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| Criterion |  Product Discovery Smoke Test |  Knowledge Modeling Linked Open Terms |  Knowledge Modeling Competency Questions |  Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
Purposedifferent | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 1-5 Tage | Wochen bis Monate | 2-4 h | Halber Tag pro Domain Slice |
Participantsdifferent | Nutzertraffic | 2-8 | 2-8 | 1-4 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | ValidationExperimentsDemandGrowth | OntologyMethodologyAgileSemantic | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphValidationSemantic |