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Criterion
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
Paper illustration of NeOn Methodology with its method-specific working model.
Knowledge Modeling
NeOn Methodology
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting.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.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.
Complexitydifferent
MediumLowHighMedium
Timedifferent
Halber Tag pro Domain Slice30 min Setup, dann laufendMehrere Wochen bis Monate2–4 h review as a planning range; preparation and evaluation additional
Participantsdifferent
1-41-3 maintaining, briefing for everyone2-10Designers, developers as users, and facilitation
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationRAID Log, Status Report SourceOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation ReportPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions
Tagsno overlap
Knowledge graphValidationSemantic
RiskTrackingStakeholdersGovernance
OntologyMethodologyReuseSemanticEngineering
ArchitectureEngineeringFeedbackValidationTasks
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