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Criterion
Paper illustration of Linked Open Terms with its method-specific working model.
Knowledge Modeling
Linked Open Terms
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration of NeOn Methodology with its method-specific working model.
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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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
MediumMediumMediumHigh
Timedifferent
Wochen bis Monate45-60 minWochen bis Monate je LernzyklusMehrere Wochen bis Monate
Participantsdifferent
2-82-82-82-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance PlanAssumption map, Test backlog, Risk rankingHypothesis list, MVPs, Learning reports, Pivot or persevere decisionOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report
Tagsno overlap
OntologyMethodologyAgileSemantic
AssumptionsRiskExperimentsValidation
LeanStartupValidationMVP
OntologyMethodologyReuseSemanticEngineering
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