knowledge technologies 2002-2006 s&t content scope & focus in 2003 franco mastroddi dg...
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Knowledge Technologies2002-2006
Knowledge Technologies2002-2006
S&T ContentS&T Content
Scope & focus in 2003Scope & focus in 2003
Franco MastroddiFranco MastroddiDG Information SocietyDG Information Society
S&T ContentS&T Content
Scope & focus in 2003Scope & focus in 2003
Franco MastroddiFranco MastroddiDG Information SocietyDG Information Society
Technology & usage shifts Technology & usage shifts
“Ambient Intelligence” tomorrow
• Devices, sensors, actuators
• Broadband, wireless multimedia
• Visual, intuitive, immersive content
• >70% ?
• Billions of tagged, networked objects
• Context-based knowledge handling
• The executable, extended X-Internet
IST today
• PC based
• Low bandwidth
• Content is linear
• <10% world population on-line
• Objects are just objects
• Search engines are word-based
• Web “dumb, boring and isolated”*
Sources: Forrester Ceo*, BTExact, NUAInternet, GartnerSources: Forrester Ceo*, BTExact, NUAInternet, Gartner
ChallengesChallenges
• information overloadinformation overload• massive, heterogeneous data sets• unstructured documents (eg e-mails)
• new forms of contentnew forms of content• software programs, sensors, ambient devices …
• complex work processescomplex work processes• collaborative work flows • monitoring guidelines
• corporate knowledge practicescorporate knowledge practices• the “zero-latency organisation”, shared KM
• blur between content & servicesblur between content & services• Napster: music or P2P?
Socio-economic objectivesSocio-economic objectives
• improve impact of KT on business improve impact of KT on business & organisations& organisations
• innovation, productivity & creativity
• better exploitation of resources, tacit vs. explicit knowledge
• improved methods & skillsimproved methods & skills
• automating knowledge flows
• more collaborative processes, networked organisations & virtual knowledge communities
intelligent services & applicationsintelligent services & applications
Key contributing developmentsKey contributing developments
• Semantic Web - plus multimediaSemantic Web - plus multimedia
• GRID / “X-Internet”GRID / “X-Internet”
• AI & knowledge representationAI & knowledge representation
• information / database methodsinformation / database methods
• agents, multi-agent frameworksagents, multi-agent frameworks
• ““real-life” reasoning systemsreal-life” reasoning systems
• machine learning machine learning
• modelling & optimisationmodelling & optimisation
• natural language processing …natural language processing …
(Draft) Work-programme 2003-2004(Draft) Work-programme 2003-2004
Objective:
To develop semantic-based and context-aware systems to acquire, organise, process, share and use the knowledge embedded in multimedia content. Research will aim to maximise automation of the complete knowledge lifecycleand achieve semantic interoperability between Web resources and services.
Theme Type Foundational research
Component-level
research
System-level
research
Semantic-enabled systems and services Knowledge-based adaptive systems
Research theme #1Research theme #1
• Semantic-enabled systems & servicesSemantic-enabled systems & servicesfor the next-generation Web(s)
• semantic Webs within and across organisations, communities of interest …
• smart Web services
• automated, self-organising, robust & scaleable
• offering
– networked knowledge discovery
– multimedia content mining
– content-based retrieval across heterogeneous databases, platforms & networks
– information visualisation
– …
Semantic-enabled systemsand services
Semantic-enabled systemsand services
Documents Databases Email Web People Other Resources
Knowledge discovery Knowledge sharing
Virtual Information and Knowledge Environmentsand the
“Semantic Layer / Middleware”
Human Human
Machine-Machine
Research theme #2Research theme #2
• Knowledge-based adaptive systemsKnowledge-based adaptive systems
• reasoning over / acting on
• large volumes of dynamic dataand information
• under uncertain or fuzzy boundary conditions, guidelines etc
• for
• decision support
• highly dynamic & time-critical applications
• modelling & optimisation
• “anytime-anywhere inferencing”
1934
2004
Knowledge-based adaptive systems
Knowledge-based adaptive systems
Send the snow-cats or not?
