KD-ubiq - a blueprint for ubiquitous knowledge discovery systems

Objective

This coordination action will bring together newly emerging research in ubiquitous knowledge discovery.

Research areas are:
- data mining in mobile systems, wireless communication networks, calm technologies
- distributed architectures: distributed data mining, grid, P2P, autonomic computing,
- agents
- learning components: statistical learning (incl. online learning), evolutionary computing,
- anytime algorithms data types: spatio-temporal, stream, multimedia
- security and privacy: privacy preserving data mining, intrusion detection
- HCI and cognitive modelling: user interfaces of ubiquitous discovery systems

This multi-disciplinary approach constitutes a paradigm shift for the field of knowledge discovery since the idea of a standalone (desktop or workstation) analysis tool is abandoned in favour of process integrated, distributed and autonomous analysis systems. Work done in this area merely scratches the surface, is dispersed among several communities, and in a very early stage. Integration of the various sub-areas involves considerable risk. The CA KDubiq will act to close the gap and strengthen long-term research and applications in a new and future-oriented discipline ubiquitous knowledge discovery. It faces many new challenges, e.g. because of technical limitations in memory, CPU power, bandwidth etc, and can only succeed if privacy and security are addressed in a principled and multi-disciplinary manner.

Objectives are to identify new research challenges, emerging from the changing nature of information and information sources: achieving the vision of ubiquitous knowledge discovery as a transparent set of tools, to be exploited everywhere, anytime, by all to derive strategic guidelines for long-term research by blueprint editing to structure and support emerging multi-disciplinary communities to identify and foster new emergent technologies to be transferred to industry to provide an information service for, students, scientists, industry.

Fields of science

• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › computer hardware › computer processors
• natural sciences › computer and information sciences › data science › data mining

Programme(s)

• FP6-IST - Information Society Technologies: thematic priority under the specific programme "Integrating and strengthening the European research area" (2002-2006).

Topic(s)

• IST-2002-2.3.4.1 - FET - Open

Call for proposal

Data not available

Funding Scheme

CA - Coordination action

Coordinator

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Address

Hansastrasse 27c
80686 Muenchen

Participants (7)

DAIMLER AG

Address

Epplestrasse 225
70567 Stuttgart

JOZEF STEFAN INSTITUTE

Address

Jamova 39
1001 Ljubljana

UNIVERSITA DEGLI STUDI DEL PIEMONTE ORIENTALE AMEDEO AVOGADRO

Address

Via Duomo 6
13100 Vercelli

UNIVERSITA DEGLI STUDI DI BARI

Address

Piazza Umberto I, 1
70121 Bari

UNIVERSITAET DORTMUND

Address

August-schmidt-strasse 4
44227 Dortmund

UNIVERSITE PARIS-SUD

Address

15, Rue Georges Clemenceau
91405 Orsay Cedex

UNIVERSITEIT VAN AMSTERDAM

Address

Spui 21
1012 WX Amsterdam