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| Criterion |  Decision Making Delphi Method |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling NeOn Methodology |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about 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. | 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. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 1-4 Wochen | 4-8 h initial, dann iterativ | Mehrere Wochen bis Monate | 1-2 h |
Participantsdifferent | 6-30 Experten | 1-6 | 2-10 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | Knowledge graphModelingSemantic | OntologyMethodologyReuseSemanticEngineering | StrategyDecisionAssumptionsHypothesis |