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| Criterion |  Knowledge Modeling Shape-First Modeling |  Systems Thinking Evaporating Cloud |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | Halber Tag pro Domain Slice | 60-120 min | Mehrere Wochen bis Monate | 1-3 h pro Pattern |
Participantsdifferent | 1-4 | 2-8 | 2-10 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | Knowledge graphValidationSemantic | Theory of ConstraintsAssumptionsSystems thinking | OntologyMethodologyReuseSemanticEngineering | OntologyPatternsReuseSemanticModeling |