IST work-programme 2005-06IST work-programme 2005-06

““Semantic based Knowledge & Content Systems”Semantic based Knowledge & Content Systems”

• develop develop semantic-based and context-aware systemssemantic-based and context-aware systems to to acquire, organise, personalise, share and use the knowledge acquire, organise, personalise, share and use the knowledge embedded in web and multimedia contentembedded in web and multimedia content

• maximise automation of the knowledge lifecycle

• achieve achieve semantic interoperabilitysemantic interoperability between heterogeneous between heterogeneous information information resources and servicesresources and services

• pioneer pioneer intelligent contentintelligent content, which is self-describing, adaptive , which is self-describing, adaptive to context and user needs, and exhibits a seamless to context and user needs, and exhibits a seamless interaction with its surroundings and the userinteraction with its surroundings and the user

1.1. knowledge acquisition and modellingknowledge acquisition and modelling

2.2. knowledge sharing and useknowledge sharing and use

3.3. intelligent contentintelligent content

1. Knowledge acquisition and modelling1. Knowledge acquisition and modelling1. Knowledge acquisition and modelling1. Knowledge acquisition and modelling

• capture knowledge from raw, multimedia capture knowledge from raw, multimedia and web content (“and web content (“add semanticsadd semantics”)”)

• turn today’s poorly structured information into computer processable knowledge

• components and sub-systems aimed at “content harvesting, search & categorisation”, for all types of digital content

• interoperable ontologies for semantic webs, ontology maintenance and evolution, data driven approaches

• not full “understanding”, as much “semantics” and “content annotation / interpretation” as is takes …

approx 35-40 Meuro funding

2. Knowledge sharing and reuse2. Knowledge sharing and reuse2. Knowledge sharing and reuse2. Knowledge sharing and reuse

• from information to actionable meaning from information to actionable meaning (“(“exploit semanticsexploit semantics”)”)• data integration as well as application integration

• inferencing and reasoning over networked information

• beyond static knowledgebeyond static knowledge• modelling of dynamic knowledge: from data through

processes and workflows to semantic unification

• semantic interoperability across organisations: shared semantic interoperability across organisations: shared knowledge spaces, collaborative environmentsknowledge spaces, collaborative environments• semantic Web Services as well as metadata based

content access and management

• integrative researchintegrative research aimed at aimed at showcasesshowcases for for information-bound sectors: (e-)business, manufacturing, information-bound sectors: (e-)business, manufacturing, new media, e-sciencenew media, e-science

approx. 50 Meuro fundingapprox. 50 Meuro funding

3. Intelligent content3. Intelligent content3. Intelligent content3. Intelligent content

• pioneering path beyond today’s contentpioneering path beyond today’s content::• knowledge is created while content is created

• atomic content objects embody content proper, metadata / semantic descriptors, together with interface with “ambient intelligence”

• self-describing, context aware, reactive to stimuli

• communicate with user, digital and physical surroundings

• aggregate to create compound objects and rich content services

• unifying framework(s)unifying framework(s) and proof-of-the-concept and proof-of-the-concept methods and tools formethods and tools for

• “automated” creation, management, personalisation …

• of different content types, in different usage scenarios

• commercial, corporate, educational, scientific

approx. 30-35 Meuro fundingapprox. 30-35 Meuro funding

Interested?Interested?Interested?Interested?

• planned workshops and info sessionsplanned workshops and info sessions• IST conference, The Hague 15-17 Nov

• EWIM workshop, London 25-26 Nov

• call info session, Luxembourg 16 Dec

• other events at national level <tba>

• call background materialcall background material• available from mid-November

http://www.cordis.lu/ist/directorate_e/kmcc/index.htm

• email based pre-proposal feedbackemail based pre-proposal feedback• available from mid-Nov until mid-Feb

inquiries:inquiries: Brian.Macklin@cec.eu.int Brian.Macklin@cec.eu.int

Knowledge, Content and Knowledge, Content and Semantics within FP6-ISTSemantics within FP6-ISTKnowledge, Content and Knowledge, Content and Semantics within FP6-ISTSemantics within FP6-IST

A broad overviewA broad overview

Scope & focus in 2005Scope & focus in 2005

DG Information SocietyDG Information SocietyUnit E.2Unit E.2

xxxx.xxxx@cec.eu.intxxxx.xxxx@cec.eu.int

A broad overviewA broad overview

Scope & focus in 2005Scope & focus in 2005

DG Information SocietyDG Information SocietyUnit E.2Unit E.2

xxxx.xxxx@cec.eu.intxxxx.xxxx@cec.eu.int

OverviewOverview

• IST workprogramme updateIST workprogramme update

• nearly 2 Beuro available for new projects in 2005-06

• two main calls:two main calls:

• call 4 due for publication around mid-November

• closing date: 22 March 2005 (tbc)

• projects (1,1 Beuro) due to start January 2006

• call 5 expected to be published in May 2005

• projects (0,7 Beuro) due to start 3Q 2006

• presentations and info sessions scheduled from presentations and info sessions scheduled from early November onwardearly November onward

• IST conference and exhibition: 15-17 November,The Hague

Semantic WebSemantic WebSemantic WebSemantic Web

If a If a scalable way to add semanticsscalable way to add semantics to the World Wide to the World Wide Web (WWW) can be found,Web (WWW) can be found, the Semantic Web will create the Semantic Web will create a world where agents, search engines, and other a world where agents, search engines, and other programs can read semantic markup to decipher the programs can read semantic markup to decipher the real meaning of a web page. real meaning of a web page.

