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| Criterion | ![]() Decision Making OODA Loop | ![]() Knowledge Modeling Property Graph Schema Design | ![]() Knowledge Modeling Ontology Design Patterns | ![]() Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | In dynamic situations, decisions become outdated faster than they can be prepared.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. | 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. | 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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 15-60 min je Zyklus | 4-8 h initial, dann iterativ | 1-3 h pro Pattern | 1-4 Wochen |
Participantsdifferent | 1-8 | 1-6 | 1-6 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Situation Assessment, Decision Loop, Action Updates | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | DecisionChangeLearningStrategy | Knowledge graphModelingSemantic | OntologyPatternsReuseSemanticModeling | ForecastingExpertsDecisionStrategy |



