The FP6 Process IPPA 5 ISTAG Orientations WP Calls texts Guides, etc.. Strategy documents Internal reflection groups 1/2/2002 1/4/2002 15/7/2002 6/06/02 IST Call 8 The institutional process: FP, SP, Council + EP Pgme Consultation Meetings Spring 2001 Events Call Express. of Interest
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The FP6 Process IPPA 5 ISTAG Orientations WP Calls texts Guides, etc.. Strategy documents Internal reflection groups 1/2/20021/4/200215/7/20026/06/02 IST.
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The FP6 Process
IPPA 5IPPA 5
ISTAG OrientationsWP
Calls texts
Guides, etc..
Strategy documents
Internal reflection groups
1/2/2002 1/4/2002 15/7/20026/06/02
IST Call 8
The institutional process: FP, SP, Council + EP
Pgme Consultation
Meetings
Spring 2001
EventsEvents
Call Express. of Interest
Call Express. of Interest
Knowledge technologies in IST - FP6
IST aim: Anywhere, anytime natural and enjoyable access to IST services for ALL
Miniaturised, low cost low power
components & µsytems
Natural interactionswith ‘ knowledge ’
Pervasive, mobile, wireless, trustful
infrastructures
Knowledge technologies
Knowledge technologies
Interfaces
Applied IST for major societal and economic challenges
Trust &Security
IST for societal challenges
IST for work & business
challenges etc
Generic IST research and technology development
1
10
100
1000
10000
100000
1000000
1975 1980 1985 1990 1995 2000 2005
Year
Wireless data (x Kbps)Processor Speed (MHz)
Internet Hosts (x K)
Web pages/images (x K)
IndividualCapacity
Intel, Commerce Net, AT&T and EC
Digital trends mean more data and information….
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
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
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
…"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 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 understanding of 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.
Documents Databases Email Web PeopleOther
Resources
Knowledge discovery Knowledge sharing
Virtual Information and Knowledge Environments& the
“Semantic Layer”
Human Human
Machine-Machine
One view of knowledge technologies:Automating communication & collaboration.
Space : distributed information systems
Another view: giving processes more autonomy.
Time: Reasoning systems
Guideline eligibility & monitoring
Guideline eligibility & monitoring
Critical systems control (machines, planes, power plants)
Critical systems control (machines, planes, power plants)
Scientific and technical discovery - data/text mining
Scientific and technical discovery - data/text mining
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
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
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.
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.
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 [email protected] (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:
Through the FP6 Expressions of Interest, Reference I.S.T.:
on Integrated Projects & Networks of Excellence by 7 June 2002 to [email protected] (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: