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Copyright Management for the LUISA Semantic Learning Content Management System Roberto García Universitat de Lleida, Spain Tomas Pariente ATOS Origin SAE,

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Presentation on theme: "Copyright Management for the LUISA Semantic Learning Content Management System Roberto García Universitat de Lleida, Spain Tomas Pariente ATOS Origin SAE,"— Presentation transcript:

1 Copyright Management for the LUISA Semantic Learning Content Management System Roberto García Universitat de Lleida, Spain Tomas Pariente ATOS Origin SAE, Spain LUISA is an European Comission FP6 funded Specific Targeted Research Project

2 2 Table of Contents Introduction Motivation Related Work Proposal Copyright Model License Modelling Conclusions & Future Work

3 3 Introduction Web-spread of e-Learning solutions requires Interoperability Enabler: richer semantics than current metadata specifications for learning resources LUISA (EU-IST-FP6): reference semantic and service- oriented architecture for e-Learning Search, interchange and delivery of learning objects Face interoperability at different levels using Semantic Web technologies

4 4 Motivation At the content copyright level: eLearning DRM interoperability Main problem: lack of structured and formal ways to express the licensing terms of learning objects Sakai: predefined and simple copyright status sentences Material is in public domain or I hold copyright Use copyright below + text box LOM: set of attributes for stating learning object rights: Cost, Copyright and Other Restrictions and Description

5 5 Related Work Creative Commons: Focus on open licensing schemes e.g. Open Courseware Extension for custom licensing schemes (CCPlus), but not based on formalised license building blocks DRM Standards: ISO/IEC MPEG-21 Rights Expression Language (REL) Open Digital Rights Language (ODRL)

6 6 Related Work DRM Standards issues [1]: Dont scale well to open environments like the Web More appropriate for closed domains Cause interoperability issues One of the main DRM end-users complains Rights language limited expressivity Difficult to accommodate copyright law Standardisation based on formal language grammar, no formal semantics [1] Electronic Frontier Foundation Report by Doctorow, 2005

7 7 Proposal Use the Copyright Ontology [1] in order to model e- Learning copyright licenses More expressive than XML approaches Facilitates interoperability, works at the semantic level Based on a copyright law model, WIPO worldwide recommendations [2] Also based on Semantic Web technologies Copyright Ontology: provides the building blocks and restrictions to flexibly model LOs licensing terms [1] Copyright Ontology, [2] World Intellectual Property Organisation,

8 8 Copyright Model Rights Model

9 9 Copyright Model Victor Hugos Les Misérables Creation Model

10 10 Copyright Model Action Model

11 11 Copyright Model Actions governed by rights, economic rights: Reproduction Right: Copy Distribution Right: Distribute More specifically: Sell, Rent and Lend Public Performance Right: Perform Fixation Right: Record Communication Right: Broadcast and Make Available. Transformation Right: Derive Specialisations: Adapt and Translate

12 12 License Modelling Primitive actions – case roles action participants initiatorresourcegoalessence Action agent, effector instrument result, recipient patient, theme Process agent, origin matter result, recipient patient, theme Transfer agent, origin instrument, medium experiencer, recipient theme Spatialoriginpathdestinationlocation TemporalstartdurationcompletionpointInTime Ambientreasonmanner aim, consequence condition

13 13 License Modelling Combine these building blocks to model licenses Both commercial and open access terms Main component: Action Pattern Defined combining restrictions using logical operators Pattern Copy pointInTime , agent.Subscribers theme.{learningObject}

14 14 License Modelling Additional actions and case roles: Agree (Disagree): state what is permitted (prohibited) condition: links to another pattern that must satisfied aim: links condition pattern to conditioned one consequence: links pattern to obliged one :agreement a co:Agree; co:agent :owner; co:theme :Pattern. Condition Transfer recipient.{owner} theme.{3EurosAmount} agent.Subscribers aim.Pattern ( 1 aim) :Pattern co:condition :Condition.

15 15 License Modelling Description Logic reasoners implement pattern matching If instance action classified in OWL Class for pattern Use SPARQL queries to check action permitted by agreed pattern and condition fulfilment: ASK { ?agreement rdf:type co:Agree; co:theme ?pattern. :copy rdf:type ?pattern; co:agent ?consumer; co:condition ?conditionPattern. ?condition rdf:type ?conditionPattern; co:agent ?consumer; co:aim :copy.}

16 16 Conclusions & Future Work

17 17 Conclusions & Future Work Semantic DRM module for LUISA based on the Copyright Ontology Facilitate interoperability Flexible enough to accommodate different licensing schemes Future work: Model LUISA partners licenses Test the whole range of LUISA scenarios Check scalability


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