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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Decision Making Delphi Method |  Product Strategy DIBB |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 4-8 h initial, dann iterativ | 1-4 Wochen | 1-2 h | 1-3 h pro Pattern |
Participantsdifferent | 1-6 | 6-30 Experten | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | Knowledge graphModelingSemantic | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | OntologyPatternsReuseSemanticModeling |