A Bottom-Up Approach for Licences Classification and Selection

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 featuresi¾ź-i¾źpermissions, prohibitions and obligationsi¾ź-i¾źconstitute 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 work presented in this paper 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, we show how the process of licence selection can be simplified significantly and reduced to answering an average of three/five key questions.