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| Criterion |  Innovation Lean Startup |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | The NeOn Methodology structures ontology work as a controlled process with reuse, scenarios, and reviews. It is useful when ontologies should not emerge ad hoc but modularly and reusably. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | Wochen bis Monate je Lernzyklus | Halber Tag pro Domain Slice | Mehrere Wochen bis Monate | 1-3 h pro Pattern |
Participantsdifferent | 2-8 | 1-4 | 2-10 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | LeanStartupValidationMVP | Knowledge graphValidationSemantic | OntologyMethodologyReuseSemanticEngineering | OntologyPatternsReuseSemanticModeling |