Information services provider Thomson Reuters, US, has announced that Associated Content has adopted the OpenCalais service to achieve deeper classification and categorisation within its vast library of over 1.7 million pieces of content. Associated Content is an open content network that enables individuals and media companies to publish quality content on any topic, in any format.
Associated Content joins Thomson Reuters, CBS Interactive / CNET, The Huffington Post and more in ushering in a new wave of innovation in digital media and online publishing. In particular, it is using OpenCalais to inform the placement of advertising across its network in an effort to optimise the return it provides to its partners.
OpenCalais helps publishers compete. Found at OpenCalais.com, the automated tagging service is claims to be the fastest way to enhance the value of content, incorporating open data assets and increasing its relevance and search accessibility on the Web. OpenCalais also makes it easy to streamline content operations, increase user engagement, and extend distribution and reach - with decreased workload for writers and editors alike. In a unique application of semantic intelligence, Associated Content is also using OpenCalais to inform the process by which it assigns stories to its growing pool of more than 300,000 contributors.
OpenCalais uses natural language processing (NLP) to ‘read’ an article, extracting the 'who, what, when, where and how' from the story. Breaking content down into its basic elements makes it easier to manipulate and automates the creation of 'recommended reading' widgets, topic hubs and microsites.
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