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Selected:Context CanvasShape-First ModelingNeOn MethodologyARID (Active Reviews for Intermediate Designs)
| Criterion |  Product Discovery Context Canvas |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling NeOn Methodology |  Architecture ARID (Active Reviews for Intermediate Designs) |
|---|---|---|---|---|
Purposedifferent | When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency. | 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 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. | 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. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 45-90 min | Halber Tag pro Domain Slice | Mehrere Wochen bis Monate | 2–4 h review as a planning range; preparation and evaluation additional |
Participantsdifferent | 3-10 | 1-4 | 2-10 | Designers, developers as users, and facilitation |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Context canvas, Open questions, Shared context notes | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions |
Tagsno overlap | ContextFramingRequirementsCanvas | Knowledge graphValidationSemantic | OntologyMethodologyReuseSemanticEngineering | ArchitectureEngineeringFeedbackValidationTasks |