TY - GEN
T1 - Training researchers with the moving platform
AU - Vagliano, Iacopo
AU - Fessl, Angela
AU - Günther, Franziska
AU - Köhler, Thomas
AU - Mezaris, Vasileios
AU - Saleh, Ahmed
AU - Scherp, Ansgar
AU - Šimić, Ilija
N1 - Funding Information: Acknowledgments. This work was supported by the EU’s Horizon 2020 programme under grant agreement H2020-693092 MOVING. The Know-Center is funded within the Austrian COMET Program under the auspices of the Austrian Federal Ministry of Transport, Innovation and Technology, the Austrian Federal Ministry of Economy, Family and Youth and by the State of Styria. COMET is managed by the Austrian Research Promotion Agency FFG. Funding Information: This work was supported by the EU’s Horizon 2020 programme under grant agreement H2020-693092 MOVING. The Know-Center is funded within the Austrian COMET Program under the auspices of the Austrian Federal Ministry of Transport, Innovation and Technology, the Austrian Federal Ministry of Economy, Family and Youth and by the State of Styria. COMET is managed by the Austrian Research Promotion Agency FFG. Publisher Copyright: © 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - The MOVING platform enables its users to improve their information literacy by training how to exploit data and text mining methods in their daily research tasks. In this paper, we show how it can support researchers in various tasks, and we introduce its main features, such as text and video retrieval and processing, advanced visualizations, and the technologies to assist the learning process.
AB - The MOVING platform enables its users to improve their information literacy by training how to exploit data and text mining methods in their daily research tasks. In this paper, we show how it can support researchers in various tasks, and we introduce its main features, such as text and video retrieval and processing, advanced visualizations, and the technologies to assist the learning process.
KW - Information retrieval
KW - Recommender systems
KW - Technology enhanced learning
KW - Text and video analysis
UR - http://www.scopus.com/inward/record.url?scp=85059845816&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/978-3-030-05716-9_46
DO - https://doi.org/10.1007/978-3-030-05716-9_46
M3 - Conference contribution
SN - 9783030057152
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 560
EP - 565
BT - MultiMedia Modeling - 25th International Conference, MMM 2019, Proceedings
A2 - Huet, Benoit
A2 - Kompatsiaris, Ioannis
A2 - Vrochidis, Stefanos
A2 - Mezaris, Vasileios
A2 - Cheng, Wen-Huang
A2 - Gurrin, Cathal
PB - Springer - Verlag
T2 - 25th International Conference on MultiMedia Modeling, MMM 2019
Y2 - 8 January 2019 through 11 January 2019
ER -