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Criterion
Paper illustration of NeOn Methodology with its method-specific working model.
Knowledge Modeling
NeOn Methodology
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper illustration of Five-Minute VC Check with its method-specific working model.
Business Strategy
5-Minuten VC-Check
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
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.Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start.The 5-Minute VC Check clarifies opportunities and strategic options at the earliest idea stage. It compares problem quality, customer willingness to pay, alternatives, differentiation, and market potential, and captures the result as a VC-check note, go/sharpen/park decision, and risk list.Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures.
Complexitydifferent
HighMediumLowMedium
Timedifferent
Mehrere Wochen bis MonateHalber Tag pro Domain Slice5-15 min2-4 h
Participantsdifferent
2-101-41-52-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation ReportSHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationVC-check note, Go/sharpen/park decision, Risk and assumption list, Next validation stepCompetency Question Set, Required Concepts, Test Queries, Coverage Matrix
Tagsno overlap
OntologyMethodologyReuseSemanticEngineering
Knowledge graphValidationSemantic
StartupValidationCompetition
OntologyKnowledge graphScopeRequirementsSemantic
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