Generating Machine-actionable Agroecological Knowledge
Wissenschaft im 21. Jahrhundert betreiben: Eine Fallstudie für maschinenverarbeitbare wissenschaftliche Literatur in der Agrarökologie
Confronted with over 750 new publications per year, agroecologists struggle to stay abreast of the latest findings. The ORKG is an initiative to address this challenge by digitalizing scholarly knowledge in a format that is human- and machine-readable. Yet, a key barrier to scaling its use is that data published in a PDF format cannot automatically be fed into the ORKG, but rather must be manually entered. We seek to address this challenge and motivate a paradigm shift in the way scientific knowledge is shared by creating a tool that allows ecologists to publish their data in a machine-readable format from the outset.
Flexible Funds, Leibniz Universität Hannover
- Dr. Lars Vogt - Technische Informationsbibliothek (TIB);
- Prof. Dr. Emily Poppenborg Martin - Justus Liebig Universität Gießen, Institute of Animal Ecology and Special Zoology
- Dr. Ricardo Perez-Alvarez - Leibniz Universität Hannover, Institut für Geobotanik