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Criterion
Paper illustration of Linked Open Terms with its method-specific working model.
Knowledge Modeling
Linked Open Terms
Paper illustration of Request for Comments (RFC) with its method-specific working model.
Architecture
Request for Comments
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Purposedifferent
Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently.An RFC clarifies architecture context, options, and consequences. It structures technical context, alternatives, tradeoffs, open questions, and review feedback, and captures the result as an RFC document, reviewer comments, and a decision rationale.An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable.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.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
Wochen bis Monate1-3 Wochen vom Draft bis zur Entscheidung15-45 min2-4 h
Participantsdifferent
2-83-20 Reviewer1-32-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance PlanRFC document, Reviewer comments, Decision rationale, Follow-up ADR or ticketsADR File, Decision Log, RationaleCompetency Question Set, Required Concepts, Test Queries, Coverage Matrix
Tagsno overlap
OntologyMethodologyAgileSemantic
ArchitectureDecisionAsyncGovernance
ArchitectureRationaleDocumentationGovernance
OntologyKnowledge graphScopeRequirementsSemantic
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