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| Criterion |  Knowledge Modeling Competency Questions |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Linked Open Terms |  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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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 | Medium | Medium |
Timedifferent | 2-4 h | Mehrere Wochen bis Monate | Wochen bis Monate | Halber Tag pro Domain Slice |
Participantsdifferent | 2-8 | 2-10 | 2-8 | 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 | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tags1 shared | OntologyKnowledge graphScopeRequirementsSemantic | OntologyMethodologyReuseSemanticEngineering | OntologyMethodologyAgileSemantic | Knowledge graphValidationSemantic |