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Selected:Assumption SurfacingARID (Active Reviews for Intermediate Designs)Ontology Design PatternsNeOn Methodology
| Criterion |  Decision Making Assumption Surfacing |  Architecture ARID (Active Reviews for Intermediate Designs) |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
Purposedifferent | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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 | 45-90 min | 2–4 h review as a planning range; preparation and evaluation additional | 1-3 h pro Pattern | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | Designers, developers as users, and facilitation | 1-6 | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Assumption List, Critical Assumptions, Learning Plan | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | AssumptionsRiskDecisionDiscovery | ArchitectureEngineeringFeedbackValidationTasks | OntologyPatternsReuseSemanticModeling | OntologyMethodologyReuseSemanticEngineering |