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| Criterion |  Knowledge Modeling Linked Open Terms |  Decision Making Delphi Method |  Product Discovery Hypothesis Prioritization Canvas |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
Purposedifferent | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | Wochen bis Monate | 1-4 Wochen | 60-90 min | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | 6-30 Experten | 3-8 | 2-10 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Expert Forecast, Consensus Range, Assumption Notes | Prioritization Canvas, Hypothesis Backlog | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | OntologyMethodologyAgileSemantic | ForecastingExpertsDecisionStrategy | ExperimentsPrioritizationDiscoveryHypothesis | OntologyMethodologyReuseSemanticEngineering |