MOVING: A User-Centric Platform for Online Literacy Training and Learning

Aitor Apaolaza (), Tobias Backes (), Sabine Barthold (), Irina Bienia (), Till Blume (), Chrysa Collyda (), Angela Fessl (), Sebastian Gottfried (), Paul Grunewald (), Franziska Günther (), Thomas Köhler (), Robert Lorenz (), Matthias Heinz (), Sabrina Herbst (), Vasileios Mezaris (), Chifumi Nishioka (), Alexandros Pournaras (), Vedran Sabol (), Ahmed Saleh (), Ansgar Scherp (), Ilija Simic (), Andrzej M.J. Skulimowski (), Iacopo Vagliano (), Markel Vigo (), Michael Wiese () and Tanja Zdolšek Draksler ()
Additional contact information
Aitor Apaolaza: University of Manchester
Tobias Backes: GESIS
Sabine Barthold: TU Dresden
Irina Bienia: Ernst & Young
Till Blume: University of Kiel
Chrysa Collyda: CERTH-ITI
Angela Fessl: Know-Center
Sebastian Gottfried: DLR Institute of Software Methods for Product Virtualization
Paul Grunewald: TU Dresden
Franziska Günther: TU Dresden
Thomas Köhler: TU Dresden
Robert Lorenz: TU Dresden
Matthias Heinz: TU Dresden
Sabrina Herbst: TU Dresden
Vasileios Mezaris: CERTH-ITI
Chifumi Nishioka: University of Kyoto
Alexandros Pournaras: CERTH-ITI
Vedran Sabol: Know-Center
Ahmed Saleh: ZBW
Ansgar Scherp: Ulm University
Ilija Simic: Know-Center
Andrzej M.J. Skulimowski: Progress Business Foundation
Iacopo Vagliano: University Medical Center
Markel Vigo: University of Manchester
Michael Wiese: Ernst & Young
Tanja Zdolšek Draksler: Jožef Stefan Institute

A chapter in e-Science, 2021, pp 77-97 from Springer

Abstract: Abstract In this paper, we present an overview of the MOVING platform, a user-driven approach that enables young researchers, decision makers, and public administrators to use machine learning and data mining tools to search, organize, and manage large-scale information sources on the web such as scientific publications, videos of research talks, and social media. In order to provide a concise overview of the platform, we focus on its front end, which is the MOVING web application. By presenting the main components of the web application, we illustrate what functionalities and capabilities the platform offer its end-users, rather than delving into the data analysis and machine learning technologies that make these functionalities possible.

Keywords: MOVING platform; MOVING web application; Recommender system; Adaptive training support (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-66262-2_6

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DOI: 10.1007/978-3-030-66262-2_6

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