Join us for a thought-provoking session with Bill Inmon as he explores the next evolution of data — from structured models to the complex world of text — and why taxonomies and ontologies are essential to making that data usable.
Learn how these semantic structures form the foundation for transforming text into governed, meaningful information — and how they power the semantic layer that enables modern AI.
Session Focus
Taxonomies and Ontologies in Information Warehousing
“First there were simple data layouts. Then came databases. Then data modeling. Today, we are required to grapple with text - and text demands an entirely different approach to modeling.”
Traditional structured data modeling techniques do not extend cleanly into the world of unstructured and semi-structured text. To properly understand, organize, and operationalize textual data, organizations must adopt taxonomies and ontologies as foundational constructs. But what do these structures actually look like? How are they formed, governed, and applied within an information system?
This session explores the internal structure and dynamics of taxonomies and ontologies: how they classify meaning, define relationships, and enable semantic interpretation at scale. More importantly, it addresses what becomes possible once these constructs are in place: the ability to transform text into governed, usable information within an enterprise information warehouse.
