Reborn articles: rethinking the way we produce and publish science

A new open-source approach enhances the reusability of scientific results by producing them human- and machine-readable. Learn more about the approach developed by researchers from the TIB—Leibniz Information Centre for Science and Technology, a member of the Earth & Societies Leibniz Research Network.

With millions of scientific articles published annually, the need for machine-assisted information retrieval and processing is rapidly growing. Most efforts to address this need have attempted to train machines to interpret text-based information using artificial intelligence (AI) approaches, usually with limited success. Recently, researchers at the TIB proposed tackling the problem with a different mindset. Rather than trying to teach machines our language, why not produce science in a language they already understand?