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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 Ontology Design Patterns with its method-specific working model.
Knowledge Modeling
Ontology Design Patterns
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
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.Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.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
MediumMediumHighHigh
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1-3 h pro PatternSeveral meetings plus preparation and analysis; total effort depends on scopeMehrere Wochen bis Monate
Participantsdifferent
Designers, developers as users, and facilitation1-6Evaluation team, architects, and relevant stakeholders2-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsSelected Patterns, Adapted Schema Fragments, Pattern DocumentationPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
OntologyPatternsReuseSemanticModeling
ArchitectureQualityRiskTradeoffsStakeholders
OntologyMethodologyReuseSemanticEngineering
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