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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling Concept Mapping |
|---|---|---|---|---|
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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 4-8 h initial, dann iterativ | 1-3 h | 1-3 h pro Pattern | 1-2 h |
Participantsdifferent | 1-6 | 3-12 | 1-6 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Concept Map, Relationship Labels, Knowledge Gaps |
Tagsno overlap | Knowledge graphModelingSemantic | KnowledgeMappingRisk | OntologyPatternsReuseSemanticModeling | KnowledgeConceptsMappingSensemaking |