Make content and knowledge abundant, accessible, interactive and usable over time by humans and machines alike.

1
Digital Libraries and Content

• Make content and knowledge abundant, accessible,
  interactive and usable over time by humans and
  machines alike.
• Content must be made available through digital
  libraries and its long term usability,
  accessibility and preservation must be ensured
• Effective technologies need to be developed for
  intelligent content creation and management, and
  for supporting the capture of knowledge and its
  sharing and reuse
• Individuals, organisations and communities must
  find new ways to acquire and exploit knowledge,
  and thereby learn
• Political framework  i2010 - Digital
  Libraries 

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Objective 3.4.1.1 - Digital Libraries and
Technology enhanced Learning

• Digital Libraries
• Medium term
• a) Large-scale European-wide digital libraries
• Long term
• b) Radically new approaches to digital
  preservation
• Technology enhanced Learning
• Medium term
• c) Responsive environments for technology-enhanced
  learning
• Long term
• d) Adaptive and intuitive learning systems

3
Digital Libraries context

• Research baseline
• Digital libraries
• Architectures for DL theoretical development of
  reference model and its implementation
• (multilingual) search, access and management
  systems for cultural content
• Research on domain specific issues (e.g.
  interfaces, navigation, digitisation of
  audio-visual material, evaluation,
  personalisation, visualisation, cross-media
  retrieval)
• Digital preservation
• Test bed in libraries and archives - OAIS system
  integrating preservation into organisational
  workflows and processes
• Generic OAIS-based system for scientific data,
  multimedia art and other cultural heritage
  material
• Coordination of national activities mobilising
  centres or networks of competence, structuring
  the research space for FP7
• Policy context i2010 digital libraries

4
Digital Libraries (1/2)

• a) Large-scale European-wide digital libraries of
  cultural and scientific multi-format and
  multi-source digital objects
• robust and scalable environments
• cost-effective digitisation,
• semantic-based search facilities and
• digital preservation features
• assisting communities of practice in the
  creative use of content in multilingual and
  multidisciplinary contexts
• b) Radically new approaches to digital
  preservation
• high volume
• dynamic and volatile digital content (notably
  web)
• keep track of evolving meaning and usage context
  of digital content
• safeguarding integrity, authenticity and
  accessibility over time
• models enabling automatic and self-organising
  approaches to preservation

5
Digital Libraries (2/2)

• Approach
• IPs (digitisation), STREPs and NoE (digital
  preservation)
• Includes centres of competence for digitisation
  and preservation, building upon, pooling and
  upgrading resources in the Member States
• Rationale economies of scale, transfer of
  knowledge to other institutions, improving
  capacity, research into specific problems
• Leverage national initiatives (e.g. benchmarking
  digitisation, national preservation plans)
• Cross-disciplinary including empirical evaluation
  assessing broad socio-economic impact
• Impact
• Unlock organisations' and people's ability to
  access digital content and to preserve it over
  time
• EU-wide massive digitisation and long term
  preservation

6
Technology-enhanced learning- baseline from
current research

• Mixing informal and formal learning
• New architectures tools for learning platforms
• Compliance testing and take up of learning design
• Early experiments on personalisation of learning
• Integration of learning with knowledge management
  individual and organisational learning,
  including approaches to competency management
• Models and systems supporting learners in
  learning together collaboration, games,
  communities of practice
• Understanding how ICT-enabled learning can tackle
  specific problems attention deficit, motivation
  and engagement eg using games, neuroscience

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Technology enhanced learning (1/2)

• c) Responsive environments for technology-enhanced
  learning, which
• accommodate personalisation to respond to
  specific learning needs and contexts
  (mass-individualisation)
• are capable of transforming learning outcomes
  into knowledge assets
• enhances competence, skills and performance
• are pedagogically sound
• d) Adaptive and intuitive learning systems able
  to
• identify learner's requirements, intelligently
  monitoring progress,
• exploit learning and cognitive abilities letting
  people learn better,
• give purposeful and meaningful advice to both
  learners and teachers,
• learning on your own or collaboratively

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Technology enhanced learning (2/2)

• Approach
• Cross-disciplinary (cognitive, organisational,
  pedagogical, technological aspects)
• Provide a body of evidence as to which approaches
  are effective and under which circumstances
• Empirical evaluation assessing broad
  socio-economic impact
• Impact
• Faster and more effective learning, acquisition
  of knowledge, competences and skills
• Unlocking peoples and organisations ability to
  master knowledge and apply it
• Increased knowledge worker productivity,
• More efficient organisational learning processes

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Contacts and further information

