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| Criterion |  Knowledge Modeling Linked Open Terms |  Product Strategy Lean Canvas |  Knowledge Modeling Competency Questions |  Innovation Lean Startup |
|---|---|---|---|---|
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 an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | 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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Wochen bis Monate | 45-90 min | 2-4 h | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Lean Canvas, Core Assumptions, Experiment Backlog | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | OntologyMethodologyAgileSemantic | StartupLeanAssumptionsBusiness model | OntologyKnowledge graphScopeRequirementsSemantic | LeanStartupValidationMVP |