Multilingual Taxonomies and Knowledge Graphs as a Basis for Semantic AI Applications

The domain of taxonomies and ontologies is to structure and enrich data. This makes the data searchable, findable, usable, and, moreover, the basis for AI applications. Terminology as the "counterpart" is responsible for ensuring that both data and metadata in the company are uniform and thus reusable and linkable. We show how taxonomy and terminology together make corporate data fit for the future, and how you can build taxonomies and knowledge graphs alongside classic terminologies. We give concrete examples of how these can be implemented in practice.