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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Delphi Method |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|
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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer 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. |
Complexitydifferent | Medium | High | High |
Timedifferent | Halber Tag pro Domain Slice | 1-4 Wochen | Mehrere Wochen bis Monate |
Participantsdifferent | 1-4 | 6-30 Experten | 2-10 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Expert Forecast, Consensus Range, Assumption Notes | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | Knowledge graphValidationSemantic | ForecastingExpertsDecisionStrategy | OntologyMethodologyReuseSemanticEngineering |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
