Cel
The aim of this proposal for a Network of Excellence entitled Semantic Interoperability and Data Mining in Biomedicine is to establish Europe as the international scientific leader in medical and biomedical informatics. The long-term goal of the network will be the development of generic methods and tools supporting the critical tasks of the field; data mining, knowledge discovery, knowledge representation, abstraction and indexing of information, semantic-based information retrieval in a complex and high-dimensional information space, and knowledge-based adaptive systems for provision of decision support for dissemination of evidence based medicine. The proposal is a response to the strategic objectives addressed in the IST call 1, areas 'Semantic-based Knowledge Systems' and 'eHealth'.
The general objective of the network is to bridge gaps in the European research infrastructure and to facilitate cross-fertilisation between scientific disciplines. Traditionally academic departments in the domain have their roots either in computer science, system engineering (including a variety of engineering disciplines) or in a medical or clinical context. The proposed network is composed of partners from these scientific areas, all bringing their experience and in-depths knowledge together into a common framework. An important aspect of this is the merging of medical or clinical informatics and bioinformatics including the new fields of genomics and proteomics. Another bridging activity addressed by the proposal is knowledge-transfer and co-operation between academia and organisations in the health and welfare sector, such as standardisation bodies and public and user-driven health care organisations.
The NoE application is based on the partnership of 25 participants from 11 European countries with 99 identified researchers (25 female) and 31 associated PhD students (10 female).
Dziedzina nauki
Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego.
Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego.
- medical and health scienceshealth scienceshealth care serviceseHealth
- natural sciencesbiological sciencesgenetics
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- natural sciencescomputer and information sciencesdata sciencedata mining
- natural sciencescomputer and information sciencesknowledge engineering
Temat(-y)
Zaproszenie do składania wniosków
Data not availableSystem finansowania
NoE - Network of ExcellenceKoordynator
581 83 LINKOEPING
Szwecja
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Uczestnicy (22)
24118 KIEL
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00185 ROMA
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1088 BUDAPEST
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15124 MAROUSSI, ATHINA
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HEIDELBERG
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07743 JENA
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405 30 GOETEBORG
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75654 PARIS CEDEX 13
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171 77 SOLNA STOCKHOLM
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7489 TRONDHEIM
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CW9 5HB NORTHWICH (CHESHIRE)
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106 30 STOCKHOLM
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00530 HELSINKI
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2300 KOEBENHAVN S
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MK7 6BT MILTON KEYNES
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MANCHESTER
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66123 SAARBRUECKEN
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79106 FREIBURG
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1211 GENEVE 4
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WC1E 6BT LONDON
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75105 UPPSALA
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462 80 VAENERSBORG
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