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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Delphi Method |  Knowledge Modeling Linked Open Terms |  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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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 | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 1-4 Wochen | Wochen bis Monate | Mehrere Wochen bis Monate |
Participantsdifferent | 1-4 | 6-30 Experten | 2-8 | 2-10 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Expert Forecast, Consensus Range, Assumption Notes | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | Knowledge graphValidationSemantic | ForecastingExpertsDecisionStrategy | OntologyMethodologyAgileSemantic | OntologyMethodologyReuseSemanticEngineering |