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| Criterion |  Knowledge Modeling Linked Open Terms |  Product Discovery Hypothesis Prioritization Canvas |  Knowledge Modeling Ontology Design Patterns |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | Wochen bis Monate | 60-90 min | 1-3 h pro Pattern | 30-60 min |
Participantsdifferent | 2-8 | 3-8 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Prioritization Canvas, Hypothesis Backlog | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Completed Experiment Canvas, Success Metric |
Tagsno overlap | OntologyMethodologyAgileSemantic | ExperimentsPrioritizationDiscoveryHypothesis | OntologyPatternsReuseSemanticModeling | ExperimentsValidationDiscoveryHypothesis |