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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Linked Open Terms |  Knowledge Modeling Ontology Design Patterns |  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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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 | Medium | High |
Timedifferent | 1-2 h | Wochen bis Monate | 1-3 h pro Pattern | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 1-6 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyAgileSemantic | OntologyPatternsReuseSemanticModeling | ForecastingExpertsDecisionStrategy |