 4 | Data Space Tooling (CRUD) | Building tools for CRUD operations across data spaces. Without this, AI cannot act on real enterprise data systems. |
| 5 | API Interoperability (OpenAPI + MCP) | Design and consumption of interoperable APIs. Provides the connective tissue enabling cross-system AI orchestration. |
| 6 | HTTP Protocol Mastery | Deep understanding of HTTP semantics and distributed communication. HTTP is the universal transport layer for AI-enabled distributed systems. |
| 7 | Linked Data & Semantic Web | Modeling structured knowledge using RDF and semantic graphs. Enables machine-readable enterprise knowledge and cross-domain reasoning. |
| 8 | Data Access Protocols | Database connectivity via ODBC, JDBC, and equivalents. Ensures AI systems can access complete enterprise datasets rather than fragments. |
| 9 | Declarative Query Languages | Mastery of SQL, SPARQL, GraphQL, GQL, openCypher. Enables structured retrieval of truth from heterogeneous enterprise data systems. |
Every Skill transitions through states tracked via hasLifecycleState:
SkillGenerationActivity captures how tacit knowledge transforms into structured skill artifacts using PROV-O.
Role: InwardRedeployedEngineer
Organization: Enterprise Business Organization
Skill: IRE_KnowledgeCodification
Each query is a live executable schema:SoftwareSourceCode entity with a [Run Query] link to the URIBurner SPARQL endpoint. SPARQL GRAPH: DAV/demos/daas/ire-fde-ontology-minimax_m2.5free-1.ttl
Query 1 retrieves all ontology classes with subclass counts, ordered by hierarchy depth.
Query 2 gets all skills with their lifecycle states.
Query 3 gets the FDE role with its required skills.
Query 4 gets the IRE role with its required skills.
Query 5 gets all people with their roles and skills.
Query 6 traces the provenance chain from activity to agent to skill to lifecycle.
Forward Deployed Engineers (FDEs) are outward-facing — embedded in customer environments to deploy and adapt AI systems. Inward Redeployed Engineers (IREs) are inward-facing — focused on extracting tacit knowledge and transforming it into structured, reusable, AI-executable skills.
Every Skill transitions through states: ProposedSkill → ValidatedSkill → DeployedSkill → DeprecatedSkill.
AILiteracySkill defines the nine core capabilities required to build, operate, and govern AI systems.
The SkillGenerationActivity uses PROV-O to model how tacit knowledge becomes structured skill artifacts.
A structured enterprise role responsible for engineering work across internal or external system boundaries.
An outward-facing engineering role embedded in customer environments.
An inward-facing engineering role focused on extracting tacit knowledge.
A reusable, structured unit of operational capability executable by humans or AI agents.
Core capabilities required to build, operate, and govern AI systems.
Property linking a Skill to its current lifecycle state.
An activity that transforms tacit knowledge into structured skill artifacts.
Property linking an EngineeringRole to the Skill it requires.
Property linking a Person to the Skill they possess.
W3C Provenance Ontology for modeling provenance information.
Interactive visualization of entities and relationships. Click nodes to open in URIBurner resolver, drag to reposition.
This knowledge graph overview was generated by querying the URIBurner SPARQL endpoint for the named graph. The original document was transformed into RDF using kg-generator skill, then uploaded to the Virtuoso-based URIBurner server.
Technology Stack: