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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Linked Open Terms |  Agile Specification by Example |  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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | 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 | Medium | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | Wochen bis Monate | 60-90 min pro Feature | Mehrere Wochen bis Monate |
Participantsdifferent | 1-4 | 2-8 | 3-6 | 2-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Example Table, Acceptance Tests | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | Knowledge graphValidationSemantic | OntologyMethodologyAgileSemantic | AgileRequirementsExamplesBehavior-Driven Development | OntologyMethodologyReuseSemanticEngineering |