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Press release: Linguamatics Expands Cloud Text Mining Platform to Include Full-Text Articles

Linguamatics I2E: the first text mining platform to integrate with Copyright Clearance Center's RightFind XML for Mining, to allow access to full-text journal articles

(Cambridge, UK and Boston, USA - 24 June 2015 ) - Linguamatics is expanding its natural language processing (NLP)-based text mining platform I2E to include easier access to full-text articles, with the integration of Copyright Clearance Center's (CCC) new text mining solution, RightFind™ XML for Mining.

Commercial life science researchers can now create sets of full-text XML articles from more than 4,000 peer-reviewed journals produced by over 25 scientific, technical, and medical (STM) publishers, and automatically make them available for text mining in I2E.

The solution enables researchers to make discoveries and connections that can only be found in full-text articles. All of the content is stored securely by CCC and is pre-authorized by publishers for commercial text mining. Users access the content using Linguamatics’ unique federated text mining architecture which allows researchers to find the key information to support business-critical decisions. The integrated solution is available now, and enables users to save time, reduce costs and help mitigate an organization’s copyright infringement risk.

“While text mining scientific abstracts can provide many benefits to scientific research, a huge amount of value is also locked away in full text articles,” said David Milward, co-founder and CTO, Linguamatics. “For many years, we’ve seen the need to provide easier access to full-text. We’ve received positive feedback from our pharma customers who have trialed the service and we’re excited about the benefits the integration of Linguamatics I2E with RightFind™ XML for Mining will bring to our customers and the scientific community.”

Participating publishers in RightFind™ XML for Mining include Springer Science+Business Media, Wiley, BMJ, the Royal Society of Chemistry, Taylor & Francis, SAGE, Cambridge University Press, American Diabetes Association, American Society for Nutrition, Future Medicine and more.

“Researchers have long-struggled to find an easy, consistent and compliant way to access full-text articles from multiple publishers for the purpose of text and data mining,” said Babis Marmanis, CTO & Vice President, Engineering, CCC. “With the integration of RightFind™ XML for Mining with Linguamatics I2E, customers can now create a corpus of pre-authorized XML content and begin to realize the full benefit of what text and data mining can do for their business.”

Linguamatics and CCC will demonstrate the solution at Linguamatics’ upcoming seminar on July 16, 2015.

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