K-DRIVE

Knowledge Driven Data Exploitation

Coordinatore	THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN    more  Organization address address: KING'S COLLEGE REGENT WALK city: ABERDEEN postcode: AB24 3FX contact info Titolo: Ms. Nome: Kerry Cognome: Kidd Email: send email Telefono: +44 1224 27 3739 Fax: +44 1224 272319
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	1˙696˙064 €
EC contributo	1˙696˙064 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2011-IAPP
Funding Scheme	MC-IAPP
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-01-01   -   2015-12-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN  Organization address address: KING'S COLLEGE REGENT WALK city: ABERDEEN postcode: AB24 3FX contact info Titolo: Ms. Nome: Kerry Cognome: Kidd Email: send email Telefono: +44 1224 27 3739 Fax: +44 1224 272319	UK (ABERDEEN)	coordinator	798˙032.00
2	IBM ITALIA SPA*  Organization address address: Circonvallazione Idroscalo SNC city: Segrate (MI) postcode: 20090 contact info Titolo: Dr. Nome: Marco Cognome: Monti Email: send email Telefono: +39 02 5962 0195	IT (Segrate (MI))	participant	464˙266.00
3	INTELLIGENT SOFTWARE COMPONENTS S.A.  Organization address address: AVENIDA TORRE BLANCA 57 3C15 city: SANT CUGAT DEL VALLES postcode: 8172 contact info Titolo: Dr. Nome: Jose Manuel Cognome: Gómez Pérez Email: send email Telefono: +34 913349797 Fax: +34 913349799	ES (SANT CUGAT DEL VALLES)	participant	433˙766.00

Mappa

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 Obiettivo del progetto (Objective)

'The development of innovative technology for the discovery new insights (such as trends) of digital data and real time guidance of using digital data is one of the priorities in the areas of semantic technologies. The first objective of this project is the identification of novel query generation techniques to facilitate experts to identify key dimensions within semantic data and to recommend users with queries related to their interests, with an emphasis on the development of innovative techniques for efficient and scalable query generation and query answering.

We first evaluate the query generation approaches with two use cases on electronic tender data and healthcare data. The most promising and effective approaches will be further investigated with the view of dealing with update of the data and relevant knowledge. For example, the EU Tenders Electronic Daily (TED, http://ted.europa.eu) data is updated daily; bio-medical data regarding patients is constantly generated. The main goals of the projects are (1) the development of efficient and scalable query generation techniques with potential for dealing with streaming data and knowledge, (2) detailed studies of their use for exploiting both public data (such as TED data) and private data (such as that in the healthcare domain), with the future perspective of using these novel knowledge driven data analysis tools as diagnostic and guidance tools for domain experts and end users.'