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| Criterion |  Knowledge Modeling Competency Questions |  Agile Example Mapping |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
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. | When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. | 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 | 2-4 h | 30-60 min | Halber Tag pro Domain Slice | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | 3-7 | 1-4 | 2-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Example Map, Acceptance Criteria, Open Questions | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | Behavior-Driven DevelopmentRequirementsExamplesRefinement | Knowledge graphValidationSemantic | OntologyMethodologyReuseSemanticEngineering |