The Public License Selector: Making Open Licensing Easier

Pawel Kamocki, Pavel Straňák, Michal Sedlák


Abstract
Researchers in Natural Language Processing rely on availability of data and software, ideally under open licenses, but little is done to actively encourage it. In fact, the current Copyright framework grants exclusive rights to authors to copy their works, make them available to the public and make derivative works (such as annotated language corpora). Moreover, in the EU databases are protected against unauthorized extraction and re-utilization of their contents. Therefore, proper public licensing plays a crucial role in providing access to research data. A public license is a license that grants certain rights not to one particular user, but to the general public (everybody). Our article presents a tool that we developed and whose purpose is to assist the user in the licensing process. As software and data should be licensed under different licenses, the tool is composed of two separate parts: Data and Software. The underlying logic as well as elements of the graphic interface are presented below.
Anthology ID:
L16-1402
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2533–2538
Language:
URL:
https://aclanthology.org/L16-1402
DOI:
Bibkey:
Cite (ACL):
Pawel Kamocki, Pavel Straňák, and Michal Sedlák. 2016. The Public License Selector: Making Open Licensing Easier. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2533–2538, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
The Public License Selector: Making Open Licensing Easier (Kamocki et al., LREC 2016)
Copy Citation:
PDF:
https://aclanthology.org/L16-1402.pdf