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Selected:Linked Open TermsATAM (Architecture Tradeoff Analysis Method)Fishbone DiagramNeOn Methodology
| Criterion |  Knowledge Modeling Linked Open Terms |  Architecture ATAM (Architecture Tradeoff Analysis Method) |  Operations Fishbone Diagram |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
Purposedifferent | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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. | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | 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 | Medium | High | Low | High |
Timedifferent | Wochen bis Monate | Several meetings plus preparation and analysis; total effort depends on scope | 30-60 min | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | Evaluation team, architects, and relevant stakeholders | 2-8 | 2-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations | Fishbone Diagram, Cause Categories, Investigation Backlog | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | OntologyMethodologyAgileSemantic | ArchitectureQualityRiskTradeoffsStakeholders | Root causeQualityOperations | OntologyMethodologyReuseSemanticEngineering |