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| Criterion | ![]() Architecture Risk Storming | ![]() Knowledge Modeling Linked Open Terms | ![]() Knowledge Modeling Competency Questions | ![]() 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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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. | 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 | Wochen bis Monate | 2-4 h | Halber Tag pro Domain Slice |
Participantsdifferent | 4-12 | 2-8 | 2-8 | 1-4 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Annotated Diagram, Prioritized Risk List, Action Backlog | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | RiskArchitectureWorkshopValidation | OntologyMethodologyAgileSemantic | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphValidationSemantic |



