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Machine actionable scientific information with the Open Research Knowledge Graph (ORKG)

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.

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.

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The following have contributed to this page:
Markus Stocker
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