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Selected:Competency QuestionsProperty Graph Schema DesignARID (Active Reviews for Intermediate Designs)NeOn Methodology
| Criterion |  Knowledge Modeling Competency Questions |  Knowledge Modeling Property Graph Schema Design |  Architecture ARID (Active Reviews for Intermediate Designs) |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
Purposedifferent | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | 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. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | 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 | Medium | Medium | Medium | High |
Timedifferent | 2-4 h | 4-8 h initial, dann iterativ | 2–4 h review as a planning range; preparation and evaluation additional | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | 1-6 | Designers, developers as users, and facilitation | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphModelingSemantic | ArchitectureEngineeringFeedbackValidationTasks | OntologyMethodologyReuseSemanticEngineering |