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| Criterion |  Knowledge Modeling Competency Questions |  Systems Thinking Leverage Points |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 2-4 h | Half day | Halber Tag pro Domain Slice | Wochen bis Monate |
Participantsdifferent | 2-8 | 3-12 | 1-4 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Leverage Map, Action Strategy | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | Systems thinkingChangeStrategy | Knowledge graphValidationSemantic | OntologyMethodologyAgileSemantic |