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| Criterion |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 1-3 h | Mehrere Wochen bis Monate | 4-8 h initial, dann iterativ | Wochen bis Monate |
Participantsdifferent | 3-12 | 2-10 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | KnowledgeMappingRisk | OntologyMethodologyReuseSemanticEngineering | Knowledge graphModelingSemantic | OntologyMethodologyAgileSemantic |