The Scientific Knowledge Base reimagined

Just like lakes are rich ecosystems hosting many life forms such as plants and fish, scientific lakes host metadata for various research elements (researchers, organisations, funders and facilities). The EU-funded SciLake project brings together 13 partners from nine countries to build an ecosystem designed to serve the needs of the research community at large. Specifically, it will empower the creation of scientific/scholarly knowledge graphs and the implementation of technologies to support data science and graph mining queries. The project will also contribute to the democratisation of scholarly content and the related added-value services by implementing a community-driven management approach. By offering advanced, AI-assisted services that exploit domain-specific perspectives of scientific merit, SciLake will assist the navigation of the vast scientific knowledge space.