{"id":26906,"date":"2023-05-23T10:16:46","date_gmt":"2023-05-23T08:16:46","guid":{"rendered":"https:\/\/www.l3s.de\/?page_id=26906"},"modified":"2023-09-06T15:20:22","modified_gmt":"2023-09-06T13:20:22","slug":"generating-machine-actionable-agroecological-knowledge","status":"publish","type":"page","link":"https:\/\/www.l3s.de\/de\/research-at-l3s\/all-projects\/generating-machine-actionable-agroecological-knowledge\/","title":{"rendered":"Generating Machine-actionable Agroecological Knowledge"},"content":{"rendered":"
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Generating Machine-actionable Agroecological Knowledge<\/h2>\r\n <\/div>\r\n <\/div>\r\n
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Wissenschaft im 21. Jahrhundert betreiben: Eine Fallstudie f\u00fcr maschinenverarbeitbare wissenschaftliche Literatur in der Agrar\u00f6kologie<\/p>\r\n <\/div>\r\n <\/div>\r\n

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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\r\n 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\r\n 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. <\/p>\r\n <\/div>\r\n <\/div>\r\n

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Flexible Funds, Leibniz Universit\u00e4t Hannover<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n

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