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| Criterion |  Knowledge Modeling Shape-First Modeling |  Agile Specification by Example |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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 business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | Halber Tag pro Domain Slice | 60-90 min pro Feature | Mehrere Wochen bis Monate | 2-4 h |
Participantsdifferent | 1-4 | 3-6 | 2-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Example Table, Acceptance Tests | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphValidationSemantic | AgileRequirementsExamplesBehavior-Driven Development | OntologyMethodologyReuseSemanticEngineering | OntologyKnowledge graphScopeRequirementsSemantic |