Auto-classifying a technical publication library

The Challenge

A large library of technical publications had no consistent way to be classified or searched. Analysts were losing time locating prior work instead of building on it, and there was no shared structure new publications could be checked against as they came in.

Our Approach

ScribeDoc designed an ontology-based taxonomy and built the auto-classification system on top of it, supported by cloud-based data pipelines, so incoming publications are categorized against a shared structure instead of ad hoc tagging.

Outcome

• A shared ontology-based taxonomy now governs classification across the publication library.
• Cloud-based data pipelines and AI-assisted tooling support ongoing content classification.