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]

“This project has received funding from the European Union’sSeventh Framework Programme for research, technologicaldevelopment and demonstration under grant agreement no601138”.

Jean-Yves Vion-Dury, senior scientist,

Xerox Research Centre Europe

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In one glance:

• an OWL ontology to model ecosystems as evolving linked (dependent) resources

• Focused on change management, but 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 (LRM-service)

In one glance:

• Monitor change impact• Maintain consistency (proactive mode)• Detect (potential) inconsistency (tracking mode)

• Maintain an history of the evolution: LRM as a generalized provenance model

• Ecosystem analysis and governance support• querying the model• Risk based analysis• « Time machine » to reconstruct coherent view of the past

Schema level (conceptual/static)◦ Organize our knowledge

Compatible & incompatible classes and subclasses

◦ Make it explicit and sharable

◦ Allows formal verification

Instance Level (operational/dynamic)◦ Model and capture the structure of the target ecosystem

◦ Manage its evolution (react to events, undertake actions)

◦ Behave as a super datatype/datamodel

Description

ExogenousResourcedisjointWith

Resource

EndogenousResource

subClassOfsubClassOf

subClassOf

AbstractResourcesubClassOf

Abstract Concrete

Exogenousmutable

immutable

Endogenousmutable

immutable

Abstract Concrete

Exogenousmutable

immutable

Endogenousmutable

immutable

Digital resource

Abstract Concrete

Exogenousmutable

immutable

Endogenousmutable

immutable

Digital resource

Abstract Concrete

Exogenousmutable

immutable

Endogenousmutable

immutable

Human ⊑ Agent

Abstract Concrete

Exogenousmutable

immutable

Endogenousmutable

immutable

Software ⊑ Agent

Software ⊑ Agent

Description

ExogenousResourcedisjointWith

Resource

EndogenousResource

subClassOfsubClassOf

subClassOf

AbstractResourcesubClassOf

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La Trahison des images (R. Magritte)

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Les deux mystères (R. Magritte)

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Description

ExogenousResourcedisjointWith

Resource

EndogenousResource

subClassOf subClassOf

subClassOf

AbstractResourcesubClassOf

20

NantesTriptych

creationTime

« 1994 »

21

NantesTriptych

creationTime

« 1994 »

« 10/15/2015 »

creationTime

22

NantesTriptych

creationTime

« 1994 »

« 10/15/2015 »

creationTime

« 10/15/2015 »

creationTime

23

NantesTriptych

creationTime

« 1994 »

« 10/15/2015 »

creationTime

creationTime

Schema level (conceptual/static)◦ Organize our knowledge

Compatible & incompatible classes and subclasses

◦ Make it explicit and sharable

◦ Allows formal verification

Instance Level (operational/dynamic)◦ Model and capture the structure of the target ecosystem

◦ Manage its evolution (react to events, undertake actions)

◦ Embedds a dedicated language (ReAL)

LRM now becomes a powerful datamodel/typesystem to capture the dynamics

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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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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

• An LRM model for LRM: reflexive digital preservation

Tree transformer

from

to

XML comment stripper

XML LinearizerXML parser

fromfrom

Conjunctive Dependency

Tree transformer

from

to

XML comment stripper

XML Linearizer

Disjunctive Dependency

fromfrom

Conjunctive Dependency

XML parser 2XML parser 1

from from

to

D-Connector

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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

• An LRM model for LRM: reflexive digital preservation

Release intention dependency path

Develop intention dependency path

XSLT XMLOrig

xmlTransDep

fromfrom

XMLTrans

rendDevDep

to

IDEDisjunctiveDependency

VS1 VS2

D-Connector

R’

from from

from

from

to

to

XMLOrig

DLL

from

from

from

Rto

rendRelDep

renderintention

intention

release

intention

develop

intention

Direct visualization

Injection of information◦ By hand◦ By automated extraction (PET2LRM tool, others)◦ By data analysis

Propagation of changes◦ Forward propagation (useful for proactive change

management)◦ Backward propagation (action planning, focused on

demand evaluation)

Simulation◦ Inject hypothesis & evaluate potention consequences◦ Risk analysis

Maintain an instance of LRM ontology◦ reflects change-related information about the preservation ecosystem

Offer services to other PERICLES components◦ General RDF graph queries (à la SparQL)◦ LRM aware queries

Consistency check

Version management

◦ Graph Update request

React to events◦ Propagation of changes (resource creation/destruction/modification)◦ Notifications/alerts

Ask for external services◦ Computation on digital objects

Digests

delta computation,

transformation (e.g. compilation)

Validation

…