SCC Open Calais Integration Module directly interfaces SCC digital asset management (DAM) systems to the Refinitiv Open Calais Intelligent AI Tagging Service to automatically generate rich semantic metadata for SCC stored content.

The Refinitiv Open Calais Intelligent Tagging classification engine supports over 1,400 RCS taxonomy topics. Intelligent Tagging assigns topics to your documents using machine learning classifiers trained by dedicated Refinitiv analysts, and optimized for News and Research content. Topics are varied and detailed, and cover a wide range of subjects such as financial markets (equity, fixed income, funds), geographical entities, industries, financial events, economic topics and more.

As with other SCC MediaFactory channel types, constraints can be applied within the Calais channel to ensure that only those records matching certain criteria are processed.

SCC Calais channel configuration allows the selection of a set of fields from each library, on which to perform analysis. e.g. Headline, Body Text, Caption, but not Byline, Publication, Section etc.

The Refinitiv Open Calais Intelligent Tagging Service uses natural language processing (NLP), machine learning and other techniques, to analyze each record and extract the facts and events within. Calais processing times are typically 1-2 seconds per record (depending on network performance).

Enriched metadata tags returned from the service are used to update one or more target fields within the processed SCC database record, greatly enhancing search capability and and the quality of content delivery.

At any time in the future, SCC stored data already processed by Open Calais can be very easily reprocessed in order to take advantage of enhancements to the Refinitiv Open Calais Intelligent Tagging Service.