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| Criterion |  Knowledge Modeling Shape-First Modeling |  Delivery RAID Log |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | 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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | Halber Tag pro Domain Slice | 30 min Setup, dann laufend | Mehrere Wochen bis Monate | 1-3 h pro Pattern |
Participantsdifferent | 1-4 | 1-3 maintaining, briefing for everyone | 2-10 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | RAID Log, Status Report Source | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | Knowledge graphValidationSemantic | RiskTrackingStakeholdersGovernance | OntologyMethodologyReuseSemanticEngineering | OntologyPatternsReuseSemanticModeling |