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| Criterion |  Systems Thinking Leverage Points |  Product Strategy DIBB |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
Purposedifferent | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | Half day | 1-2 h | Mehrere Wochen bis Monate | Wochen bis Monate |
Participantsdifferent | 3-12 | 2-8 | 2-10 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | Systems thinkingChangeStrategy | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyReuseSemanticEngineering | OntologyMethodologyAgileSemantic |