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| Criterion | ![]() Architecture Risk Storming | ![]() Knowledge Modeling Linked Open Terms | ![]() Knowledge Modeling Shape-First Modeling | ![]() Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
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. | 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. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 60-90 min | Wochen bis Monate | Halber Tag pro Domain Slice | Mehrere Wochen bis Monate |
Participantsdifferent | 4-12 | 2-8 | 1-4 | 2-10 |
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 | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | RiskArchitectureWorkshopValidation | OntologyMethodologyAgileSemantic | Knowledge graphValidationSemantic | OntologyMethodologyReuseSemanticEngineering |



