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| Criterion |  Knowledge Modeling Shape-First Modeling |  Systems Thinking Leverage Points |  Knowledge Modeling Linked Open Terms |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
Purposedifferent | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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 | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | Half day | Wochen bis Monate | Mehrere Wochen bis Monate |
Participantsdifferent | 1-4 | 3-12 | 2-8 | 2-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Leverage Map, Action Strategy | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | Knowledge graphValidationSemantic | Systems thinkingChangeStrategy | OntologyMethodologyAgileSemantic | OntologyMethodologyReuseSemanticEngineering |