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Criterion
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of NeOn Methodology with its method-specific working model.
Knowledge Modeling
NeOn Methodology
Paper illustration of Linked Open Terms with its method-specific working model.
Knowledge Modeling
Linked Open Terms
Purposedifferent
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.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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.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
MediumHighHighMedium
Timedifferent
Halber Tag pro Domain Slice1-4 WochenMehrere Wochen bis MonateWochen bis Monate
Participantsdifferent
1-46-30 Experten2-102-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationExpert Forecast, Consensus Range, Assumption NotesOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation ReportOntology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan
Tagsno overlap
Knowledge graphValidationSemantic
ForecastingExpertsDecisionStrategy
OntologyMethodologyReuseSemanticEngineering
OntologyMethodologyAgileSemantic
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