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| Criterion |  Knowledge Modeling Competency Questions |  Product Strategy DIBB |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling Property Graph Schema Design |
|---|---|---|---|---|
Purposedifferent | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | 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. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 2-4 h | 1-2 h | 1-3 h pro Pattern | 4-8 h initial, dann iterativ |
Participantsdifferent | 2-8 | 2-8 | 1-6 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | DIBB document, Belief list, Bet list, Learning report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | StrategyDecisionAssumptionsHypothesis | OntologyPatternsReuseSemanticModeling | Knowledge graphModelingSemantic |