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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Growth A/B Testing |  Knowledge Modeling Competency Questions |  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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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. | 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 | Medium | Medium |
Timedifferent | 4-8 h initial, dann iterativ | 1-4 Wochen | 2-4 h | 1-3 h pro Pattern |
Participantsdifferent | 1-6 | 1-6 | 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 | Experiment results, Decision log, Learning summary | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | Knowledge graphModelingSemantic | ExperimentsGrowthAnalyticsValidation | OntologyKnowledge graphScopeRequirementsSemantic | OntologyPatternsReuseSemanticModeling |