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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Competency Questions |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-3 h | 2-4 h | Wochen bis Monate |
Participantsdifferent | 1-4 | 3-12 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | Knowledge graphValidationSemantic | KnowledgeMappingRisk | OntologyKnowledge graphScopeRequirementsSemantic | OntologyMethodologyAgileSemantic |