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| Criterion |  Knowledge Modeling Linked Open Terms |  Systems Thinking Leverage Points |  Knowledge Modeling Competency Questions |  Systems Thinking Future Reality Tree |
|---|---|---|---|---|
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. | 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. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | Wochen bis Monate | Half day | 2-4 h | 2-4 h |
Participantsdifferent | 2-8 | 3-12 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Leverage Map, Action Strategy | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | OntologyMethodologyAgileSemantic | Systems thinkingChangeStrategy | OntologyKnowledge graphScopeRequirementsSemantic | Theory of ConstraintsSystems thinkingChange |