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| Criterion |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling Property Graph Schema Design |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | Mehrere Wochen bis Monate | 1-3 h | 1-3 h pro Pattern | 4-8 h initial, dann iterativ |
Participantsdifferent | 2-10 | 3-12 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | KnowledgeMappingRisk | OntologyPatternsReuseSemanticModeling | Knowledge graphModelingSemantic |