Science and Research Content

Copyright Clearance Center announces enhancements to RightFind® XML for Mining -

Global licensing and content solutions provider Copyright Clearance Center, Inc. (CCC) has announced enhancements to its cloud-based RightFind® XML for Mining software solution, which empowers organisations using text mining to glean important insights from vast amounts of Scientific, Technical, and Medical (STM) content. RightFind XML for Mining allows customers to make discoveries and connections available only in full text by providing XML-formatted subscribed content, and enabling discovery and purchase of articles that fall outside company subscriptions, offering the most complete article collection for text mining.

The product enhancements allow the user to discover full-text scientific articles with powerful new search functionality - a new Lucene search capability enables users to build sophisticated queries using any indexed field; share projects with colleagues - teams of researchers can collaborate to build queries, review results, and ensure the optimal output for downstream text mining activities; access the most recent, up-to-date content - new synchronization architecture provides the latest article versions for users’ text mining projects; and make text mining queries with improved cross-publisher normalization: The JATS XML output has been enhanced to include new metadata fields for normalized sections of the full-text article, reducing workflow inefficiencies that plague other methods of acquiring full-text XML content from multiple publishers.

XML for Mining is built on CCC’s RightFind® platform, which helps customers access, share and manage content anytime, anywhere, while respecting copyright. Colleagues can use a single platform to connect instantly to full-text articles from subscriptions, Open Access channels, local holdings, and document delivery.

Brought to you by Scope e-Knowledge Center, a world-leading provider of metadata services, abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).

Click here to read the original press release.

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