The main goal of this workshop is bringing together publishers, companies and researchers from different fields (among which Document and Knowledge Engineering, Semantic Web, Natural Language Processing, Scholarly Communication, Bibliometrics, and Human-Computer Interaction) in order to bridge the gap between the theoretical/academic and practical/industrial aspects in regards to scholarly data.

The following topics will be addressed:

• semantics of scholarly data, i.e. how to semantically represent, categorize, connect and integrate scholarly data, in order to foster reusability and knowledge sharing;