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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Decision Making OODA Loop |  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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. | 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 |
Timedifferent | 4-8 h initial, dann iterativ | 15-60 min je Zyklus | 1-3 h pro Pattern |
Participantsdifferent | 1-6 | 1-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Situation Assessment, Decision Loop, Action Updates | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | Knowledge graphModelingSemantic | DecisionChangeLearningStrategy | OntologyPatternsReuseSemanticModeling |
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