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| Criterion |  Decision Making Argument Mapping |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling Competency Questions |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h | 4-8 h initial, dann iterativ | 2-4 h | Wochen bis Monate |
Participantsdifferent | 1-8 | 1-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Argument Map, Evidence Gaps, Decision Rationale | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | SensemakingDecisionRationale | Knowledge graphModelingSemantic | OntologyKnowledge graphScopeRequirementsSemantic | OntologyMethodologyAgileSemantic |