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| Criterion |  Knowledge Modeling Shape-First Modeling |  Product Discovery Assumption Mapping |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
Purposedifferent | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | 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 | Medium | Medium | High | Medium |
Timedifferent | Halber Tag pro Domain Slice | 45-60 min | Mehrere Wochen bis Monate | Wochen bis Monate |
Participantsdifferent | 1-4 | 2-8 | 2-10 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Assumption map, Test backlog, Risk ranking | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | Knowledge graphValidationSemantic | AssumptionsRiskExperimentsValidation | OntologyMethodologyReuseSemanticEngineering | OntologyMethodologyAgileSemantic |