Legal issues Text and Data Mining

This presentation explains the legal work done in the OpenMinTeD project, and showed some of the legal barrier that currently constitute obstacles to text and data mining.

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Authors: Thomas Margoni
Publication year: 2016
Language: English (EN)
Level of knowledge: Introductory: no previous knowledge is required
Usage rights:

Attribution - CC-BY

Audience

Librarians and Repository managers
Text and Data miners

Creative Commons badge Unless otherwise stated, all materials created by the FOSTER consortium are licensed under a CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE.



EU flag This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 612425.
This project has also received funding from the European Union's Horizon2020 programme for research, technological development and demonstration under agreement no 741839.