ORKG - the Open Research Knowledge Graph - is a service for the production, curation, and reuse of FAIR scientific knowledge, as machine-reusable descriptions of research findings. ORKG makes it easier to compare findings and explore the state of the art.

It’s main goal is to support the production, curation, and use of FAIR scientific knowledge. Target research artifacts are scientific articles. ORKG uses as input sources articles, data, and code. The approach uses crowdsourcing, AI-based information extraction, knowledge graphs and large language models to generate and maintain structured, semantic expressions of scientific knowledge.

The ORKG makes scientific knowledge human- and machine-actionable and thus enables completely new ways of machine assistance. This will help researchers find relevant contributions to their field and create state-of-the-art comparisons and reviews. With the ORKG, scientists can explore knowledge in entirely new ways and share results even across different disciplines.

Link: /services/orkg