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)

Related posts

Citing should be as easy as liking: thoughts from UKSG

Will new e-reading research be a disappointment for UX?

Transforming the online user experience: it’s all about positively impacting user behaviour

Bee face-off shows need for more open research data

Leave a Reply

Thank you for leaving a reply. Your email will not be published.
Email and Name are required fields.