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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Facilitation Decision Jam |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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 a decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 4-8 h initial, dann iterativ | 60-90 min | 1-3 h pro Pattern | 2-4 h |
Participantsdifferent | 1-6 | 4-10 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Problem Cluster, Prioritized Challenge, Experiment | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphModelingSemantic | FacilitationDecisionProblem solvingWorkshop | OntologyPatternsReuseSemanticModeling | OntologyKnowledge graphScopeRequirementsSemantic |