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Selected:NeOn MethodologyARID (Active Reviews for Intermediate Designs)Property Graph Schema DesignShape-First Modeling
| Criterion | ![]() Knowledge Modeling NeOn Methodology | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Knowledge Modeling Property Graph Schema Design | ![]() Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
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. | 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. | 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. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | Mehrere Wochen bis Monate | 2–4 h review as a planning range; preparation and evaluation additional | 4-8 h initial, dann iterativ | Halber Tag pro Domain Slice |
Participantsdifferent | 2-10 | Designers, developers as users, and facilitation | 1-6 | 1-4 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | ArchitectureEngineeringFeedbackValidationTasks | Knowledge graphModelingSemantic | Knowledge graphValidationSemantic |



