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| Criterion |  Product Strategy DIBB |  Knowledge Modeling NeOn Methodology |  Business Strategy Value Chain Analysis |  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. | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever list. | 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 | High | Medium |
Timedifferent | 1-2 h | Mehrere Wochen bis Monate | Half day | 1-3 h pro Pattern |
Participantsdifferent | 2-8 | 2-10 | 3-8 | 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 | Value Chain Map, Lever List | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyReuseSemanticEngineering | StrategyBusiness modelDiagnosisAnalysis | OntologyPatternsReuseSemanticModeling |