Project Details
Rights Expression Languages, licensing tools & compliance checking
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.
Read moreComplexity and efforts of rights clearance
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]
Read moreDALICC Requirements & Challenges
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:
Read moreDALICC Framework

The major goals of the DALICC project is to reduce the costs of license clearance and to increase the transparency within license negotiations.
Read moreDALICC in a nutshell
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.
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