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Criterion
Paper illustration of Ontology Design Patterns with its method-specific working model.
Knowledge Modeling
Ontology Design Patterns
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of NeOn Methodology with its method-specific working model.
Knowledge Modeling
NeOn Methodology
Purposedifferent
Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.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
MediumMediumMediumHigh
Timedifferent
1-3 h pro Pattern45-60 min2–4 h review as a planning range; preparation and evaluation additionalMehrere Wochen bis Monate
Participantsdifferent
1-62-8Designers, developers as users, and facilitation2-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Selected Patterns, Adapted Schema Fragments, Pattern DocumentationAssumption map, Test backlog, Risk rankingPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report
Tagsno overlap
OntologyPatternsReuseSemanticModeling
AssumptionsRiskExperimentsValidation
ArchitectureEngineeringFeedbackValidationTasks
OntologyMethodologyReuseSemanticEngineering
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