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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling NeOn Methodology |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 1-2 h | 1-3 h pro Pattern | Mehrere Wochen bis Monate | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-6 | 2-10 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | 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 | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyPatternsReuseSemanticModeling | OntologyMethodologyReuseSemanticEngineering | ForecastingExpertsDecisionStrategy |