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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling NeOn Methodology |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 1-2 h | 1-3 h pro Pattern | Mehrere Wochen bis Monate | 45-90 min |
Participantsdifferent | 2-8 | 1-6 | 2-10 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyPatternsReuseSemanticModeling | OntologyMethodologyReuseSemanticEngineering | AssumptionsRiskDecisionDiscovery |