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| Criterion |  Product Strategy DIBB |  Decision Making Delphi Method |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
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. | 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. | 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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. |
Complexitydifferent | Low | High | High | Medium |
Timedifferent | 1-2 h | 1-4 Wochen | Mehrere Wochen bis Monate | Wochen bis Monate |
Participantsdifferent | 2-8 | 6-30 Experten | 2-10 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy | OntologyMethodologyReuseSemanticEngineering | OntologyMethodologyAgileSemantic |