STORRE
STORRE: Stirling Online Research Repository
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/28847| Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
| Author(s): | Vagliano, Iacopo Fessl, Angela Günther, Franziska Köhler, Thomas Mezaris, Vasileios Saleh, Ahmed Scherp, Ansgar Šimić, Ilija |
| Title: | Training researchers with the MOVING platform |
| Editor(s): | Huet, B Kompatsiaris, I Vrochidis, S Mezaris, V Cheng, W Gurrin, C |
| Citation: | Vagliano I, Fessl A, Günther F, Köhler T, Mezaris V, Saleh A, Scherp A & Šimić I (2019) Training researchers with the MOVING platform. In: Huet B, Kompatsiaris I, Vrochidis S, Mezaris V, Cheng W & Gurrin C (eds.) MultiMedia Modeling. MMM 2019. Lecture Notes in Computer Science, 11295. MMM 2019: International Conference on Multimedia Modeling, Thessaloniki, Greece, 08.01.2019-11.01.2019. Cham, Switzerland: Springer Verlag, pp. 560-565. https://doi.org/10.1007/978-3-030-05716-9_46 |
| Issue Date: | 31-Dec-2019 |
| Date Deposited: | 19-Feb-2019 |
| Series/Report no.: | Lecture Notes in Computer Science, 11295 |
| Conference Name: | MMM 2019: International Conference on Multimedia Modeling |
| Conference Dates: | 2019-01-08 - 2019-01-11 |
| Conference Location: | Thessaloniki, Greece |
| Abstract: | 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. |
| Status: | AM - Accepted Manuscript |
| Rights: | This is a post-peer-review, pre-copyedit version of a paper published in Proc. 25th Int. Conf. on Multimedia Modeling (MMM 2019), Springer LNCS vol. 11296. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-05716-9_46 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| mmm19_lncs11296_2_preprint.pdf | Fulltext - Accepted Version | 869.62 kB | Adobe PDF | View/Open |
This item is protected by original copyright |
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.