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| Criterion |  Product Strategy DIBB |  Decision Making Force Field Analysis |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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 | Low | Medium | High |
Timedifferent | 1-2 h | 45-90 min | 1-3 h pro Pattern | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | 3-12 | 1-6 | 2-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Force Field Map, Change Levers, Risk Notes | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | ChangeDecisionStrategy | OntologyPatternsReuseSemanticModeling | OntologyMethodologyReuseSemanticEngineering |