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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Concept Mapping |  Knowledge Modeling Linked Open Terms |  Knowledge Modeling Knowledge Mapping |
|---|---|---|---|---|
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. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-2 h | Wochen bis Monate | 1-3 h |
Participantsdifferent | 1-4 | 1-8 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Concept Map, Relationship Labels, Knowledge Gaps | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Knowledge Map, Critical Knowledge Areas, Transfer Plan |
Tagsno overlap | Knowledge graphValidationSemantic | KnowledgeConceptsMappingSensemaking | OntologyMethodologyAgileSemantic | KnowledgeMappingRisk |