What is it about?
Scientific information is buried in text documents designed for human experts to read. Gaining an overview of the state of the art in a research area or more generally processing and reusing scientific information is time consuming and prone to errors. In the future, information systems must better support scientific information reuse. To enable this, we need to ensure scientific information is produced and published in machine actionable form, and managed by information systems.
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Why is it important?
Individual researchers, research groups, and research communities invest enourmous resources to process information encoded in textual form, with virtually no support by information systems. Systems can make these activities more efficient as well as more accurate.
Read the Original
This page is a summary of: FAIR scientific information with the Open Research Knowledge Graph, Fair Connect, January 2023, IOS Press, DOI: 10.3233/fc-221513.
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Short Video About the Open Research Knowledge Graph
New forms of knowledge exchange in research: Using a dynamic knowledge graph like the ORKG , various research ideas, approaches, methods and results are to be connected and presented in a machine-readable form. In this way, completely new connections of knowledge can be revealed and researchers have easier access to the state-of-the-art in a certain scientific field.
ORKG Service Web Address
Home of the ORKG Service on the Web.
Related Article about the ORKG
A related journal article describing the ORKG and its features in more details.
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