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| Criterion |  Knowledge Modeling Shape-First Modeling |  Architecture C4 Model |  Knowledge Modeling Competency Questions |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
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 C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes. | 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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-4 h | 2-4 h | Wochen bis Monate |
Participantsdifferent | 1-4 | 1-5 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Context Diagram, Container Diagram, Component Diagram | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | Knowledge graphValidationSemantic | ArchitectureCommunicationVisualization | OntologyKnowledge graphScopeRequirementsSemantic | OntologyMethodologyAgileSemantic |