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| Criterion |  Knowledge Modeling Concept Mapping |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 h | 4-8 h initial, dann iterativ | Halber Tag pro Domain Slice | 2-4 h |
Participantsdifferent | 1-8 | 1-6 | 1-4 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | Knowledge graphModelingSemantic | Knowledge graphValidationSemantic | OntologyKnowledge graphScopeRequirementsSemantic |