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