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| Criterion |  Knowledge Modeling NeOn Methodology |  Engineering Fault Isolation |  Engineering Hypothesis-Driven Troubleshooting |
|---|---|---|---|
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. | In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | Mehrere Wochen bis Monate | 30-180 min | 30-240 min |
Participantsdifferent | 2-10 | 1-6 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | TroubleshootingDiagnosisEngineering | TroubleshootingProblem solvingDiagnosis |
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