SEEK

Semantic EnrichmEnt of trajectory Knowledge discovery

 Coordinatore CONSIGLIO NAZIONALE DELLE RICERCHE 

 Organization address address: Piazzale Aldo Moro 7
city: ROMA
postcode: 185

contact info
Titolo: Dr.
Nome: Claudio
Cognome: Montani
Email: send email
Telefono: 390503000000

 Nazionalità Coordinatore Italy [IT]
 Sito del progetto http://www.seek-project.eu
 Totale costo 365˙400 €
 EC contributo 352˙800 €
 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-IRSES
 Funding Scheme MC-IRSES
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-03-01   -   2015-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    CONSIGLIO NAZIONALE DELLE RICERCHE

 Organization address address: Piazzale Aldo Moro 7
city: ROMA
postcode: 185

contact info
Titolo: Dr.
Nome: Claudio
Cognome: Montani
Email: send email
Telefono: 390503000000

IT (ROMA) coordinator 199˙500.00
2    UNIVERSITA CA' FOSCARI VENEZIA

 Organization address address: DORSODURO 3246
city: VENEZIA
postcode: 30123

contact info
Titolo: Ms.
Nome: Stefania
Cognome: Quaderni
Email: send email
Telefono: +39 041 234 8973
Fax: +39 041 234 8584

IT (VENEZIA) participant 88˙200.00
3    UNIVERSITY OF PIRAEUS RESEARCH CENTER

 Organization address address: GR. LAMPRAKI 122
city: PIRAEUS
postcode: 185 32

contact info
Titolo: Prof.
Nome: Yannis
Cognome: Theodoridis
Email: send email
Telefono: +30 2104142449
Fax: +30 2104142264

EL (PIRAEUS) participant 65˙100.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

phones    mobility    mobile    discovery    trajectories    wealth    patterns    semantic    mining    traffic    techniques    data   

 Obiettivo del progetto (Objective)

'A flood of data pertinent to moving objects is available today, and will be more in the near future, particularly due to the automated collection of data from personal devices such as mobile phones and other location-aware devices. Such wealth of data, referenced both in space and time, may enable novel classes of applications of high societal and economic impact, provided that the discovery of consumable and concise knowledge out of these raw data is made possible.

The fundamental hypothesis is that it is possible, in principle, to aid citizens in their mobile activities by analysing the traces of their past activities by means of data mining techniques. For instance, behavioural patterns derived from mobile trajectories may allow inducing traffic flow information, capable to help people travelling efficiently, to help public administrations in traffic-related decision making for sustainable mobility and security management.

Behavioral patterns can be extracted through a knowledge discovery process where positioning data collected from mobile devices are first transformed in semantically enriched trajectory data stored in a database. Then, these data are loaded in a data warehouse and analysed with OLAP operations that allow summarization of the trajectories features. Mobility patterns, the most common movements emerging from data, are computed with suitable spatio-temporal data mining algorithms. A further semantic enrichment step is needed to give context-dependent meaning to the discovered patterns.

The goal of the project is to investigate methods to extract meaningful knowledge from large amount of movement data by defining techniques for an advanced semantic-rich knowledge discovery process.'

Introduzione (Teaser)

The mobility patterns that our mobile phone signals emit can be very useful in a number of applications. This requires new research on exploiting the wealth of data from mobile phones.

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