pericles reflexive lrm
TRANSCRIPT
GRANT AGREEMENT: 601138 | SCHEME FP7 ICT 2011.4.3 Promoting and Enhancing Reuse of Information throughout the Content Lifecycle taking account of Evolving Semantics [Digital Preservation]
Jean-Yves Vion-Dury,
Xerox Research Centre Europe
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Basic Ideas: • an OWL ontology to capture ecosystems as evolving
linked resources
• Extensible through domain specific specialisation
• The model will also serve as a data schema: RDF graph instances stored in triple stores will reflect the evolution of the preserved resources
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Key Ideas
• dependencies may have complex topology
• dependency are characterized by usage intention • resources may be versioned
• Changes apply both to resources of the ecosystem AND
their descriptions
• Open the way toward reflexive digital preservation
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• how could we preserve digital materials for the long haul, if the functionalities of the preservation system itself cannot be preserved?
• Idea: LRM could be used to model the PERICLES preservation systems as a particular collection of digital resources, thus leading to a form of reflexivity
• Ontological schemas may evolve too: OWL classes and properties can be modelled as particular LRM resources
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LRM Top Classes (1)
Digital-Resource Dependency
ConcreteResource
subClassOf
disjointWith
Resource
AbstractResource
subClassOf subClassOf
subClassOf
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LRM Top Classes (2)
Description
ExogenousResource disjointWith
Resource
EndogenousResource
subClassOf subClassOf
subClassOf
AbstractResource subClassOf
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La Trahison des images (R. Magritte)
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Les deux mystères (R. Magritte)
11
NantesTriptych
creationTime
« 1994 »
12
NantesTriptych
creationTime
« 1994 »
« 2015 »
creationTime
LRM as a conceptual model ◦ Guides the description of ecosystems ◦ Offers a clear and precise vocabulary ◦ Allows model/instance validation
LRM as a Data Model ◦ Help managing evolution of the ecosystem
Active control over change Action planning Simulation/risk analysis and mitigation Provenance information History / Time machine
◦ Help control the evolution of Pericles infrastructure Reflexive modelling