Copyright Clearance Center, Inc. (CCC), a global licensing and content solutions organization, has announced the launch of its text mining solution, RightFind™ XML for Mining. Using the module, commercial life science researchers can 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 import them into their preferred third-party text mining software.
XML for Mining is built on the RightFind™ platform, CCC’s unique suite of cloud-based workflow solutions that offer immediate, easy access to a full range of STM peer-reviewed journal content. Linguamatics I2E text mining software is the first third-party text mining platform integrated with RightFind XML for Mining; integrations with other third-party solutions are planned.
Publishers participating in the offering 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. The module is available to businesses through the sales teams of CCC and RightsDirect, CCC's European subsidiary.
Using RightFind XML for Mining, researchers will be able to identify articles associated with their research from publications to which they subscribe and from those that fall outside their subscriptions.
RightFind XML for Mining enables publishers to facilitate compliant access to article content for life science companies who have been asking for text mining solutions. By participating, publishers have access to usage reports to help them make decisions related to text mining and their content development strategy.
Typically, content from publishers is offered in PDF format, which is poorly suited to the needs of text mining researchers.
Text mining and data mining are methodologies that enable the discovery of knowledge from text materials (unstructured data) and databases (structured data), respectively, through the use of appropriate software. During text mining, researchers use software systems to identify things that they care about (e.g. genes, chemicals, pharmaceutical products, diseases) and relationships between them, for the purpose of discovering new hypotheses, or validating old ones, in a way that would otherwise be very difficult to accomplish.
CCC will conduct live demonstrations of RightFind XML for Mining at the Special Libraries Association (SLA) Annual Conference in Boston June 14-16 in booth 509.