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| Criterion |  Knowledge Modeling Linked Open Terms |  Product Discovery Smoke Test |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. | 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 | Low | Medium | High |
Timedifferent | Wochen bis Monate | 1-5 Tage | Halber Tag pro Domain Slice | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | Nutzertraffic | 1-4 | 2-10 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Interest Metrics, Conversion Signal, Learning Note | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | OntologyMethodologyAgileSemantic | ValidationExperimentsDemandGrowth | Knowledge graphValidationSemantic | OntologyMethodologyReuseSemanticEngineering |