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Selected:NeOn MethodologyARID (Active Reviews for Intermediate Designs)Shape-First ModelingProperty Graph Schema Design
| Criterion | ![]() Knowledge Modeling NeOn Methodology | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Knowledge Modeling Shape-First Modeling | ![]() 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. | 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. | 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. | 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 | 2–4 h review as a planning range; preparation and evaluation additional | Halber Tag pro Domain Slice | 4-8 h initial, dann iterativ |
Participantsdifferent | 2-10 | Designers, developers as users, and facilitation | 1-4 | 1-6 |
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 | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | ArchitectureEngineeringFeedbackValidationTasks | Knowledge graphValidationSemantic | Knowledge graphModelingSemantic |



