Forschungs- & Entwicklungsinformationsdienst der Gemeinschaft - CORDIS

FP7 e-LICO logo

e-LICO

Project reference: 231519
Funded under

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

From 2009-02-01 to 2012-01-31

Project details

Total cost:

EUR 4 468 853

EU contribution:

EUR 3 417 403

Coordinated in:

Switzerland

Call for proposal:

FP7-ICT-2007-3See other projects for this call

Funding scheme:

CP - Collaborative project (generic)

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.

Objective

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 will comprise three layers: the e-science and data mining layers will form a generic research environment that can be adapted to different scientific domains by customizing the application layer. The e-science layer, built on an open-source e-science infrastructure developed by one of the partners, will support content creation through collaboration at multiple scales and degrees of commitment---ranging from small, contract-bound teams to voluntary, constraint-free participation in dynamic virtual communities. The data mining layer will be the distinctive core of e-LICO; it will provide comprehensive multimedia (structured records, text, images, signals) data mining tools. Standard tools will be augmented with preprocessing or learning algorithms developed specifically to meet challenges of data-intensive, knowledge rich sciences, such as ultra-high dimensionality or undersampled data. Methodologically sound use of these tools will be ensured by a knowledge-driven data mining assistant, which will rely on a data mining ontology and knowledge base to plan the mining process and propose ranked workflows for a given application problem. Extensive e-lab monitoring facilities will automate the accumulation of experimental meta-data to support replication and comparison of data mining experiments. These meta-data will be used by a meta-miner, which will combine probabilistic reasoning with kernel-based learning from complex structures to incrementally improve the assistant's workflow recommendations. e-LICO will be showcased in a systems biology task: biomarker discovery and molecular pathway modelling for diseases affecting the kidney and urinary pathways.

Related information

Coordinator

UNIVERSITE DE GENEVE
Switzerland

EU contribution: EUR 674 532


Route de Drize 7
CH-1227 Carouge
Switzerland
Administrative contact: Melanie Hilario
Tel.: +41-22-3790222
Fax: +41-22-3790250
E-mail

Participants

UNIVERSITAET ZUERICH
Switzerland

EU contribution: EUR 495 773


Raemistrasse
8006 ZURICH
Switzerland
Administrative contact: Abraham Bernstein
Tel.: +41 44 715 0305
Fax: +41 44 635 68 09
E-mail
RAPID-I GMBH
Germany

EU contribution: EUR 395 252


in der Oeverscheidt 18
44149 DORTMUND
Germany
Administrative contact: Ingo Mierswa
Tel.: +49 231 425 786 90
Fax: +49-231-425-786-99
E-mail
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)
France

EU contribution: EUR 179 877


101 Rue de Tolbiac
75654 PARIS
France
Administrative contact: Joost Peter Schanstra
Tel.: +33 5 61 32 37 48
Fax: +33 5 62 17 25 54
E-mail
ETHNIKO IDRYMA EREVNON
Greece

EU contribution: EUR 280 481


Vassileos Constantinou Avenue
11635 ATHENS
Greece
Administrative contact: Fragiskos Kolisis
Tel.: +302107273759
Fax: +302107273758
E-mail
RUDER BOSKOVIC INSTITUTE
Croatia

EU contribution: EUR 144 840


Bijenicka cesta
10000 ZAGREB
Croatia
Administrative contact: Tomislav Smuc
Tel.: +38514561085
Fax: +38514680114
E-mail
POZNAN UNIVERSITY OF TECHNOLOGY
Poland

EU contribution: EUR 126 200


Pl. Marii Sklodowskiej-Curie
60965 POZNAN
Poland
Administrative contact: Agnieszka Lawrynowicz
Tel.: +48 61 6652942
Fax: +48 61 8771525
E-mail
JOZEF STEFAN INSTITUTE
Slovenia

EU contribution: EUR 206 363


Jamova
1000 LJUBLJANA
Slovenia
Administrative contact: Martin Znidarsic
Tel.: +386 1 477 3366
Fax: +386 1 4773 315
E-mail
THE UNIVERSITY OF MANCHESTER
United Kingdom

EU contribution: EUR 495 465


OXFORD ROAD
M13 9PL MANCHESTER
United Kingdom
Administrative contact: Robert Stevens
Tel.: +44 161 275 6251
Fax: 44 161 275 2445
E-mail
Record Number: 89246 / Last updated on: 2016-04-01