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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Ontology Design Patterns |  Business Strategy Value Chain Analysis |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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. | 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. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 1-2 h | 1-3 h pro Pattern | Half day | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | 1-6 | 3-8 | 2-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Value Chain Map, Lever List | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyPatternsReuseSemanticModeling | StrategyBusiness modelDiagnosisAnalysis | OntologyMethodologyReuseSemanticEngineering |