Linking Scholarly Datasets - The EOSC Perspective.

A plethora of publicly available, open scholarly data has paved the way for many applications and advanced analytics on science. However, a single dataset often contains incomplete or inconsistent records, significantly hindering its use in real-world scenarios. To address this problem, we propose a framework that allows linking scientific datasets. The resulting connections can increase the credibility of information about a given entity and serve as a link between different scholarly graphs. The outcome of this work will be used in the European Open Science Cloud (EOSC) as a base for introducing new recommendation features.