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| Criterion |  Product Strategy DIBB |  Knowledge Modeling NeOn Methodology |  Agile Example Mapping |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. | When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. | 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 | Low | High | Low | Medium |
Timedifferent | 1-2 h | Mehrere Wochen bis Monate | 30-60 min | 1-3 h pro Pattern |
Participantsdifferent | 2-8 | 2-10 | 3-7 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Example Map, Acceptance Criteria, Open Questions | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyReuseSemanticEngineering | Behavior-Driven DevelopmentRequirementsExamplesRefinement | OntologyPatternsReuseSemanticModeling |