View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Knowledge Modeling Competency Questions |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Property Graph Schema Design |
|---|---|---|---|---|
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. | 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. | 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 | Medium | High | Medium | Medium |
Timedifferent | 2-4 h | Mehrere Wochen bis Monate | Halber Tag pro Domain Slice | 4-8 h initial, dann iterativ |
Participantsdifferent | 2-8 | 2-10 | 1-4 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tags1 shared | OntologyKnowledge graphScopeRequirementsSemantic | OntologyMethodologyReuseSemanticEngineering | Knowledge graphValidationSemantic | Knowledge graphModelingSemantic |