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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling Competency Questions |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
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. | 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. | 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. | 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 | 4-8 h initial, dann iterativ | 2-4 h | Halber Tag pro Domain Slice | Mehrere Wochen bis Monate |
Participantsdifferent | 1-6 | 2-8 | 1-4 | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tags1 shared | Knowledge graphModelingSemantic | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphValidationSemantic | OntologyMethodologyReuseSemanticEngineering |