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| Criterion |  Knowledge Modeling Linked Open Terms |  Operations Causal Factor Analysis |  Knowledge Modeling Competency Questions |  Operations 5 Whys |
|---|---|---|---|---|
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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | Wochen bis Monate | 2-6 h | 2-4 h | 15-30 min |
Participantsdifferent | 2-8 | 3-10 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Root cause notes, Countermeasures |
Tagsno overlap | OntologyMethodologyAgileSemantic | CausalityIncidentRoot causeTimeline | OntologyKnowledge graphScopeRequirementsSemantic | Root causeIncidentLeanProblem solving |