Urban planning
Clinical guidelines support
Smart product development.
2000-2002 DecisionCraft Analytics Ltd.
Modelling finance markets
for industry, science, for industry, science, education … applicationseducation … applications
Accurately predicting arrival times for aircraft. - NASA - CTAS.
KT - Basic researchKT - Basic research
• Foundational researchFoundational research
• formal k- models, methods & languages
• ontology lifecycle (“ecology”)• methods & tools for creating and maintaining
extensible & interoperable ontologies
– building domain/task specific ontologies
– bootstrapping broader, upper-level ontologies
– catering for multimedia & multilingual aspects
• standards for semantic interoperability• between Web data, services & process descriptions
• between SemWeb, metadata & multimedia coding
Ontologies can vary enormously in size. Class, Property or Instance can range from 1-1000s...
KT – Component level researchKT – Component level research
• Component-level researchComponent-level research into baseline functions & toolsets
• across media / content types
• within common reference architectures
• automated knowledge acquisition
• semantic annotators
• intelligent Web scrapers or harvesters• semantic search engines • multimedia summarizers• user-friendly editors• visual assistants• natural language tools (eg filtering & routing)• …
KT – System level researchKT – System level research
• System integration & validationSystem integration & validation
• tying together components into innovative end-to-end systems or services with
• enhanced reasoning capability
• over large-scale & multi-dimensional data sets
• more collaborative/community knowledge sharing
• addressing performance & effectiveness, user acceptance, ease of integration/customisation, impact on processes & legacy systems …
• additionality of applicative showcases• multi-sectoral (reusability & replicability)
• multi-lingual & multi-cultural
KT – System level researchKT – System level research
• Candidate areas - purely indicative!Candidate areas - purely indicative!
• scientific & technical resource discovery
• personal & collective memory systems
• multimedia content mining across the Web
• business intelligence
• technology watch
• corporate portals & intranets
• …
Should have multi-sector potential, in progressive areas - beyond state-of-the-art
Supporting issuesSupporting issues
• Research infrastructure
• metrics & benchmarking, test-bed data sets
• public domain ontologies & open source toolsets
• registries & locator services
• training (researchers, integrators, leading users) …
• Socio-economic issues
• usability, guides & best practice
• new business & revenue models
• awareness & user/supplier dialogue …
• Global reach
• international co-operation …
Who has expressed interest? Who has expressed interest?
• 120+ EoI’s received for KT 120+ EoI’s received for KT
• 64% IPs, 36% NoEs (IST average)
• focussing mostly on • Semantic Web technologies & intelligent Web services• knowledge modelling & reasoning in industry / science
• average size consortium: 10-20 (IPs), 20-40 (NoEs)
• 70% research organisations
• “users” from• media & industry (eg product design, decision support)• information/content rich sectors (eg health, environment,
transport)
• Somewhat narrow NoEs
• Relatively few “genuine” IPs …
ConclusionConclusion
• The vision: the Web as a semantically-annotated resource shared by humans, software agents & networked devices
• Two intertwined goals:
• basic research: “understand” content, master knowledge embedded in multimedia objects
• applied research: enable smarter, next-generation Internet applications
• From long-term research through to exemplary applicative showcases
• Strong multidisciplinarity with many constituent disciplines & technologies; significant integration issues
Stay in touch!Stay in touch!
• Main IST Web site:Main IST Web site: www.cordis.lu/ist/fp6/fp6.htm
FP6 reference documents & guides: www.cordis.lu/rtd2002/
europa.eu.int/comm/research/fp6/networks-ip.html
Knowledge Technologies Web site: www.cordis.lu/ist/ka3
www.ktweb.org
National contact points: www.cordis.lu/fp5/src/ncps.htm
• EC staff in Luxembourg:
• general: [email protected]
• specific: [email protected]