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    TinyGenius: Intertwining natural language processing with microtask crowdsourcing for scholarly knowledge graph creation
    (New York,NY,United States : Association for Computing Machinery, 2022) Oelen, Allard; Stocker, Markus; Auer, Sören; Aizawa, Akiko
    As the number of published scholarly articles grows steadily each year, new methods are needed to organize scholarly knowledge so that it can be more efficiently discovered and used. Natural Language Processing (NLP) techniques are able to autonomously process scholarly articles at scale and to create machine readable representations of the article content. However, autonomous NLP methods are by far not sufficiently accurate to create a high-quality knowledge graph. Yet quality is crucial for the graph to be useful in practice. We present TinyGenius, a methodology to validate NLP-extracted scholarly knowledge statements using microtasks performed with crowdsourcing. The scholarly context in which the crowd workers operate has multiple challenges. The explainability of the employed NLP methods is crucial to provide context in order to support the decision process of crowd workers. We employed TinyGenius to populate a paper-centric knowledge graph, using five distinct NLP methods. In the end, the resulting knowledge graph serves as a digital library for scholarly articles.
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    Goportis – hoch integrierte Kooperation der Zentralen Fachbibliotheken
    (Bingley : Emerald, 2008) Burblies, Christine; Pianos, Tamara
    Unter dem Namen „Goportis“ haben die drei Deutschen Zentralen Fachbibliotheken (ZFB) im Herbst 2006 begonnen, eine hoch integrierte Kooperation auf der Ebene gemeinsamer Produkte und Dienstleistungen und interner Geschäftsgänge aufzubauen. Die Zentralen Fachbibliotheken sind die Technische Informationsbibliothek in Hannover, die Deutsche Zentralbibliothek für Medizin in Köln/Bonn und die Deutsche Zentralbibliothek für Wirtschaftswissenschaften in Kiel/Hamburg.