Controlled vocabularies, taxonomies, and 2025

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Concepts can be generic or specific and may even include named entities (unique proper nouns). Taxonomies do not differentiate between generic concepts and named entities, which correspond to individuals in an ontology. Ontologies, on the other hand, distinguish between two types of entities: classes and individuals.
Taxonomies are used to organize data into categories that make sense for the specific organization. Ontologies are used to create a shared understanding of the data within an organization, and controlled vocabularies are used to ensure that data is described consistently.
Glossaries are about vocabulary, taxonomies are about organization, and ontologies are about understanding. We need all three: clear definitions of key terms, structured frameworks for organizing concepts, and deeper insight into how everything connects and functions together.
A taxonomy is typically a controlled vocabulary with a hierarchical structure, with the understanding that there are different definitions of a hierarchy.
These ontological approaches of knowing, perceiving and interpreting the world are generally lumped into four distinct categories: realism, empiricism, positivism and post-modernism. Realism concerns itself with the notion that there are universal truths and facts which can be discovered through active exploration.
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Common types of controlled vocabularies include term lists, authority files, and thesauri. Because controlled vocabularies require the use of predefined terms, they can be challenging to adopt and apply, but using controlled vocabularies during data or metadata creation supports consistency and accuracy.
A vocabulary is made up of multiple terms. A taxonomy is tree-like structure that provides some semantic understanding of the terms it contains. And metadata is the word we use to describe all of it.

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