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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Property Graph Schema Design |  Decision Making Argument Mapping |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
Purposedifferent | 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. | 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 statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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 | Halber Tag pro Domain Slice | 4-8 h initial, dann iterativ | 1-3 h | 2-4 h |
Participantsdifferent | 1-4 | 1-6 | 1-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Argument Map, Evidence Gaps, Decision Rationale | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphValidationSemantic | Knowledge graphModelingSemantic | SensemakingDecisionRationale | OntologyKnowledge graphScopeRequirementsSemantic |