Find the most recent information on EU Funding activities in the field of Information and Communication Technologies (ICT) by visiting our ICT in FP7 website, which covers ICT in the 7th Framework Programme (FP7) 2007 - 2013.
Please note: This page is no longer updated.
Visit 'Content and Knowledge' on FP7 ICTWeb, which is your new entry page to Intelligent Content and Semantics in the Seventh Framework Programme.
Please note: The FP6 IST Project Synopses are updated on an ongoing basis.
Visit the FP6 Project portfolio, for news on progress and results in the Sixth Framework Programme.
Our mission is to support the development of semantic-based and context-aware technologies that will provide automated solutions for knowledge representation, acquisition and management. Research work combines knowledge, multimedia and Web technologies as well as natural language and image processing techniques aimed at enabling capabilities such as multimedia content mining, knowledge sharing across organisation and communities, and automated information analysis and decision support in knowledge-intensive applications.
The unit is also charged with research on technologies to support the creation of new forms of digital content, such as 3D environments and streaming media, and virtual and augmented reality for interactive applications, as well as management and manipulation of content across different networks and devices, notably for customised broadcasting, leisure and entertainment applications.
The goal of this research is to capture human knowledge in a format that can be used by computers to behave as knowledgeably and intelligently as a human expert would and to structure content in ways that make it possible to assemble and deliver it dynamically with regards to the context of the content consumer.
When this goal will be reached, computer applications will be able to make sense of resources (text, pictures, streaming audio/video, web objects) or requests (from humans or other programs) in the way a human would. This by recognizing or correctly conceptualizing entities or situations of interest and reacting in ways appropriate to your goals. For example by:
- pointing out to you that a certain document is relevant to a task you need to carry out,
- reasoning about your medical history to advise against taking medicine X together with medicine Y,
- identifying opportunities for volunteer work which you may find fulfilling,
- composing news segments from raw footage or creative game storylines from a description of available characters ...
Fostering the development of such applications is part of the Commission's strategy to achieve the 'Lisbon objectives': building a knowledge infrastructure to turn Europe into the most advanced knowledge based society and economy.
In the context of the Commission's current research programme (the 6th Framework Programme, or FP6) the scope of activities of unit E2 is quite extensive: it already funds 57 projects for a total of about 260 million Euros.
Detailed Project Synopses can be found in the FP6 Project portfolio.
The unit has organized its FP6 activities along three primary research themes:
1. knowledge acquisition: what are the basic conceptual blocks needed to represent human knowledge in a given domain (often referred to as 'ontologies') and how can they be automatically extracted from existing resources (textual documents, multimedia assets, databases)?
2. knowledge sharing: given a repository of resources that understand their own content because they have been annotated by means of an ontology (e.g. a video segment that 'knows' it contains instructions on how to repair a photocopier jam), what kind of systems can be built to ensure that the right knowledge is made available to the right people, and indeed effectively shared between them?
3. intelligent content: given a repository of resources that understand their own content what kind of systems can be built to compose from them ever more sophisticated resources that could dynamically reconfigure themselves in response to user's needs or context?
Each of the three themes can in turn be pursued along one or more of three levels:
1. foundational/research: what are the formal properties of ontologies and the programs that can be used to reason about knowledge encoded in terms of such ontologies? What properties of human languages or perceptual data can be exploited to extract formally annotated knowledge from text/multimedia? What protocol stacks best support the integration of these functionalities?
2. component development: how does one build modular, robust and interoperable software components that can produce a formal representation of the content of text/multimedia (or enable the efficient editing of such representations) and reason about the models so extracted? Is it possible to build applications that conform to the protocol stacks mentioned above?
3. system integration/validation: how does one assemble software components as those discussed above into (possibly distributed) applicative platforms with acceptable performance, flexibility, robustness and scalability?