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| Criterion |  Knowledge Modeling NeOn Methodology |  Product Discovery Fake Door Test |  Product Discovery Riskiest Assumption Test |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
Purposedifferent | 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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 | Medium | Medium | Medium |
Timedifferent | Mehrere Wochen bis Monate | 1-5 Tage | 1-2 Wochen pro Iteration | Wochen bis Monate |
Participantsdifferent | 2-10 | Nutzertraffic | 2-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Click Data, Interest Signal, Learning Decision | Prioritized Assumption List, Test Plan, Results Report | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryAssumptions | OntologyMethodologyAgileSemantic |