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| Criterion |  Knowledge Modeling IBIS |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h | Halber Tag pro Domain Slice | 4-8 h initial, dann iterativ | 1-3 h pro Pattern |
Participantsdifferent | 2-8 | 1-4 | 1-6 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Issue Map, Positions, Argument Notes | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | RationaleKnowledgeDecision | Knowledge graphValidationSemantic | Knowledge graphModelingSemantic | OntologyPatternsReuseSemanticModeling |