Project description
New approach for scholarly communication
Access to scientific publications has been improving since the introduction of digital technology and artificial intelligence. Unfortunately, the traditional procedures in scholarly communication, based on document-oriented workflows, can’t respond to the rapid increase of academic literature. With the help of subject matter experts, data interlinking and machine learning algorithms, a new knowledge graph is under development. The EU-funded ScienceGraph project will develop a state-of-the-art formula for representing, analysing, augmenting and exploiting scholarly communication in a knowledge-based way. It will express and link scientific outcomes through interlinked, semantically rich knowledge graphs enabling the representation of complex interdisciplinary scientific information, tracing of its whole evolution, connected discourse and concept drift.
Programme(s)
Funding Scheme
ERC-COG - Consolidator Grant
Host institution
30167 Hannover
Germany
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Beneficiaries (3)
30167 Hannover
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30167 Hannover
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04109 Leipzig
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