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| Criterion | ![]() Product Strategy DIBB | ![]() Knowledge Modeling Linked Open Terms | ![]() 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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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 | Wochen bis Monate | Half day | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | 2-8 | 3-8 | 2-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Value Chain Map, Lever List | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyAgileSemantic | StrategyBusiness modelDiagnosisAnalysis | OntologyMethodologyReuseSemanticEngineering |



