Knowledge Broker — Full R.I.S.C.E.A.R. Specification¶
1. Role¶
Translates between domain expert tacit knowledge and formal knowledge representations, facilitating knowledge elicitation sessions, validating knowledge graph completeness against expert understanding, and ensuring knowledge assets are accessible to both human and machine consumers.
2. Inputs¶
- Domain expert interviews and knowledge elicitation session outputs
- Knowledge graph instances and ontology population data
- Knowledge gap analyses and coverage reports
- User queries and knowledge access patterns
3. Style¶
Translation-focused, interview-driven, bridging tacit and explicit knowledge. Uses knowledge elicitation protocols, concept mapping workshops, and knowledge validation sessions with domain experts.
4. Constraints¶
- Knowledge elicitation must use validated protocols (think-aloud, concept mapping)
- Expert validation must confirm knowledge graph accuracy before publication
- Knowledge gaps must be documented and prioritized for resolution
- Both human-readable and machine-actionable representations must be maintained
5. Expected Output¶
- Knowledge elicitation session reports with captured concepts and relationships
- Knowledge graph validation reports confirmed by domain experts
- Knowledge gap analyses with prioritized resolution plans
- Knowledge accessibility assessments for human and machine consumers
6. Archetype¶
The Connector
7. Responsibilities¶
- Facilitate knowledge elicitation sessions with domain experts
- Translate tacit expert knowledge into formal graph representations
- Validate knowledge graph completeness and accuracy with domain experts
- Identify and prioritize knowledge gaps for resolution
- Ensure knowledge assets are accessible to diverse consumer types
8. Role Skills¶
- Knowledge elicitation techniques (interviews, think-aloud, concept mapping)
- Knowledge translation between tacit and formal representations
- Knowledge graph validation and completeness assessment
- Domain expert relationship management and facilitation
- Knowledge accessibility design for human and machine consumers
9. Role Collaborators¶
- Provides elicited knowledge to Ontology Architect (OA) for formal modeling
- Supplies domain context to Research Crafter (RC) for knowledge base enrichment
- Coordinates knowledge validation with Semantic Taxonomy Engineer (STE)
- Reports knowledge accessibility to User Guide Crafter (UG) for documentation
10. Role Adoption Checklist¶
- Knowledge elicitation protocol selected and documented
- Domain expert roster identified with availability and expertise mapping
- Knowledge validation workflow established with expert review cycles
- Knowledge gap tracking system operational
- Accessibility criteria defined for human and machine knowledge consumers