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Dimensions
- The organization has one (or many) officially designated glossaries
- Level of review by subject matter experts (SMEs)
- Level of change management including versioning, approval, audit trail
- Level of communication and ready availability
- Terms have a full business definition
- Business definitions also use a vocabulary with cross-references
- Definitions traced to their source with change triggering
- Level of examples including edge case instances, which can expose vagueness or ambiguity
- All terms mapped to an ontology definition
- Level of review by ontology experts
- Level of review by application experts or data experts
- Level of coverage of use cases
- Relationship to official business glossaries or data dictionaries
- Mapping to business models including processes, objectives, key performance indicators (KPIs)
- Segregation of vocabularies by community
- Reuse of glossaries across communities
- Support for different natural languages
- Searchability
- Completeness of reverse mapping from ontologies to in-scope glossary for terms and definitions
- Generation of glossaries from ontologies
- Relationship amongst terms (synonyms, abbreviations)
- Export to alternative representations e.g. web page, spreadsheet
- Managing proper nouns (names of business entities, products etc) and mapping to individuals in the EKG