ICT-2007.4.2 (ICT-2007.4.4): Intelligent Content and Semantics
Target outcome
Medium term:
- Advanced authoring environments for the creation of novel forms of interactive
and expressive content enabling multimodal experimentation and non-linear
story-telling. These environments will ease content sharing and remixing,
also by non-expert users, by automatically tagging content with semantic metadata
and by using open standards to store it in networked repositories supporting
symbolic and similarity-based indexing and search capabilities, for all content
types.
- Collaborative automated workflow environments to manage the lifecycle of
novel and legacy media and enterprise content assets, from the acquisition
of reference materials to the versioning, packaging and repurposing of complex
products, including their linguistic and cultural adaptation to target markets
and user groups. Empirical results from the psychology of human perception
and attention will be used to identify salient multimedia segments and apply
summarisation and encoding schemes that will improve content storage and transmission
without affecting its perceptual properties.
- Architectures and technologies for personalised distribution, presentation
and consumption of self-aware, adaptive content. Detecting and exploiting
emergent ambient intelligence they will use features embedded in content objects
and rendering equipment to enable dynamic device adaptation, immersive multimodal
experiences and contextual support of user goals and linguistic preferences.
Privacy preserving learning algorithms will analyse user interactions with
devices and other users so as to update and effectively serve those goals
and preferences.
- Actions geared towards community building, intended to stimulate cross-disciplinary
approaches and a more effective user/supplier dialogue, and other measures,
including field validation and standards, aimed at a faster uptake of research
results. Usability and technology assessment studies, economic analyses and
roadmaps to chart the democratisation of personal and community based multimedia
production and management tools.
Longer term:
- Semantic foundations: probabilistic, temporal and modal modelling and approximate
reasoning through objective-driven research moving beyond current formalisms
Theoretical results will be matched by robust and scalable reference implementations.
Usability and performance will be tested through large scale ontology mediated
Web integration of heterogeneous, evolving and noisy or inconsistent data
sources ranging from distributed multimedia repositories to data streams originating
from ambient devices and sensors, supporting real time resolution of massive
numbers of queries and the induction of scientific hypotheses or other forms
of learning.
- Advanced knowledge management systems for information-bound organisations
and communities, capable of extracting actionable meaning from structured
and unstructured information and social interaction patterns, and of making
it available for activities ranging from information search through conceptual
mapping to decision making. Such systems will exploit semantics embedded in
multimedia objects, data streams and ICTbased processes, and rely on formal
policies to manage user access as well as audit trails in support of dynamic
virtual organisations. Research advances will be embedded within end-to-end
systems using computer-tractable knowledge in support of dynamic data and
application integration, automation and interoperation of business processes,
automated diagnosis and problem-solving in a variety of domains. Robustness,
scalability and flexibility will be tested in real-life settings, together
with interworking with legacy systems.
Expected impact
These activities will make digital resources that embody creativity and semantics
easier and more cost-effective to produce, organize, search, personalise, distribute
and (re)use, across the value chain.
- Creators will be able to design more participative and communicative forms
of content.
- Publishers in creative industries, enterprises and professional sectors
will increase their productivity with innovative content of greater complexity
and ease of repurposing.
- Organisations will be able to automate the collection and distribution of
digital content and machine-tractable knowledge and share them with partner
organisations in trusted collaborative environments.
- Scientists will operate more efficiently by automating the link between
data analysis, theory and experimental validation.
Funding schemes CP, NoE, CSA
Indicative budget distribution 44 M€:
- CP 40 M€ of which a minimum of 17 M€ to IP and a minimum of 10
M€ to STREP;
- NoE 1 M€;
- CSA 3 M€