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| Criterion |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
Purposedifferent | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h | Halber Tag pro Domain Slice | 4-8 h initial, dann iterativ | 2-4 h |
Participantsdifferent | 3-12 | 1-4 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | KnowledgeMappingRisk | Knowledge graphValidationSemantic | Knowledge graphModelingSemantic | OntologyKnowledge graphScopeRequirementsSemantic |