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Criterion
Paper illustration of NeOn Methodology with its method-specific working model.
Knowledge Modeling
NeOn Methodology
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration of Ontology Design Patterns with its method-specific working model.
Knowledge Modeling
Ontology Design Patterns
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Purposedifferent
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.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.Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles.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
HighHighMediumMedium
Timedifferent
Mehrere Wochen bis MonateSeveral meetings plus preparation and analysis; total effort depends on scope1-3 h pro Pattern2–4 h review as a planning range; preparation and evaluation additional
Participantsdifferent
2-10Evaluation team, architects, and relevant stakeholders1-6Designers, developers as users, and facilitation
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation ReportPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsSelected Patterns, Adapted Schema Fragments, Pattern DocumentationPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions
Tagsno overlap
OntologyMethodologyReuseSemanticEngineering
ArchitectureQualityRiskTradeoffsStakeholders
OntologyPatternsReuseSemanticModeling
ArchitectureEngineeringFeedbackValidationTasks
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