Research Information article: Text and data mining

Companies wishing to maximise the value of their content often turn to text and data mining services. Large organisations and publishers are keen to semantically enrich their content to help readers search or find related content better, or to help the publisher package content to sell in different ways. New resources such as thematically-focused topic pages, linked data knowledge bases, or content APIs, rely on semantic metadata.

In this article, Rob Virkar-Yates explains how Semantico works with text mining and discusses the benefits, challenges and issues surrounding it.

(This article first appeared in Research Information, August/September 2013)

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