The Open Digital Rights Language (ODRL) Initiative is an international effort aimed at developing and promoting an open standard for policy expressions. ODRL provides flexible and interoperable mechanisms to support transparent and innovative use of digital content in publishing, distribution and consumption of digital media across all sectors and communities. The ODRL Policy model is broad enough to support traditional rights expressions for commercial transaction, open access expressions for publicly distributed content, and privacy expressions for social media.
This tutorial is aimed at providing a basic knowledge about the existing schemas and vocabularies to represent licenses in Linked Data, and the existing formalisms able to deal with derivative data licensing and rights inferences.
A key session of the tutorial is dedicated to the presentation of the ways to license Linked Data. The licenses offered by Creative Commons, Open Data Commons and other institutions are increasingly widespread, and the awareness on the importance of licensing a published resource is becoming almost universal. The next step in refinement might be users publishing their own personalized licenses, namely, writing rights expressions at will and not among a set of predefined licenses, for which Rights Expression Languages already exist. One of the most relevant of these rights expression languages for the Linked Data community is ODRL 2.0, which has been recently published along with an ontology. Specific licenses can be created with ODRL 2.0 in RDF with a great flexibility for granting rights, imposing complex conditions, and going beyond open licenses.
The tutorial has a full day length and it takes place in Anissaras, Hersonissou (Greece), the 25th May 2014.
A draft ontology for ODRL Version 2.0 has been released for comment and feedback.
The ODRL Ontology utilises the power of the Semantic Web – through the RDF/OWL languages – thus enabling ODRL Policies to be used in more communities that also utlise RDF/OWL and supporting advanced reasoning features.
Mo McRoberts, Analyst from the BBC Archive Development, has developed a comprehensive draft ontology that represents the ODRL Model and Common Vocabulary.