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Information & Communication Technologies

Technologies for Information Management

FP7 ICT-2009.4.3: Intelligent Information Management

The Information and Communication Technologies (ICT) Work Programme under the Seventh Framework Programme (FP7) is divided into seven 'Challenges ' of strategic interest to European society, plus research into Future and emerging technologies (FET), and support for horizontal actions, such as international cooperation.

Find here the Excerpts for Challenge 4, Strategic Objective 3: Intelligent Information Management.


Digital content is today being produced in quantities that are deeply transforming the enterprise and the creative industries. Conditions for production and consumption are also rapidly changing as more and more content is produced by users. Organisations, public and private, are faced with maintaining, managing and exploiting increasing amounts of data and knowledge, in environments that are continually changing. New ways of expressing and representing organisational and scientific content in digital form are creating new opportunities for people to extract value from shared assets.

Progress in knowledge modelling and processing has enabled the creation of innovative commercial and community services and is progressively transforming scientific discovery. Semantic web technologies are likewise starting to be used on an industrial scale by information providers and search engines alike to offer more sophisticated services following a trend to conceptualise and produce digital content as a container of rich objects that can be individually selected and manipulated. Formally acconting for their associated semantics is needed to guarantee the integrity and authenticity of the information as originally recorded.

If these challenges are met, richer content can bring new opportunities to the exploitation and sharing of Europe's rich knowledge based (and particularly scientific) resources. New services will enable the aggregation and annotation of objects available in distributed digital repositories. 3D and visualisation will support exploratory data analysis and decision making.

Research under this Challenge should take into consideration relevant technologies and other results from successfully completed or ongoing projects.

Target outcomes

a) Capturing tractable information : robust and performant technologies to acquire, analyse and categorise extremely large, rapidly evolving and potentially conflicting and incomplete amounts of information. These technologies will extract, correlate and integrate data from diverse sources and formats (multimedia and 3D content; heterogeneous databases; data streams from sensors and scientific equipment; social interactions and networked appliances; information from business processes and software services) while tracing provenance, evaluating trust level and assessing reliability. The scalability, flexibility and performance of such methods and techniques will be demonstrated by rigorous empirical testing over large-scale testbeds.

b) Delivering pertinent information : usable and customisable systems to improve the efficiency of the information lifecycle, starting from proactive diagnoses of information gaps and triggering goal-dependent search, acquisition, structuring and aggregation of relevant local, remote and streaming resources. Managing this information and making it actionable requires large-scale reasoning resulting in effective ranking, profiling and interpretation as well as versioning for time-dependent compliance and justification. Such systems will support the navigation, manipulation and consumption of digital information by means of adaptive user-information interactions based on the state of the art in the psychology of human perception and attention. The effectiveness of such systems will be validated with appropriately-sized groups or communities of representative users.

c) Collaboration and decision support : efficient and dependable problem solving and decision support systems for critical, information-bound domains in which our ability to share and exploit information is outstripped by the rate of its growth in size and complexity. Intended beneficiaries include organisations with complex business processes and access control policies; scientific communities collaborating on challenging projects and building very large datasets; teams of professional creators working on complex designs or multimedia materials; and web communities with sophisticated cooperation needs. The effectiveness of such solutions will be tested against the requirements of the
respective groups or communities.

d) Personal sphere : intuitive systems that help individuals secure, manage, visualise and interpret their personal information, attention trail and social history so as to enable the provision of personalised and context-dependent information from multiple sources and services. A specific requirement and design principle is that such systems preserve privacy and implement auditable information disclosure policies that are under user control and whose application can be verified at all times. Their usability and rate of uptake will be monitored by means of verifiable quantitative indicators.

e) Impact and S&T leadership : networks and other initiatives designed to link technology suppliers, integrators and leading user organisations. These actions will help develop a common understanding, including vis-à-vis neighbouring disciplines, and ensure proactive cross-fertilisation between EU projects and other relevant industrial and national
activities. They will address barriers hindering a wider deployment of research results, work towards establishing or advancing widely recognised standards, reference architectures and benchmarks, and increase awareness of the potential of the technologies at stake within broader audiences.

Expected impact

  • Better leveraging of human skills, improved quality and quantity of output and reduced time and cost allowing users to concentrate on more creative and innovative activities.
  • Increased ability to identify and respond appropriately to evolving conditions (e.g. in finance, epidemiology, environmental crises …) faster and more effectively. Reinforced ability to collaboratively evolve large-scale, multi-dimensional models from the integration of independently developed datasets.
  • Higher levels of information portability and reuse by creating an ecology of systems and services that are dynamic, interoperable, trustworthy and accountable by design.
  • Increased EU competitiveness in the global knowledge economy by fostering standards-based integration and exploitation of information resources and services across domains and organisational boundaries.
  • Strengthened EU leadership at every step of the computer-aided information and knowledge management lifecycle, creating the conditions for the rapid deployment of innovative products and applications based on high quality content.

Upcoming Call

The FP7 ICT Call 5 has closed.

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