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| Criterion |  Engineering Golden Path |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
Purposedifferent | When teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate. | 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. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-3 Tage Setup, laufend | 4-8 h initial, dann iterativ | Mehrere Wochen bis Monate | Halber Tag pro Domain Slice |
Participantsdifferent | 2-8 | 1-6 | 2-10 | 1-4 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Golden Path Guide, Templates, Quality Checks | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | EngineeringProductivityGovernance | Knowledge graphModelingSemantic | OntologyMethodologyReuseSemanticEngineering | Knowledge graphValidationSemantic |