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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Decision Making Delphi Method |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | 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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 4-8 h initial, dann iterativ | 1-4 Wochen | Mehrere Wochen bis Monate | 1-3 h pro Pattern |
Participantsdifferent | 1-6 | 6-30 Experten | 2-10 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Expert Forecast, Consensus Range, Assumption Notes | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | Knowledge graphModelingSemantic | ForecastingExpertsDecisionStrategy | OntologyMethodologyReuseSemanticEngineering | OntologyPatternsReuseSemanticModeling |