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Selected:Shape-First ModelingProperty Graph Schema DesignArchitecture Decision RecordOntology Design Patterns
| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Property Graph Schema Design |  Architecture Architecture Decision Record |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
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. | 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. | An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | Halber Tag pro Domain Slice | 4-8 h initial, dann iterativ | 15-45 min | 1-3 h pro Pattern |
Participantsdifferent | 1-4 | 1-6 | 1-3 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | ADR File, Decision Log, Rationale | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | Knowledge graphValidationSemantic | Knowledge graphModelingSemantic | ArchitectureRationaleDocumentationGovernance | OntologyPatternsReuseSemanticModeling |