TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Kamocki, Paweł
A1  - Straňák, Pavel
A1  - Sedlák, Michal
ED  - Calzolari, Nicoletta
ED  - Choukri, Khalid
ED  - Declerck, Thierry
ED  - Goggi, Sara
ED  - Grobelnik, Marko
ED  - Maegaard, Bente
ED  - Mariani, Joseph
ED  - Mazo, Helene
ED  - Moreno, Asuncion
ED  - Odijk, Jan
ED  - Piperidis, Stelios
T1  - The public license selector: making open licensing easier
T2  - Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia
N2  - 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.
KW  - Automatische Sprachanalyse
KW  - Lizenzvergabe
KW  - Urheberrecht
KW  - Open Source
KW  - Open Data
KW  - Open Access
KW  - License
KW  - IP Rights
KW  - Copyright
KW  - Creative Commons
Y1  - 2016
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-50515
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-50515
SN  - 978-2-9517408-9-1
SB  - 978-2-9517408-9-1
SP  - 2533
EP  - 2538
PB  - European Language Resources Association (ELRA)
CY  - Paris
ER  -