• INFSO E3 Learning and Cultural Heritage
• http//cordis.europa.eu/ist/telearn-digicult/inde
  x.html
• Patricia Manson
• Cultural Heritage
• http//www.cordis.lu/ist/digicult/index.html
• infso-digicult_at_ec.europa.eu
• Carlos Oliveira
• Technology-enhanced Learning
• http//cordis.europa.eu/ist/telearn/index.html
• infso-telearn_at_ec.europa.eu
• Marco Marsella

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Objective 3.4.2.1 Intelligent content and
semantics

• Some trends in digital content
• Explosion in the availability of multimedia
  content
• Produced and remixed by non-professionals
• Consumed on a broad range of devices
• Growing cognitive load and diversity of content
  types
• More and more data produced by instruments as
  opposed to humans
• Distributed (e.g. peer to peer) andSocially
  enhanced content management applications have
  established themselves as successful solutions
• Personal, Community, Organisational
  Professional (media)
  content information

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Intelligent Content Semantics

• Obj 3.4.2.1 in the draft WP
• Make digital resources that embody creativity
  and semantics easier and more cost effective to
  produce, organize, search, personalise,
  distribute and use across the value chain.
• CREATORS Design more participative and
  communicative forms of content (media
  professionals, enterprise designers, talented
  amateurs)
• PUBLISHERS Increase productivity in creative
  industries, enterprises and professional sectors
  (eg health, law)
• SCIENTISTS Automate link between data analysis,
  theory and experimental validation
• ORGANISATIONS COMMUNITIES Automate collection
  and distribution of digital content and
  machine-tractable knowledge, and their sharing in
  collaborative environments

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Themes

• RTD
• Authoring
• Workflow
• Personalisation
• Semantics
• Knowledge
• Networking, validation socio economics
• Community building
• Take-up

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Some details

• Advanced Authoring
• explore new media paradigms novel forms of
  content support creativity interactivity user
  experience control highly visual non-linear
  content
• low-cost high-functionality editing tools
  semantic metadata for new as well as legacy
  content categorize search, remix share
  all content types (images, video, shapes)
• Collaborative Workflow
• (metadata and object based) automated content
  flows, from acquisition to packaging
  repurposing incl. adaptation to different markets
  groups
• multimedia segmentation, summarisation
  (scalable) coding
• Personalised Presentation Consumption
• self-aware, adaptive content user, context
  device adaptation privacy
• immersive rendering multimodal interaction
• Community building
• Stimulate cross disciplinary approaches and
  user/supplier dialogue encourage uptake of
  research results demonstration dissemination

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Some details

• Semantic Foundations
• objective driven beyond current knowledge models
  formalisms approximate reasoning induction
  probabilistic, temporal modal modelling
• reference implementations in particular web
  integration of heterogeneus sources multimedia
  resources resp. real-time data streams
• Knowledge Systems
• problem oriented end-to-end systems for
  information bound organisations communities
  extract meaning from information social
  interaction and make it computer tractable
• knowledge-based technologies architectures in
  support of dynamic data application
  integration, IT-based business processes,
  collaboration problem solving
• Community building
• Stimulate cross disciplinary approaches and
  user/supplier dialogue encourage uptake of
  research results demonstration dissemination

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Key features

• problem objective driven
• scope formal (AI) social (Web 2.0) ambient
  (Internet of things) content / knowledge
  resources
• foundational, component system level research
• centred around (real) users, data flows
• principled approach, no quick-and-dirty fixes
• field validation assessment
• replicability scalability
• active promotion dissemination of results
• beyond scientific circles

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What we dont do

• In 2007-08 we do not plan to support research
  into
• basic, theoretical research with no foreseeable
  by-products within 10 years
• domain specific applications - not
  portable/replicable in other socio-economic
  sectors
• developments addressing immediate commercial
  concerns e.g. content protection
• issues covered by other Challenges e.g. media
  networking, peer to peer
• topics well covered by on-going FP6 projects
  networks
• individual projects can however address one
  orthe other of the above issues

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Further Info Events

• FP7 http//cordis.europa.eu/fp7/
• Unit E2 - Knowledge Content Technologies
• URL http//cordis.europa.eu/ist/kct/fp7.htm
• mailto infso-e2_at_cec.eu.int
• c/o Dr Stefano Bertolo
• IST conference, Helsinki 21-23 Nov 2006
• http//europa.eu.int/information_society/istevent
  /2006/index_en.htm
• SAMT 2006, Athens 6-8 Dec 2006
• http//www.samt2006.org
• Dir E info session, Luxembourg 24-26 Jan 2007