ORKG – Open Research Knowledge Graph
Applicant: |
Prof. Dr. Sören Auer |
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My role: |
Project member |
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Funding: |
1. TIB – Leibniz Information Centre for Science and Technology2. European Research Council (ERC) Consolidator Grant |
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Duration: |
Since 2018 |
Document-based workflows in science have reached (or already exceeded) the limits of adequacy, as demonstrated, for example, by recent discussions about the proliferation of scientific literature and the reproducibility crisis. Although digital access to scientific publications has greatly improved in recent decades, even now that the papers are digitized, they remain document-based, making it difficult to communicate the knowledge they contain. This first step towards digitalization, however, makes it possible to rethink the dominant paradigm of document-centric knowledge sharing and transform it into knowledge-based information flows by expressing these papers through more flexible, fine-grained, semantic, interlinked, and context-sensitive representations in the form of knowledge graphs. The Open Research Knowledge Graph (ORKG) is one concrete research infrastructure that uses a knowledge graph as the underlying data structure to acquire, curate, publish, and process scholarly contributions from scientific papers in a structured and semantic form.