Taxonomies are often viewed as hierarchical structures like family trees, but relying solely on hierarchy limits their effectiveness for advanced content management and data analytics. To unlock greater value, organizations can adopt SKOS, a standard that enhances taxonomies by making them both human- and machine-readable. SKOS, recommended by the World Wide Web Consortium, provides structured relationships and patterns that support better organization, conceptual clarity, and reasoning. This enables improved interoperability and helps technologies like large language models more accurately interpret and connect concepts, allowing taxonomies to support more sophisticated search, analysis, and knowledge management capabilities.

Join for free to read