Open Research Knowledge Graph (ORKG)
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An Open Research Knowledge Graph (ORKG) is a domain-specific KG for scholarly knowledge.
References
2020
- https://ncg-task.github.io/
- QUOTE: ... A Scholarly Contribution Graph: Since scientific literature is growing at a rapid rate and researchers today are faced with this publications deluge, it is increasingly tedious, if not practically impossible to keep up with the research progress even within one's own narrow discipline. The Open Research Knowledge Graph (ORKG) is posited as a solution to the problem of keeping track of research progress minus the cognitive overload that reading dozens of full papers impose. It aims to build a comprehensive knowledge graph that publishes the research contributions of scholarly publications per paper, where the contributions are interconnected via the graph even across papers. With the NLPContributionGraph Shared Task, we have formalized the building of such a scholarly contributions-focused graph over NLP scholarly articles as an automated task.
2019
- (Jaradeh et al., 2019) ⇒ Mohamad Yaser Jaradeh, Allard Oelen, Kheir Eddine Farfar, Manuel Prinz, Jennifer D'Souza, Gábor Kismihók, Markus Stocker, and Sören Auer. (2019). “Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge.” In: Proceedings of the 10th International Conference on Knowledge Capture, (KCAP-2019).