IST work-programme “Semantic based Knowledge & Content Systems” “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 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 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 pioneer intelligent content, which is self-describing, adaptive to context and user needs, and exhibits a seamless interaction with its surroundings and the user 1. knowledge acquisition and modelling 2. knowledge sharing and use 3. intelligent content

1. Knowledge acquisition and modelling capture knowledge from raw, multimedia and web content (“add semantics”) 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 Meuro funding

2. Knowledge sharing and reuse from information to actionable meaning (“exploit semantics”) from information to actionable meaning (“exploit semantics”) data integration as well as application integration inferencing and reasoning over networked information beyond static knowledge 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 interoperability across organisations: shared knowledge spaces, collaborative environments semantic Web Services as well as metadata based content access and management integrative research aimed at showcases for information- bound sectors: (e-)business, manufacturing, new media, e-science integrative research aimed 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: 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 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 Meuro funding

Interested?Interested? planned workshops and info sessions planned workshops and info sessions IST conference, The Hague15-17 Nov EWIM workshop, London25-26 Nov call info session, Luxembourg16 Dec other events at national level call background material call background material available from mid-November based pre-proposal feedback based pre-proposal feedback available from mid-Nov until mid-Feb inquiries: inquiries:

Knowledge, Content and Semantics within FP6-IST A broad overview Scope & focus in 2005 DG Information Society Unit E.2 A broad overview Scope & focus in 2005 DG Information Society Unit E.2

Overview IST workprogramme update IST workprogramme update nearly 2 Beuro available for new projects in 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 early November onward presentations and info sessions scheduled from early November onward IST conference and exhibition: 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

SemanticsSemantics 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 semantic Web & multimedia distributed computing & information resources distributed computing & information resources AI & knowledge representation AI & knowledge representation “real-life” reasoning systems “real-life” reasoning systems agents & multi-agent frameworks agents & multi-agent frameworks machine learning machine learning information retrieval & extraction information retrieval & extraction information & database methods information & database methods natural language, image & signal processing natural language, image & signal processing …

IST work-programme “Semantic based Knowledge & Content Systems” “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 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 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 pioneer intelligent content, which is self-describing, adaptive to context and user needs, and exhibits a seamless interaction with its surroundings and the user 1. knowledge acquisition and modelling 2. knowledge sharing and use 3. intelligent content

Semantic based Knowledge & Content Systems aimed at intersection of WWW, multimedia, semantic Web and Web Services domains aimed at intersection of WWW, multimedia, semantic Web and Web Services domains merger and recasting of two previously separated Strategic Objectives: merger and recasting of two previously separated Strategic Objectives: semantic based knowledge (call 1) cross media content (call 2) broad constituency: 200+ submissions in , 800+ Meuro requested, 33 proposals retained for funding broad constituency: 200+ submissions in , 800+ Meuro 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 modelling capture knowledge from raw, multimedia and web content (“add semantics”) 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 Meuro funding

Knowledge acquisition and modelling over time, close gap between text and other content types 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 usable although possibly imperfect solutions for sectoral semantic webs real[istic] setting (data, users), challenging context real[istic] setting (data, users), challenging context methods, tools and sub-systems to be integrated within larger systems & applications 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”) from information to actionable meaning (“exploit semantics”) data integration as well as application integration inferencing and reasoning over networked information beyond static knowledge 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 interoperability across organisations: shared knowledge spaces; collaborative environments semantic Web Services as well as metadata based information/content access and management integrative research aimed at showcases for information- bound sectors: (e-)business, manufacturing, new media, e-science integrative research aimed at showcases for information- bound sectors: (e-)business, manufacturing, new media, e-science  approx. 50 Meuro funding

Knowledge sharing and reuse data integration 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 application integration semantic Web Services collaborative environments spanning across organisations / within distributed communities showcases - systems integration & interoperability 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: 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 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 Meuro funding

Intelligent content foundational and component R&D 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. 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

InstrumentsInstruments Integrated projects Integrated projects multi-faceted endeavours: R&D, demonstration, (internal / external) training, dissemination, standardisation… high impact, exploitation and replicability partners, 5+ countries, 4 years, 6-12 Meuro funding STREPs 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 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

InstrumentsInstruments Integrated projects Integrated projects result oriented solid industry/academia partnership user drive and feedback STREPs STREPs problem oriented skills mix as dictated by S&T challenges Networks of excellence Networks of excellence community orientated mostly academic, with industrial ties

What kind of project?

Interested?Interested? planned workshops and info sessions planned workshops and info sessions IST conference, The Hague15-17 Nov EWIM workshop, London25-26 Nov call info session, Luxembourg16 Dec other events at national level call background material call background material available from mid-November based pre-proposal feedback based pre-proposal feedback available from mid-Nov until mid-Feb inquiries: inquiries: