Organizing Scholarly Knowledge in the Open Research Knowledge Graph

An Open-Science Platform for FAIR Scholarly Knowledge

Authors

DOI:

https://doi.org/10.52825/cordi.v1i.272

Keywords:

Ontology, scholarly communication, Knowledge Graph, Open-Science, ontologies

Abstract

The Open Research Knowledge Graph (ORKG) is an Open Science digital infrastructure for the production, curation, publication, and reuse of machine-actionable scholarly knowledge. Built on top of the RDF data model and extensible ontologies, the ORKG provides a common vocabulary for researchers to describe their research contributions and data, improving the discoverability and reusability of scholarly knowledge and research data. The ORKG includes tools for visualizing the relationships between different entities, making it easier to understand the connections between different pieces of research and their findings. It facilitates collaboration between researchers by providing a collaborative platform for organizing and sharing scholarly knowledge and data, reducing duplication and enabling more efficient use of resources. As research becomes increasingly data-driven, tools like the ORKG will become essential for enabling efficient, transparent, and collaborative research.

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References

S. Auer, A. Oelen, M. Haris, et al., “Improving access to scientific literature with knowledge graphs,” Bibliothek Forschung und Praxis, vol. 44, no. 3, pp. 516–529, 2020. DOI: 10.1515/bfp-2020-2042.

M. Stocker, A. Oelen, M. Y. Jaradeh, et al., in FAIR Connect, B. Magagna, Ed., vol. 1, IOS Press, 2023, pp. 19–21. DOI: 10.3233/fc-221513.

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Published

2023-09-07
Received 2023-04-21
Accepted 2023-06-29
Published 2023-09-07

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