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| Criterion | ![]() Knowledge Modeling Shape-First Modeling | ![]() Knowledge Modeling Linked Open Terms | ![]() Systems Thinking Evaporating Cloud | ![]() 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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | Wochen bis Monate | 60-120 min | 2-4 h |
Participantsdifferent | 1-4 | 2-8 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphValidationSemantic | OntologyMethodologyAgileSemantic | Theory of ConstraintsAssumptionsSystems thinking | OntologyKnowledge graphScopeRequirementsSemantic |



