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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling IBIS |  Knowledge Modeling Competency Questions |  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. | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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. | 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 | 1-3 h | 2-4 h | Mehrere Wochen bis Monate |
Participantsdifferent | 1-4 | 2-8 | 2-8 | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Issue Map, Positions, Argument Notes | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | Knowledge graphValidationSemantic | RationaleKnowledgeDecision | OntologyKnowledge graphScopeRequirementsSemantic | OntologyMethodologyReuseSemanticEngineering |