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| Criterion |  Knowledge Modeling Concept Mapping |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Property Graph Schema Design |
|---|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 h | 1-3 h | Halber Tag pro Domain Slice | 4-8 h initial, dann iterativ |
Participantsdifferent | 1-8 | 3-12 | 1-4 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | 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 |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | KnowledgeMappingRisk | Knowledge graphValidationSemantic | Knowledge graphModelingSemantic |