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| Criterion |  Knowledge Modeling Competency Questions |  Knowledge Modeling NeOn Methodology |  Business Strategy 5-Minuten VC-Check |  Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | The 5-Minute VC Check clarifies opportunities and strategic options at the earliest idea stage. It compares problem quality, customer willingness to pay, alternatives, differentiation, and market potential, and captures the result as a VC-check note, go/sharpen/park decision, and risk list. | 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 | Medium | High | Low | Medium |
Timedifferent | 2-4 h | Mehrere Wochen bis Monate | 5-15 min | Halber Tag pro Domain Slice |
Participantsdifferent | 2-8 | 2-10 | 1-5 | 1-4 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | VC-check note, Go/sharpen/park decision, Risk and assumption list, Next validation step | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | OntologyMethodologyReuseSemanticEngineering | StartupValidationCompetition | Knowledge graphValidationSemantic |