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SciLake: Democratising and making sense out of heterogeneous scholarly content

SciLake will (a) facilitate and empower the creation, interlinking and maintenance of Scientific Knwoledge Graphs (SKGs) and the execution of data science and graph mining queries on top of them, (b) contribute to the democratization of scholarly content and the related added value services implementing a community-driven management approach, and (c) offer advanced, AI-assisted services that exploit customised perspectives of scientific merit to assist the navigation of the vast scientific knowledge space.