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Criterion
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper illustration of NeOn Methodology with its method-specific working model.
Knowledge Modeling
NeOn Methodology
Purposedifferent
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.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.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 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
2–4 h review as a planning range; preparation and evaluation additional2-4 hHalber Tag pro Domain SliceMehrere Wochen bis Monate
Participantsdifferent
Designers, developers as users, and facilitation2-81-42-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsCompetency Question Set, Required Concepts, Test Queries, Coverage MatrixSHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
OntologyKnowledge graphScopeRequirementsSemantic
Knowledge graphValidationSemantic
OntologyMethodologyReuseSemanticEngineering
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