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| Criterion |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Concept Mapping |  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. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | 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 | 1-2 h | 2-4 h |
Participantsdifferent | 3-12 | 1-4 | 1-8 | 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 | Concept Map, Relationship Labels, Knowledge Gaps | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | KnowledgeMappingRisk | Knowledge graphValidationSemantic | KnowledgeConceptsMappingSensemaking | OntologyKnowledge graphScopeRequirementsSemantic |