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Licensing digital content with a generic ontology: escaping from the jungle of rights expression languages
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International Conference on Artificial Intelligence and Law archive
Proceedings of the 11th international conference on Artificial intelligence and law table of contents
Stanford, California
SESSION: Legal ontologies table of contents
Pages: 65 - 69  
Year of Publication: 2007
ISBN:978-1-59593-680-6
Authors
Nadia Nadah  Université de Technologie de Compiègne, Compiègne
Mélanie Dulong de Rosnay  University Paris, Paris
Bruno Bachimont  Institut National de l'Audiovisuel, Cedex
Sponsor
: International Association for Artificial Intelligence and Law
Publisher
ACM  New York, NY, USA
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ABSTRACT

Digital contents distributed over the internet are regulated by law and by technical management systems. The latter include a semantic component that describes licenses, i.e. rights of use which are granted to the user. These elements of Digital Rights Management (DRM) systems are called Rights Expression Languages (REL), they gather terms and relations needed to build licenses. Some are based on an ontology of online licenses, not necessarily related to applicable law and various legal systems, and cannot interoperate. As a consequence, there is a need for a more generic way to express licenses. Here, generic means that rightholders should only need to express the license they need once, and semi-automatic tools should then translate this license so it can be browsed by any specific system. Hence it implies the necessity to be able to model concept semantics in order to translate a license expressed in generic terms into more specific terms that are compliant with the specific standards used by distribution systems. This work comes as part of larger studies on legal ontologies, legal systems and RELs.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
B. Bachimont. Engagement Sémantique et Engagement Ontologique: Conception et Réalisation D'ontologies In Ingénierie Des Connaissances, chapter 19, pages 305--324. Eyrolles, Février 2000.
 
2
 
3
T. Bench-Capon. Task neutral ontologies, common sense ontologies and legal information systems. In Second International Workshop on Legal Ontologies, JURIX 2001, 2001.
4
 
5
ContentGuard. Xrml 2.0. technical overview.
 
6
K. Coyle. Rights expression languages - a report for the library of congress, February 2004.
 
7
M. D. de Rosnay. An action-based legal model for dynamic digital rights expression. In Legal Knowledge and Information Systems. JURIX 2006: The Nineteenth Annual Conference. Amsterdam: IOS Press, pages 157--162. Tom van Engers (ed), December 2006.
 
8
J. Delgado, I. Gallego, S. Llorente, and R. García. An ontology for digital rights management. In 16th Annual Conference on Legal Knowledge and Information Systems. JURIX 2003 Frontiers in Artificial Intelligence and Applications: IOS Press, may 2003.
 
9
H. Hart. Le concept du droit. Publication des Facultés Universitaires de Saint Louis, translation of the Concept of Law, Oxford University Press, 1976.
 
10
R. Ianella. Open digital rights language (odrl) version 1.1. September 2002.
 
11
R. Ianella. Odrl creative commons profile, july 2005.
12

Collaborative Colleagues:
Nadia Nadah: colleagues
Mélanie Dulong de Rosnay: colleagues
Bruno Bachimont: colleagues