Recently in Athens there was an impressive kick-off of the OpenAIRE2020 project, during which we presented OpenAIRE’s plans in the area of text and data mining of scholarly publications. Publications contain all kinds of rich information, which, although understandable to a human reader, are not machine-readable and thus cannot be used directly for indexing and recommending purposes. Authors’ affiliations, document classifications, references to biological and chemical databases, acknowledgement...