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| Criterion | ![]() Knowledge Modeling Shape-First Modeling | ![]() Architecture Architecture Inception Canvas | ![]() Knowledge Modeling Competency Questions |
|---|---|---|---|
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. | The Architecture Inception Canvas bundles the first architecture questions into a compact decision picture. It fits when an initiative is still in motion but still needs clear guardrails. | 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. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-2 h | 2-4 h |
Participantsdifferent | 1-4 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Inception Canvas, Risks, Goal List, Open Questions | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphValidationSemantic | AlignmentArchitectureCanvas | OntologyKnowledge graphScopeRequirementsSemantic |
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