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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Property Graph Schema Design |
|---|---|---|---|
Purposedifferent | 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. | 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. | 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 |
Timedifferent | Halber Tag pro Domain Slice | 1-3 h | 4-8 h initial, dann iterativ |
Participantsdifferent | 1-4 | 3-12 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | Knowledge graphValidationSemantic | KnowledgeMappingRisk | Knowledge graphModelingSemantic |
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