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Lesson 3 — Controlled Vocabularies & Semantic Structure

A controlled vocabulary is a governed set/structure of allowed terms used to classify, tag, browse, sort and retrieve information. Chapter 9 treats it as both Reference Data (managed values) and Metadata (values used to describe other information).

The high-yield family

Form Deciding clue
Term / pick list Allowed values; few or no explicit relationships
Vocabulary view A subset of a larger vocabulary for one audience/topic
Micro-controlled vocabulary Enterprise-aligned subset plus governed specialist extensions
Synonym ring Equivalent terms treated equally for retrieval
Authority list One preferred term; variants redirect to it
Taxonomy Controlled classification/hierarchy/facets
Thesaurus Equivalent + hierarchical + associative relationships
Ontology Rich semantic domain model: classes/concepts, instances, attributes, relations, events

Relationship clues

  • Equivalent: same/synonymous meaning.
  • Hierarchical: broader/narrower or whole/part.
  • Related/associative: meaningful association that is neither equivalent nor hierarchical.

Synonym Ring vs Authority List

If “doctor,” “physician” and “MD” should all work equally → Synonym Ring.
If Physician is the approved label and the others redirect to it → Authority List.

Taxonomy vs Thesaurus vs Ontology

Use Taxonomy when classification/browsing is the need.
Use Thesaurus when broader/narrower, equivalent and related relationships matter.
Use Ontology when the domain itself must be represented with richer machine-interpretable semantics.

Folksonomy

A folksonomy is bottom-up social tagging. It can reveal user language and inform vocabulary design, but it is not automatically an approved enterprise vocabulary.

Alignment principle

Content vocabularies should align where practical with enterprise conceptual definitions. If a content taxonomy defines “Supplier” differently from enterprise data models, structured/unstructured integration becomes harder.

Source: pp. 293–295.

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