Dicode

Mastering Data-Intensive Collaboration and Decision Making

 Coordinatore COMPUTER TECHNOLOGY INSTITUTE & PRESS DIOPHANTUS 

 Organization address address: N. Kazantzaki Patras University Campus
city: RIO PATRAS
postcode: 26500

contact info
Titolo: Ms.
Nome: ELENI
Cognome: ANISIOU
Email: send email
Telefono: +30 2610 960478
Fax: +30 2610 960490

 Nazionalità Coordinatore Greece [EL]
 Totale costo 3˙510˙004 €
 EC contributo 2˙599˙991 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2009-5
 Funding Scheme CP
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-09-01   -   2013-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    COMPUTER TECHNOLOGY INSTITUTE & PRESS DIOPHANTUS

 Organization address address: N. Kazantzaki Patras University Campus
city: RIO PATRAS
postcode: 26500

contact info
Titolo: Ms.
Nome: ELENI
Cognome: ANISIOU
Email: send email
Telefono: +30 2610 960478
Fax: +30 2610 960490

EL (RIO PATRAS) coordinator 0.00
2    BIOMEDICAL RESEARCH FOUNDATION, ACADEMY OF ATHENS

 Organization address address: Soranou Efesiou
city: ATHENS
postcode: 11527

contact info
Titolo: Dr.
Nome: Sophia
Cognome: Kossida
Email: send email
Telefono: -6597379
Fax: +30 210 65 97 599

EL (ATHENS) participant 0.00
3    FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V

 Organization address address: Hansastrasse
city: MUENCHEN
postcode: 80686

contact info
Titolo: Ms.
Nome: Diana
Cognome: Polewka
Email: send email
Telefono: +49 2241 14 1575
Fax: +49 2241 14 4 1575

DE (MUENCHEN) participant 0.00
4    IMAGE ANALYSIS LIMITED

 Organization address address: WHITEHALL WATERFRONT, 2 RIVERSIDE WAY
city: LEEDS
postcode: LS1 4EE

contact info
Titolo: Dr.
Nome: Duncan John
Cognome: Russell
Email: send email
Telefono: +44 1274 535220
Fax: +44 1274 595973

UK (LEEDS) participant 0.00
5    NEOFONIE GMBH

 Organization address address: ROBERT-KOCH-PLATZ
city: BERLIN
postcode: 10115

contact info
Titolo: Mr.
Nome: Holger
Cognome: Düwiger
Email: send email
Telefono: +49 30 24627331
Fax: +49 30 24627120

DE (BERLIN) participant 0.00
6    PWW GmbH

 Organization address address: CHAUSSEESTRASSE
city: BERLIN
postcode: 10115

contact info
Titolo: Mr.
Nome: Ralf
Cognome: Löffler
Email: send email
Telefono: +49 69 15402 8712
Fax: +49 69 15402 6 8728

DE (BERLIN) participant 0.00
7    UNIVERSIDAD POLITECNICA DE MADRID

 Organization address address: Calle Ramiro de Maeztu
city: MADRID
postcode: 28040

contact info
Titolo: Prof.
Nome: Gonzalo
Cognome: León
Email: send email
Telefono: 34913366048
Fax: 34913365974

ES (MADRID) participant 0.00
8    UNIVERSITY OF LEEDS

 Organization address address: Woodhouse Lane
city: LEEDS
postcode: LS2 9JT

contact info
Titolo: Ms.
Nome: Kathy
Cognome: Brownridge
Email: send email
Telefono: +44 113 3436050
Fax: +44 113 3434058

UK (LEEDS) participant 0.00

Mappa


 Word cloud

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sources    solution    decision    opinion    foreseen    mining    data    services    computing    dicode    diverse    settings   

 Obiettivo del progetto (Objective)

The goal of the Dicode project is to facilitate and augment collaboration and decision making in data-intensive and cognitively-complex settings. To do so, it will exploit and build on the most prominent high-performance computing paradigms and large data processing technologies - such as cloud computing, MapReduce, Hadoop, Mahout, and column databases – to meaningfully search, analyze and aggregate data existing in diverse, extremely large, and rapidly evolving sources.Building on current advancements, the solution foreseen in the Dicode project will bring together the reasoning capabilities of both the machine and the humans. It can be viewed as an innovative workbench incorporating and orchestrating a set of interoperable services that reduce the data-intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and concentrate on creative activities. Services to be developed are: (i) scalable data mining services (including services for text mining and opinion mining), (ii) collaboration support services, and (iii) decision making support services.The achievement of the Dicode project's goal will be validated through three use cases addressing clearly established problems. These cases were chosen to test the transferability of Dicode solution in different collaboration and decision making settings, associated with diverse types of data and data sources, thus covering the full range of the foreseen solution's features and functionalities. They concern: (i) scientific collaboration supported by integrated large-scale knowledge discovery in clinico-genomic research, (ii) delivering pertinent information from heterogeneous data to communities of doctors and patients in medical treatment decision making, and (iii) capturing tractable, commercially valuable high-level information from unstructured Web 2.0 data for opinion mining.

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