As volumes of content and information management needs have grown, so has the interest and need in taxonomies. Taxonomies are controlled and structured lists of terms used to tag content so that it can easily be retrieved. Taxonomies can be found in library research databases, ecommerce websites, enterprise content management systems, intranets of organizations, and many other areas. While information management technologies have expanded in areas of artificial intelligence and machine learning as applied to text analytics and text mining, the value of taxonomies has not decreased, but, in fact, has increased.

Functional Uses of Taxonomies
Taxonomies serve as an intermediary to connect users to content, whereby the taxonomies are tagged to content at the back end (whether manually or by auto-tagging technologies based on natural language processing or machine learning) and are interacted with by users at the front end. There are different ways that taxonomies may serve end users. Digital information taxonomies were originally created only for information retrieval, but innovations and trends in digital content and data have given rise to additional uses for taxonomies, such as to support recommendation, personalization, data-centric enterprise knowledge management, voice-of-the-customer analysis, chatbot design, etc.

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