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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Ontology Design Patterns |  Architecture arc42 |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | arc42 structures architecture knowledge so teams can document system, decisions, and risks consistently. The template builds a living understanding of the architecture instead of scattered notes. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-3 h pro Pattern | 1-2 Tage | 2-4 h |
Participantsdifferent | 1-4 | 1-6 | 1-4 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Architecture Document, Context View, Runtime View, Deployment View | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphValidationSemantic | OntologyPatternsReuseSemanticModeling | ArchitectureDocumentationCommunication | OntologyKnowledge graphScopeRequirementsSemantic |