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| Criterion | ![]() Decision Making OODA Loop | ![]() Knowledge Modeling Ontology Design Patterns | ![]() Knowledge Modeling Property Graph Schema Design | ![]() 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Purposedifferent | In dynamic situations, decisions become outdated faster than they can be prepared.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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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 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 | 1-3 h pro Pattern | 4-8 h initial, dann iterativ | 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 | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | DecisionChangeLearningStrategy | OntologyPatternsReuseSemanticModeling | Knowledge graphModelingSemantic | ForecastingExpertsDecisionStrategy |



