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e-Laboratory for Interdisciplinary Collaborative Research in Data Mining and Data-Intensive Sciences

Descrizione del progetto


Intelligent Content and Semantics
e-LICO offers a data mining lab to scientists struggling to analyse massive data spawned by high-throughput technologies

The goal of the e-LICO project is to build a virtual laboratory for interdisciplinary collaborative research in data mining and data-intensive sciences. The proposed e-lab comprises three layers: the e-science layer and the data mining layer form a generic knowledge discovery platform that can be adapted to different scientific domains by customizing the application layer. The project's overall research strategy can be summarized as the bottom-up construction of this three-tiered architecture.

The foundation of the e-science layer is a suite of open-source components developed by the University of Manchester (e.g. myGrid e-science platform, Taverna workflow editor); these components will be extended with tools for content creation (e.g. semantic annotation, ontology engineering) as well as mechanisms for multiple levels and modes of collaboration in experimental research.

The data mining layer is the distinctive core of e-LICO; it will provide a comprehensive set of multimedia (structured records, text, images, signals) data mining tools. Standard tools will be complemented with preprocessing or learning algorithms developed specifically to respond to problems of data-intensive, knowledge rich sciences, such as extremely high dimensionality and undersampling, learning from heterogeneous data, incorporating prior knowledge into learning. Methodologically sound use of these tools will be ensured by a knowledge-driven, planner-based data mining assistant, which will rely on a data mining ontology to plan the data mining process and propose ranked workflows for a given application problem. Extensive e-lab monitoring facilities will support comparison and analysis of experiments by a meta-miner, which will combine probabilistic reasoning with kernel-based learning to incrementally improve the assistant's workflow recommendations.

The application layer is always domain-specific. In the generic e-lab, the application layer is an empty shell. It is built by the domain user who will use the tools available in the e-science and DM layers to access available services and resources (e.g. knowledge bases, ontologies) or develop new ones; design, run and analyse data mining workflows; and semantically annotate experimental data as well as mined models in domain-specific terms.

The data mining e-lab will be showcased on a systems biology task: biomarker discovery and pathway modelling for diseases affecting the kidney and urinary pathways (KUP). Domain-specific knowledge sources, such as a specialized ontology and a data base on KUP-related diseases will be collaboratively authored by European specialists in the area. Multi-omic (e.g. genomic, transcriptomic, proteomic, metabolomic) data provided by biologists and clinicians gathered in COST Action BM0702 (EuroKUP) will be mined and the resulting diagnostic/prognostic models made available in a repository of data mining experiments.

The final deliverable of the project will be a free, experimental prototype open to continuous collaborative expansion and refinement by the research community.

Invito a presentare proposte

FP7-ICT-2007-3
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Meccanismo di finanziamento

CP - Collaborative project (generic)
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinatore

UNIVERSITE DE GENEVE
Indirizzo
Rue Du General Dufour 24
1211 Geneve
Svizzera
Tipo di attività
Higher or Secondary Education Establishments
Contributo UE
€ 674 532
Contatto amministrativo
Melanie Hilario (Dr.)

Partecipanti (9)

University of Zurich
Svizzera
Contributo UE
€ 495 773
Indirizzo
Ramistrasse 71
8006 Zurich
Tipo di attività
Higher or Secondary Education Establishments
Contatto amministrativo
Abraham Bernstein (Prof.)
RAPIDMINER GMBH
Germania
Contributo UE
€ 395 252
Indirizzo
Westfalendamm 87
44141 Dortmund
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Contatto amministrativo
Ingo Mierswa (Mr.)
MEDICEL OY

Partecipazione conclusa

Finlandia
Contributo UE
€ 418 620
Indirizzo
Haartmaninkatu 8
00290 Helsinki
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Contatto amministrativo
Christophe Roos (Dr.)
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
Francia
Contributo UE
€ 179 877
Indirizzo
Rue De Tolbiac 101
75654 Paris
Tipo di attività
Research Organisations
Contatto amministrativo
Joost Peter Schanstra (Dr.)
ETHNIKO IDRYMA EREVNON
Grecia
Contributo UE
€ 280 481
Indirizzo
Vas Konstantinou 48
11635 Athina
Tipo di attività
Research Organisations
Contatto amministrativo
Fragiskos Kolisis (Prof.)
RUDER BOSKOVIC INSTITUTE
Croazia
Contributo UE
€ 144 840
Indirizzo
Bijenicka Cesta 54
10000 Zagreb
Tipo di attività
Research Organisations
Contatto amministrativo
Tomislav Smuc (Dr.)
POLITECHNIKA POZNANSKA
Polonia
Contributo UE
€ 126 200
Indirizzo
Pl Marii Sklodowskiej Curie 5
60 965 Poznan
Tipo di attività
Higher or Secondary Education Establishments
Contatto amministrativo
Agnieszka Lawrynowicz (Dr.)
INSTITUT JOZEF STEFAN
Slovenia
Contributo UE
€ 206 363
Indirizzo
Jamova 39
1000 Ljubljana
Tipo di attività
Research Organisations
Contatto amministrativo
Martin Znidarsic (Dr.)
THE UNIVERSITY OF MANCHESTER
United Kingdom
Contributo UE
€ 495 465
Indirizzo
Oxford Road
M13 9PL Manchester
Tipo di attività
Higher or Secondary Education Establishments
Contatto amministrativo
Robert Stevens (Dr.)