Author:
Apaolaza Aitor,Backes Tobias,Barthold Sabine,Bienia Irina,Blume Till,Collyda Chrysa,Fessl Angela,Gottfried Sebastian,Grunewald Paul,Günther Franziska,Köhler Thomas,Lorenz Robert,Heinz Matthias,Herbst Sabrina,Mezaris Vasileios,Nishioka Chifumi,Pournaras Alexandros,Sabol Vedran,Saleh Ahmed,Scherp Ansgar,Simic Ilija,Skulimowski Andrzej M.J.,Vagliano Iacopo,Vigo Markel,Wiese Michael,Zdolšek Draksler Tanja
Abstract
AbstractIn 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.
Publisher
Springer International Publishing
Cited by
1 articles.
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