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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Decision Making Argument Mapping |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
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. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | The NeOn Methodology structures ontology work as a controlled process with reuse, scenarios, and reviews. It is useful when ontologies should not emerge ad hoc but modularly and reusably. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 4-8 h initial, dann iterativ | 1-3 h | 1-3 h pro Pattern | Mehrere Wochen bis Monate |
Participantsdifferent | 1-6 | 1-8 | 1-6 | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Argument Map, Evidence Gaps, Decision Rationale | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | Knowledge graphModelingSemantic | SensemakingDecisionRationale | OntologyPatternsReuseSemanticModeling | OntologyMethodologyReuseSemanticEngineering |