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 »

2. 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-sourcedigital objects • robust and scalable environments • cost-effectivedigitisation, • 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 accessibilityover 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 termpreservation

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

7. 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

8. Technology enhanced learning (2/2) Approach: • Cross-disciplinary (cognitive, organisational, pedagogical, technological aspects) • Provide a body ofevidence 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 people’s and organisations’ ability to master knowledge and apply it • Increased knowledge worker productivity, • More efficient organisational learning processes

9. Contacts and further information • INFSO – E3: Learning and Cultural Heritage http://cordis.europa.eu/ist/telearn-digicult/index.html Patricia Manson • Cultural Heritage http://www.cordis.lu/ist/digicult/index.html infso-digicult@ec.europa.eu Carlos Oliveira • Technology-enhanced Learning http://cordis.europa.eu/ist/telearn/index.html infso-telearn@ec.europa.eu Marco Marsella

10. 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

11. 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

12. Themes RTD: • Authoring • Workflow • Personalisation • Semantics • Knowledge Networking, validation & socio economics • Community building • Take-up

13. 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

14. 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

15. 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

16. What we don’t 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

17. 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@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