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| Criterion |  Knowledge Modeling Shape-First Modeling |  Architecture ARID (Active Reviews for Intermediate Designs) |  Architecture C4 Model |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
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. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | 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. | The NeOn Methodology structures ontology work as a controlled process with reuse, scenarios, and reviews. It is useful when ontologies should not emerge ad hoc but modularly and reusably. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | Halber Tag pro Domain Slice | 2–4 h review as a planning range; preparation and evaluation additional | 1-4 h | Mehrere Wochen bis Monate |
Participantsdifferent | 1-4 | Designers, developers as users, and facilitation | 1-5 | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Context Diagram, Container Diagram, Component Diagram | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | Knowledge graphValidationSemantic | ArchitectureEngineeringFeedbackValidationTasks | ArchitectureCommunicationVisualization | OntologyMethodologyReuseSemanticEngineering |