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| Criterion |  Architecture Risk Storming |  Knowledge Modeling Competency Questions |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
Purposedifferent | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 60-90 min | 2-4 h | 1-3 h pro Pattern | Halber Tag pro Domain Slice |
Participantsdifferent | 4-12 | 2-8 | 1-6 | 1-4 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Annotated Diagram, Prioritized Risk List, Action Backlog | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | RiskArchitectureWorkshopValidation | OntologyKnowledge graphScopeRequirementsSemantic | OntologyPatternsReuseSemanticModeling | Knowledge graphValidationSemantic |