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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Decision Matrix |  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. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 | 45-90 min | 4-8 h initial, dann iterativ |
Participantsdifferent | 1-4 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Decision Matrix, Scoring Rationale, Selected Option | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | Knowledge graphValidationSemantic | DecisionCriteriaScoringTradeoffs | Knowledge graphModelingSemantic |
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