Kategorie: Data Science

NLP Contributions Graph: A Call for Participation

In the tipping scale of activities toward the digitalization of scholarly articles, next-generation digital library frameworks such as the Open Research Knowledge Graph, targeting scholarly contributions’ highlights, are already here! We have created the NLPContributionGraph Shared Task that formalizes the building of such a scholarly contributions-focused graph over Natural Language Processing articles as an automated task. If you are eager to build a machine learner, we have the annotated scholarly contributions’ graph data for you—come join us in this endeavor!

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The Future of Scholarly Communication Survey: Preliminary Findings

Compared to the dramatic transformations of other publishing and communication domains, scholarly communication has not changed much over the last decades and centuries. To what degree are researchers satisfied with the current situation? In order to explore this topic, TIB launched a survey on information flows in science.

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#EUvsVirus: Covid-19 Bioassays in the Open Research Knowledge Graph

The #EuVsVirus Pan-European Hackathon was organized as a full remote event coordinated over Slack channels over the weekend of April 24-26. Our team ‘TIB ORKG’ was a team of six people who met online in one of the 500 Slack channels created for the hackathon. We grouped on a common agreement: scholarly articles structured in the ORKG was a great idea to help researchers easily comprehend the articles’ content.

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How Do Knowledge Graphs Contribute to Understanding COVID-19 Related Treatments?

From 24 to 26 April 2020, the Scientific Data Management (SDM) group at TIB participated in the Pan-European hackathon. The SDM group and the Software and Knowledge Engineering Laboratory (SKEL) at the National Centre for Scientific Research “Demokritos” from Greece aimed at showcasing the power of integrating scientific literature and biomedical databases to discover patterns that contribute to explaining the expected results of a corona-virus related treatment.

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Organizing the World’s Scientific Knowledge

New forms of knowledge exchange in research: Using a dynamic knowledge graph, 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 the state-of-the-art in a certain field.

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Open Research Knowledge Graph – Wissen neu gedacht

Neue Formen des Wissensaustausches in der Forschung: Mit einem dynamischen Wissensgraphen sollen verschiedene Forschungsideen, -ansätze, -methoden und -ergebnisse vernetzt und maschinenlesbar dargestellt werden. So können völlig neue Zusammenhänge von Wissen zutage treten und Forschende erhalten einen leichteren Zugang zum Stand der Wissenschaft.

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Big Data für Präzisionsmedizin – auf dem Weg zur individuellen Therapie

Biomedizinische Daten werden in unzähligen Formaten dargestellt, die für die optimale Therapieentscheidung kombiniert werden müssen. Die unterschiedliche Struktur und Qualität der Daten sind die größten
Hindernisse für die Wissensgewinnung. Hier helfen algorithmische Lösungen bei der Big-Data-Integration.

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