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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 Ontology Design Patterns with its method-specific working model.
Knowledge Modeling
Ontology Design Patterns
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
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.Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.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 Monate1-3 h pro Pattern1-2 Wochen pro IterationMehrere Wochen bis Monate
Participantsdifferent
2-81-62-62-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance PlanSelected Patterns, Adapted Schema Fragments, Pattern DocumentationPrioritized Assumption List, Test Plan, Results ReportOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report
Tagsno overlap
OntologyMethodologyAgileSemantic
OntologyPatternsReuseSemanticModeling
ExperimentsValidationDiscoveryAssumptions
OntologyMethodologyReuseSemanticEngineering
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