| licence-picker |
description |
Licences are a crucial aspect of the information publishing process in the web of
(linked) data. Recent work on modeling of policies with semantic web languages (RDF,
ODRL) gives the opportunity to formally describe licences and reason upon them. However,
choosing the right licence is still challenging. Particularly, understanding the number
of features - permissions, prohibitions and obligations - constitute a steep learning
process for the data provider, who has to check them individually and compare the
licences in order to pick the one that better fits her needs. The objective of the
technology is to reduce the effort required for licence selection. We argue that an
ontology of licences, organized by their relevant features, can help providing support
to the user. Developing an ontology with a bottom-up approach based on Formal Concept
Analysis, the process of licence selection can be simplified significantly and reduced
to answering an average of three/five key questions. |
