Three questions put to Dr Oliver Karras
An interview about artificial intelligence, ChatGPT, knowledge graphs, and answering questions about scholarly knowledge.
➔An interview about artificial intelligence, ChatGPT, knowledge graphs, and answering questions about scholarly knowledge.
➔Ein Interview über Künstliche Intelligenz, ChatGPT, Wissensgraphen und die Beantwortung wissenschaftlicher Fragen.
➔Ein Interview zum Open Research Knowledge Graph – kurz ORKG – mit Dr. Anna-Lena Lorenz. Sie ist an der TIB im Bereich Forschung und Entwicklung tätig und dort für Community Building für den ORKG zuständig. Was genau ihre Aufgabe ist, verrät sie uns in diesem Gespräch.
➔An interview about the Open Research Knowledge Graph – or ORKG for short – with Dr Anna-Lena Lorenz. She works in research and development at TIB, where she is responsible for community building for the ORKG. In this interview, she talks about what exactly her job entails.
➔In 2022, TIB awarded its ORKG Curation Grants for the second time. 10 researchers from several disciplines made continuous entries in the ORKG in their field of research and contributed significant research issues to the ORKG. In this blog post, we introduce two of the them and show how they have worked with the ORKG and how their research has benefited from the ORKG.
➔This is what happens when 23 Open Science Enthusiasts work together to make research machine-actionable
➔NLP technology is all-pervasive for commonsense knowledge. There are many causes for this. Most of the internet and its data is about commonsense knowledge and world events, so NLP technology is developed over the data domain that is most easily available. But what about the scholarly domain with its rapidly growing body of knowledge produced worldwide? These are those specialized domains of knowledge in Science, Technology, Engineering, and Mathematics (STEM), all of which open up countless doors for NLP.
The opportunities are endless!
➔In 2021, we started our first curation grant program. 9 researchers from various fields of science, engineering and computer science earned a grant to push their field’s open science efforts and curate ORKG content. With over 150 Comparisons and 12 Reviews created, the program was an overwhelming success. But not only the grantees learned something: Due to the close contact to the development team, we got valuable feedback that in parts already made its way into today’s version of the ORKG and will be a basis for constant improvement.
➔How Data Science using the Open Research Knowledge Graph could drive new research
➔Ein Interview mit dem Doktoranden Vitalis Wiens über seine Doktorarbeit, seine Arbeit an der TIB und seine Publikation in der Open-Access-Zeitschrift Scientific Reports
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