Rights Expression Languages, licensing tools & compliance checking

by taspel | November 08, 2016

Rights Expression Languages (RELs) are a subset of Digital Rights Management technologies that are used to explicate machine-readable rights for purposes of Digital Asset Management. RELs are used to control access, explicate usage rights and govern behavioural aspects of a transaction process. Among the most prominent REL-vocabularies are MPEG-21, ODRL-2.0 (and derivatives like RightsML), ccREL, XACML and WAC to name but a few.[1] Each REL has been developed to serve specific purposes. I.e.

Complexity and efforts of rights clearance

by taspel | November 07, 2016

Licenses express permissions and obligations associated with a protectable asset as defined by copyright law or competition law. Licenses control access to, usage of, and transactions on top of digital assets - be it under conditions of property rights (all rights reserved) or public domain (no rights reserved) (Fig. 1).[1]

DALICC Requirements & Challenges

by taspel | November 06, 2016

The following requirements can be derived for the DALICC system: The system’s output 1) has to comply with applicable laws, 2) needs to correctly interpret obligations and permissions from processed licenses, 3) must preserve abstractness and technological neutrality of the rules, and 4) needs to support the dynamics of the rules under conditions of real world applications and usage. To achieve these goals the following problems need to be addressed:  

DALICC Framework

by taspel | November 05, 2016

The major goals of the DALICC project is to reduce the costs of license clearance and to increase the transparency within license negotiations.

DALICC in a nutshell

by taspel | November 04, 2016

DALICC stands for Data Licenses Clearance Center. It is a software framework that supports legal experts, innovation managers and application developers in the legally secure reutilization of third party data sources. The DALICC framework supports the automated clearance of rights, thus helping to detect licensing conflicts and significantly reducing the costs of rights clearance in the creation of derivative works.