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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Operations Kaizen Event |  Knowledge Modeling Ontology Design Patterns |  Operations Gemba Walk |
|---|---|---|---|---|
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. | For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments. | 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 there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 4-8 h initial, dann iterativ | 0.5-5 Tage | 1-3 h pro Pattern | 30-120 min |
Participantsdifferent | 1-6 | 4-10 | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Observation Notes, Improvement Ideas |
Tagsno overlap | Knowledge graphModelingSemantic | LeanContinuous improvementOperations | OntologyPatternsReuseSemanticModeling | LeanObservationProcessOperations |