View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Knowledge Modeling NeOn Methodology |  Product Discovery Assumption Mapping |  Product Strategy DIBB |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
Purposedifferent | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | Mehrere Wochen bis Monate | 45-60 min | 1-2 h | Wochen bis Monate |
Participantsdifferent | 2-10 | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Assumption map, Test backlog, Risk ranking | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | AssumptionsRiskExperimentsValidation | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyAgileSemantic |