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| Criterion |  Knowledge Modeling Competency Questions |  Innovation Lean Startup |  Knowledge Modeling Linked Open Terms |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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 | Medium | High |
Timedifferent | 2-4 h | Wochen bis Monate je Lernzyklus | Wochen bis Monate | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | LeanStartupValidationMVP | OntologyMethodologyAgileSemantic | OntologyMethodologyReuseSemanticEngineering |