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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Innovation Lean Startup |  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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 4-8 h initial, dann iterativ | Wochen bis Monate je Lernzyklus | 2-4 h | 1-3 h pro Pattern |
Participantsdifferent | 1-6 | 2-8 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | Knowledge graphModelingSemantic | LeanStartupValidationMVP | OntologyKnowledge graphScopeRequirementsSemantic | OntologyPatternsReuseSemanticModeling |