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IST work-programme 2005-06. “Semantic based Knowledge & Content Systems” develop semantic-based and context-aware systems to acquire, organise, personalise, share and use the knowledge embedded in web and multimedia content maximise automation of the knowledge lifecycle
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IST work-programme 2005-06 “Semantic based Knowledge & Content Systems” • develop semantic-based and context-aware systems to acquire, organise, personalise, share and use the knowledge embedded in web and multimedia content • maximise automation of the knowledge lifecycle • achieve semantic interoperability between heterogeneous information resources and services • pioneer intelligent content, which is self-describing, adaptive to context and user needs, and exhibits a seamless interaction with its surroundings and the user • knowledge acquisition and modelling • knowledge sharing and use • intelligent content
1. Knowledge acquisition and modelling • capture knowledge from raw, multimedia and web content (“add 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 reuse • from information to actionable meaning (“exploit semantics”) • data integration as well as application integration • inferencing and reasoning over networked information • beyond static knowledge • modelling of dynamic knowledge: from data through processes and workflows to semantic unification • semantic interoperability across organisations: shared knowledge spaces, collaborative environments • semantic Web Services as well as metadata based content access and management • integrative researchaimed at showcases for information-bound sectors: (e-)business, manufacturing, new media, e-science • approx. 50 Meuro funding
3. Intelligent content • pioneering 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) and proof-of-the-concept methods and tools for • “automated” creation, management, personalisation … • of different content types, in different usage scenarios • commercial, corporate, educational, scientific • approx. 30-35 Meuro funding
Interested? • planned 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 material • available from mid-November http://www.cordis.lu/ist/directorate_e/kmcc/index.htm • email based pre-proposal feedback • available from mid-Nov until mid-Feb inquiries: Brian.Macklin@cec.eu.int
Knowledge, Content and Semantics within FP6-IST A broad overview Scope & focus in 2005 DG Information SocietyUnit E.2xxxx.xxxx@cec.eu.int
Overview • IST workprogramme update • nearly 2 Beuro available for new projects in 2005-06 • 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 early November onward • IST conference and exhibition: 15-17 November,The Hague
Semantic Web If a scalable way to add semantics to the World Wide Web (WWW) can be found, the Semantic Web will create a world where agents, search engines, and other programs can read semantic markup to decipher the real meaning of a web page. Semantic Web-aware agents will be able to retrieve computer readable facts, integrate and reason about those facts, answer questions, solve problems, and generally bring a new level of intelligence to the WWW that is unimaginable with today’s technology. CyCorp Inc., April 2004
Semantics As the integration and interoperability increases between different sectors, the need for semantics also increases as a mediator between the structure and content of the different knowledge bases. There will be a need, not just for semantics to mediate the structure and content, but also for the services themselves. The use of semantics is not confined to just the application sectors. Semantics will also be necessary to compose, federate and create complex services. ISTAG-WG8 report, March 2004
Key contributing developments • semantic Web & multimedia • distributed computing & information resources • AI & knowledge representation • “real-life” reasoning systems • agents & multi-agent frameworks • machine learning • information retrieval & extraction • information & database methods • natural language, image & signal processing • …
IST work-programme 2005-06 “Semantic based Knowledge & Content Systems” • develop semantic-based and context-aware systems to acquire, organise, personalise, share and use the knowledge embedded in web and multimedia content • maximise automation of the knowledge lifecycle • achieve semantic interoperability between heterogeneous information resources and services • pioneer intelligent content, which is self-describing, adaptive to context and user needs, and exhibits a seamless interaction with its surroundings and the user • knowledge acquisition and modelling • knowledge sharing and use • intelligent content
Semantic based Knowledge &Content Systems • aimed at intersection of WWW, multimedia, semantic Web and Web Services domains • merger and recasting of two previously separated Strategic Objectives: • semantic based knowledge (call 1) • cross media content (call 2) • broad constituency: 200+ submissions in 2003-04, 800+ Meuro requested, 33 proposals retained for funding • 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 modelling • capture knowledge from raw, multimedia and web content (“add 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 modelling • over time, close gap between text and other content types • images, video, sound (music, broadcast news), 3D objects • cross-lingual and cross/multi-media • usable although possibly imperfect solutions for sectoral semantic webs • real[istic] setting (data, users), challenging context • methods, tools and sub-systems to be integrated within larger 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 reuse • from information to actionable meaning (“exploit semantics”) • data integration as well as application integration • inferencing and reasoning over networked information • beyond static knowledge • modelling of dynamic knowledge: from data through processes and workflows to semantic unification • semantic interoperability across organisations: shared knowledge spaces; collaborative environments • semantic Web Services as well as metadata based information/content access and management • integrative researchaimed at showcases for information-bound sectors: (e-)business, manufacturing, new media, e-science • approx. 50 Meuro funding
Knowledge sharing and reuse • data integration • across different data models and systems • metadata, ontologies and reasoning for semantic enabled distributed information holdings • question answering, problem solving, decision support … • application integration • semantic Web Services • collaborative environments spanning across organisations/ within distributed communities • showcases - systems integration & interoperability • usable, scalable, replicable • real data, real users/problems, legacy systems • knowledge intensive tasks: executive, engineer, analyst, scientist
3. Intelligent content • pioneering 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) and proof-of-the-concept methods and tools for • “automated” creation, management, personalisation … • of different content types, in different usage scenarios • commercial, corporate, educational, scientific • approx. 30-35 Meuro funding
Intelligent content • foundational 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. • 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
Instruments • Integrated 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 • STREPs • 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 excellence • from S&T excellence to critical mass: stimulate convergent research agendas, strengthen collaboration • 5-6 core partners, 3 years, 3-4 Meuro funding
Instruments • Integrated projects • result oriented • solid industry/academia partnership • user drive and feedback • STREPs • problem oriented • skills mix as dictated by S&T challenges • Networks of excellence • community orientated • mostly academic, with industrial ties
Interested? • planned 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 material • available from mid-November http://www.cordis.lu/ist/directorate_e/kmcc/index.htm • email based pre-proposal feedback • available from mid-Nov until mid-Feb inquiries: Brian.Macklin@cec.eu.int