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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Ontology Design Patterns |  Architecture arc42 |  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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | arc42 structures architecture knowledge so teams can document system, decisions, and risks consistently. The template builds a living understanding of the architecture instead of scattered notes. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-3 h pro Pattern | 1-2 Tage | 4-8 h initial, dann iterativ |
Participantsdifferent | 1-4 | 1-6 | 1-4 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Architecture Document, Context View, Runtime View, Deployment View | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | Knowledge graphValidationSemantic | OntologyPatternsReuseSemanticModeling | ArchitectureDocumentationCommunication | Knowledge graphModelingSemantic |