Semantic Web-aware agents will be able to retrieve Semantic Web-aware agents will be able to retrieve computer readable facts, integrate and reason about computer readable facts, integrate and reason about those facts, answer questions, solve problems, and those facts, answer questions, solve problems, and generally bring a new level of intelligence to the WWWgenerally bring a new level of intelligence to the WWW that is unimaginable with today’s technology.that is unimaginable with today’s technology.

CyCorp Inc., April 2004CyCorp Inc., April 2004

SemanticsSemanticsSemanticsSemantics

As the integration and interoperability increases As the integration and interoperability increases between different sectors, the need for semantics between different sectors, the need for semantics also increases as a also increases as a mediator between the structure mediator between the structure and content of the different knowledge basesand content of the different knowledge bases. . There There will be a need, not just for semantics to mediate the will be a need, not just for semantics to mediate the structure and contentstructure and content, but also for the , but also for the servicesservices themselves.themselves.

The use of semantics is not confined to just the The use of semantics is not confined to just the application sectors. Semantics will also be necessary application sectors. Semantics will also be necessary to compose, federate and create complex services.to compose, federate and create complex services.

ISTAG-WG8 report, March 2004ISTAG-WG8 report, March 2004

Key contributing developmentsKey contributing developments

• semantic Web & multimediasemantic Web & multimedia

• distributed computing & information resourcesdistributed computing & information resources

• AI & knowledge representationAI & knowledge representation

• ““real-life” reasoning systems real-life” reasoning systems

• agents & multi-agent frameworksagents & multi-agent frameworks

• machine learningmachine learning

• information retrieval & extractioninformation retrieval & extraction

• information & database methods information & database methods

• natural language, image & signal processingnatural language, image & signal processing

• ……

IST work-programme 2005-06IST work-programme 2005-06

““Semantic based Knowledge & Content Systems”Semantic based Knowledge & Content Systems”

• develop develop semantic-based and context-aware systemssemantic-based and context-aware systems to to acquire, organise, personalise, share and use the knowledge acquire, organise, personalise, share and use the knowledge embedded in web and multimedia contentembedded in web and multimedia content

• maximise automation of the knowledge lifecycle

• achieve achieve semantic interoperabilitysemantic interoperability between heterogeneous between heterogeneous information resources and servicesinformation resources and services

• pioneer pioneer intelligent contentintelligent content, which is self-describing, adaptive , which is self-describing, adaptive to context and user needs, and exhibits a seamless interaction to context and user needs, and exhibits a seamless interaction with its surroundings and the userwith its surroundings and the user

1.1. knowledge acquisition and modellingknowledge acquisition and modelling

2.2. knowledge sharing and useknowledge sharing and use

3.3. intelligentintelligent content content

Semantic based Knowledge &Content Systems

Semantic based Knowledge &Content Systems

• aimed at intersection of WWW, multimedia, semantic Web aimed at intersection of WWW, multimedia, semantic Web and Web Services domainsand Web Services domains

• merger and recasting of two previously separated Strategic merger and recasting of two previously separated Strategic Objectives:Objectives:

• semantic based knowledge (call 1)

• cross media content (call 2)

• broad constituency: 200+ submissions in 2003-04, 800+ broad constituency: 200+ submissions in 2003-04, 800+ Meuro requested, 33 proposals retained for fundingMeuro requested, 33 proposals retained for funding

• main features in 2005:main features in 2005:

• medium to long term R&D with short term by-products

• generic technologies and platforms, portable across application domains

• systems research, integration and interoperability

• ambitious user-orientated showcases

• shift in focus towards dynamic knowledge and active content

1. Knowledge acquisition and modelling1. Knowledge acquisition and modelling1. Knowledge acquisition and modelling1. Knowledge acquisition and modelling

• capture knowledge from raw, multimedia capture knowledge from raw, multimedia and web content (“and web content (“add semanticsadd semantics”)”)

• turn today’s poorly structured information into computer processable knowledge

• components and sub-systems aimed at “content harvesting, search & categorisation”, for all types of digital content

• interoperable ontologies for semantic webs, ontology maintenance and evolution, data driven approaches

• not full “understanding”, as much “semantics” and “content annotation / interpretation” as is takes …

approx 35-40 Meuro funding

Knowledge acquisition and modellingKnowledge acquisition and modellingKnowledge acquisition and modellingKnowledge acquisition and modelling

• over time, close gap between text and other over time, close gap between text and other content typescontent types• images, video, sound (music, broadcast news), 3D objects

• cross-lingual and cross/multi-media

• usable although possibly imperfect solutions for sectoral usable although possibly imperfect solutions for sectoral semantic webssemantic webs

• real[istic] setting (data, users), challenging contextreal[istic] setting (data, users), challenging context

• methods, tools and sub-systems to be integrated within methods, tools and sub-systems to be integrated within larger systems & applicationslarger systems & applications

• building on and reusing (integrating!) existing technology

• open architecture(s) and interworking

• definite exploitation prospects: open source, licensing agreements …

2. Knowledge sharing and reuse2. Knowledge sharing and reuse2. Knowledge sharing and reuse2. Knowledge sharing and reuse

• from information to actionable meaning from information to actionable meaning (“(“exploit semanticsexploit semantics”)”)• data integration as well as application integration

• inferencing and reasoning over networked information

• beyond static knowledgebeyond static knowledge• modelling of dynamic knowledge: from data through

processes and workflows to semantic unification

• semantic interoperability across organisations: shared semantic interoperability across organisations: shared knowledge spaces; collaborative environmentsknowledge spaces; collaborative environments• semantic Web Services as well as metadata based

information/content access and management

• integrative researchintegrative research aimed at aimed at showcasesshowcases for for information-bound sectors: (e-)business, manufacturing, information-bound sectors: (e-)business, manufacturing, new media, e-sciencenew media, e-science

approx. 50 Meuro fundingapprox. 50 Meuro funding

Knowledge sharing and reuseKnowledge sharing and reuseKnowledge sharing and reuseKnowledge sharing and reuse

• data integrationdata integration• across different data models and systems

• metadata, ontologies and reasoning for semantic enabled distributed information holdings

• question answering, problem solving, decision support …

• application integrationapplication integration• semantic Web Services

• collaborative environments spanning across organisations/ within distributed communities

• showcasesshowcases - systems integration & interoperability - systems integration & interoperability• usable, scalable, replicable

• real data, real users/problems, legacy systems

• knowledge intensive tasks: executive, engineer, analyst, scientist

3. Intelligent content3. Intelligent content3. Intelligent content3. Intelligent content

• pioneering path beyond today’s contentpioneering path beyond today’s content::• knowledge is created while content is created

• atomic content objects embody content proper, metadata / semantic descriptors, together with interface with “ambient intelligence”

• self-describing, context aware, reactive to stimuli

• communicate with user, digital and physical surroundings

• aggregate to create compound objects and rich content services

• unifying framework(s)unifying framework(s) and proof-of-the-concept and proof-of-the-concept methods and tools formethods and tools for

• “automated” creation, management, personalisation …

• of different content types, in different usage scenarios

• commercial, corporate, educational, scientific

approx. 30-35 Meuro fundingapprox. 30-35 Meuro funding

Intelligent contentIntelligent contentIntelligent contentIntelligent content

• foundational and component R&Dfoundational and component R&D• content coding/architectures, on-the-fly metadata extraction

• collaborative authoring

• metadata based access/management

• automated worklow

• aggregation and personalisation

• cross-platform delivery and rendering

• user control, content protection …

• system level R&D, e.g.system level R&D, e.g.• audio/visual production technologies and processes

• interactive digital broadcasting: d-cinema and next-generation television

• programming adaptable to different audiences, formats and delivery channels

• creative re-use and exploitation of audiovisual resources beyond original purpose

InstrumentsInstrumentsInstrumentsInstruments

• Integrated projectsIntegrated projects

• multi-faceted endeavours: R&D, demonstration, (internal / external) training, dissemination, standardisation…

• high impact, exploitation and replicability

• 10-15 partners, 5+ countries, 4 years, 6-12 Meuro funding

• STREPsSTREPs

• single-problem R&D, most appropriate to investigate new research avenues or competing approaches

• high innovation, high risk, potentially high reward

• 5-8 partners, 4+ countries, 3 years, 2-4 Meuro funding

• Networks of excellenceNetworks of excellence

• from S&T excellence to critical mass: stimulate convergent research agendas, strengthen collaboration

• 5-6 core partners, 3 years, 3-4 Meuro funding

InstrumentsInstrumentsInstrumentsInstruments

• Integrated projectsIntegrated projects

• result oriented

• solid industry/academia partnership

• user drive and feedback

• STREPsSTREPs

• problem oriented

• skills mix as dictated by S&T challenges

• Networks of excellenceNetworks of excellence

• community orientated

• mostly academic, with industrial ties

What kind of project?What kind of project?

Foundational

research

Component

level research

System level integration

I P Poss. Yes Yes

NoE Yes Poss. NR

STREP Yes Yes NR

NR = Not recommended Poss. = Possibility, if clearly justified Yes = Highly recommended

Interested?Interested?Interested?Interested?

• planned workshops and info sessionsplanned workshops and info sessions• IST conference, The Hague 15-17 Nov

• EWIM workshop, London 25-26 Nov

• call info session, Luxembourg 16 Dec

• other events at national level <tba>

• call background materialcall background material• available from mid-November

http://www.cordis.lu/ist/directorate_e/kmcc/index.htm

• email based pre-proposal feedbackemail based pre-proposal feedback• available from mid-Nov until mid-Feb

inquiries:inquiries: Brian.Macklin@cec.eu.int Brian.Macklin@cec.eu.int