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| Criterion |  Knowledge Modeling Linked Open Terms |  Systems Thinking Evaporating Cloud |  Product Strategy DIBB |  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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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 | Medium | Low | High |
Timedifferent | Wochen bis Monate | 60-120 min | 1-2 h | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 2-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | OntologyMethodologyAgileSemantic | Theory of ConstraintsAssumptionsSystems thinking | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyReuseSemanticEngineering |