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| Criterion |  Knowledge Modeling Linked Open Terms |  Knowledge Modeling Ontology Design Patterns |  Innovation Lean Startup |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
Purposedifferent | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Wochen bis Monate | 1-3 h pro Pattern | Wochen bis Monate je Lernzyklus | 2-4 h |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | OntologyMethodologyAgileSemantic | OntologyPatternsReuseSemanticModeling | LeanStartupValidationMVP | OntologyKnowledge graphScopeRequirementsSemantic |