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Criterion
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)
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration of Linked Open Terms with its method-specific working model.
Knowledge Modeling
Linked Open Terms
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.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.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.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
HighMediumHighMedium
Timedifferent
Mehrere Wochen bis Monate2–4 h review as a planning range; preparation and evaluation additionalSeveral meetings plus preparation and analysis; total effort depends on scopeWochen bis Monate
Participantsdifferent
2-10Designers, developers as users, and facilitationEvaluation team, architects, and relevant stakeholders2-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation ReportPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsOntology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan
Tagsno overlap
OntologyMethodologyReuseSemanticEngineering
ArchitectureEngineeringFeedbackValidationTasks
ArchitectureQualityRiskTradeoffsStakeholders
OntologyMethodologyAgileSemantic
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