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| Criterion |  Decision Making Delphi Method |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | 1-4 Wochen | 1-3 h pro Pattern | 4-8 h initial, dann iterativ | Mehrere Wochen bis Monate |
Participantsdifferent | 6-30 Experten | 1-6 | 1-6 | 2-10 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | OntologyPatternsReuseSemanticModeling | Knowledge graphModelingSemantic | OntologyMethodologyReuseSemanticEngineering |