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| Criterion |  Systems Thinking Evaporating Cloud |  Product Strategy DIBB |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 60-120 min | 1-2 h | Mehrere Wochen bis Monate | 1-3 h pro Pattern |
Participantsdifferent | 2-8 | 2-8 | 2-10 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | Theory of ConstraintsAssumptionsSystems thinking | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyReuseSemanticEngineering | OntologyPatternsReuseSemanticModeling |