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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Linked Open Terms |  Knowledge Modeling Competency Questions |  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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | Wochen bis Monate | 2-4 h | 1-3 h pro Pattern |
Participantsdifferent | 1-4 | 2-8 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tags1 shared | Knowledge graphValidationSemantic | OntologyMethodologyAgileSemantic | OntologyKnowledge graphScopeRequirementsSemantic | OntologyPatternsReuseSemanticModeling |