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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling Event Modeling |  Knowledge Modeling Ontology Design Patterns |  Domain Modeling EventStorming |
|---|---|---|---|---|
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. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 4-8 h initial, dann iterativ | 2-6 h | 1-3 h pro Pattern | 2-8 h |
Participantsdifferent | 1-6 | 2-8 | 1-6 | 5-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Event Model, UI Flow, Commands, Read Models | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | Knowledge graphModelingSemantic | EventsBlueprintDomain-Driven DesignBehavior | OntologyPatternsReuseSemanticModeling | Domain-Driven DesignEventsDiscoveryWorkshop |