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The FP6 Process

The institutional process: FP, SP, Council + EP. Pgme Consultation Meetings. ISTAG Orientations. WP. Calls texts. Internal reflection groups. Guides, etc. IST Call 8. The FP6 Process. Strategy documents. Events. Call Express. of Interest. IPPA 5. Spring 2001. 1/2/2002.

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The FP6 Process

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  1. The institutional process: FP, SP, Council + EP Pgme Consultation Meetings ISTAG Orientations WP Calls texts Internal reflection groups Guides, etc.. IST Call 8 The FP6 Process Strategy documents Events Call Express. of Interest IPPA 5 Spring 2001 1/2/2002 1/4/2002 6/06/02 15/7/2002

  2. Trust & Security IST for societal challenges IST for work & business challenges etc Pervasive, mobile, wireless, trustful infrastructures Miniaturised, low cost low power components & µsytems Natural interactions with ‘ knowledge ’  Knowledge technologies in IST - FP6 Applied IST for major societal and economic challenges IST aim: Anywhere, anytime natural and enjoyable access to IST services for ALL Generic IST research and technology development Knowledge technologies Interfaces

  3. Individual Capacity Digital trends mean more data and information…. 1000000 Processor Speed (MHz) 100000 Wireless data (x Kbps) Internet Hosts (x K) 10000 Web pages/images (x K) 1000 100 10 1 1975 1980 1985 1990 1995 2000 2005 Year Intel, Commerce Net, AT&T and EC

  4. Longer-term Market drivers • need to process multi-platform, heterogeneous information flows cost-effectively: professional ‘knowledge workers’ spend average 8 hours per week processing external information (2001 U.S. Survey) • need to process information from real-time, real-world sources (e.g. from sensors, cameras, GIS) • need to integrate better I&K in complex work processes (e.g. Rolls-Royce design software) • need to exploit better existing data and information resources, e.g. computer-aided discovery, innovation engineering

  5. Towards a knowledge-based economy? • EU Lisbon Summit calls for k-based economy • Europe is well positioned in content production, linguistic and cultural diversity ... but risks to lag in I&K processing systems. More automation, more autonomy is needed at content level • Several areas at stake: • digital interactive media (TV, radio, PDA-based) • I&K services provision (B-Band Web, ‘Web-plus-mobile’, etc.) • e-business, work processes, innovation • e-learning, culture etc.

  6. Advanced Digital Content Semantic Web NLP Cognitive Systems Roadmap towards Knowledge Technologies F.P.6 paradigm: towards Knowledge Handling Exemplary applications in Culture, Government, Business, Education/Training, etc. FP5 paradigm: data and information handling

  7. FP5 projects by Technology Category - source IPPA 4 - Information handling. Visualisation, virtual reality µsystems Mobile µelectronics 12 -Internet technology Middleware Distrib. syst 5-Agent tech. 20- multi- modal 7-Content authoring 21- NLP

  8. FP6 focus • …"Knowledge technologies and digital content: The objective is to provide automated solutions for creating and organising virtual knowledge spaces (e.g. collective memories) so as to stimulate radically new content and media services and applications. Work will address: • technologies to support the process of acquiring and modelling, representing and visualising, interpreting and sharing knowledge. These functions will be integrated in new semantic-based and context-aware systems including cognitive and agent-based tools. • extensible knowledge resources and ontologies so as to facilitate service interoperability and enable next-generation Semantic-web applications”. • Extract from FP6 proposed Council Decision 2002-2006 Knowledge is broader and deeper than information. It refers to the human understandingof information, e.g. to compare it, draw consequences for decisions and actions, make connections with other bits of information, get value judgements and comments from other people.

  9. Virtual Information and Knowledge Environments & the “Semantic Layer” Documents Databases Email Web People Other Resources One view of knowledge technologies: Automating communication & collaboration. Human Human Machine-Machine Knowledge discovery Knowledge sharing

  10. Another view: giving processes more autonomy. Space : distributed information systems Time: Reasoning systems Adaptive e-business (specialisation / compositional) Scientific and technical discovery - data/text mining Critical systems control (machines, planes, power plants) Guideline eligibility & monitoring

  11. Candidate research topics • Industrialising the knowledge lifecycle, e.g. • semantic-based e-business and e-services • virtual information & knowledge environments ... • Digital content: Flexible media delivery and user-adaptation e.g. • cross-media / network publishing • digital asset management ... • Cognitive support systems e.g. • reasoning tools • cognitive vision ... Focus on upstream, generic, longer-term RTD, with exemplary applications in business, education, culture and general interest areas

  12. Who may be involved KT combines different branches of computer science, media and database technologies, computational linguistics, A.I. and cognitive systems, etc. • growing research at national level e.g. A.K.T. eScience/GRID, IT 2006, Know-Centre, INRIA, FhG, plus many academic centres. • large ICT and software houses, plus highly innovative new knowledge integrator companies. • content & media players, broadcast houses and archives plus sectoral industries and bodies which act as leaders. • fora e.g. W3C-Semantic Web, MPEG, ERCIM, and EU-sponsored e.g. OntoWeb, DELOS, KM Forum. • END USERS: are mainly in the Web, e-services, e-business, scientific & cultural communities. • USA: DARPA, NSF, MIT, IBM, Microsoft clearly engaged.

  13. Next step - Expressions of Interest Through the FP6 Expressions of Interest, Reference I.S.T.: • on Integrated Projects & Networks of Excellence • by 7 June 2002 to fp6-eoi2002@cec.eu.int (e-mail only) • confidentiality possible (but some non-confidential content...) • no individual response - an aggregate analysis • input used to help draw up workprogramme • set out: • needs, relevance, • ambition, scale, • integrating effect, excellence, • time-scales STARTING TODAY WITH YOUR IDEAS!!!

  14. And finally - to answer your first question What is the difference between data, information and knowledge? Where is the wisdom we have lost in knowledge? Where is the knowledge we have lost in information? … Where is the information we have lost in data? ….. And where is the data we have lost in the Internet? (an extrapolation of The Rock, by T.S.Eliot)

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