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| Criterion |  Knowledge Modeling Linked Open Terms |  Product Strategy DIBB |  Agile Example Mapping |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
Purposedifferent | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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. | 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. | 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 | Medium | Low | Low | High |
Timedifferent | Wochen bis Monate | 1-2 h | 30-60 min | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | 2-8 | 3-7 | 2-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | DIBB document, Belief list, Bet list, Learning report | Example Map, Acceptance Criteria, Open Questions | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | OntologyMethodologyAgileSemantic | StrategyDecisionAssumptionsHypothesis | Behavior-Driven DevelopmentRequirementsExamplesRefinement | OntologyMethodologyReuseSemanticEngineering |