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| Criterion |  Knowledge Modeling Competency Questions |  Operations ALPEN Method |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | 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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 2-4 h | 10-20 min daily | Halber Tag pro Domain Slice | 1-3 h pro Pattern |
Participantsdifferent | 2-8 | 1 | 1-4 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Daily Plan, Time Estimates, Review Notes | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | PlanningTime managementProductivityOperations | Knowledge graphValidationSemantic | OntologyPatternsReuseSemanticModeling |