JMUGCS

Jointly Mining User Generated Content Sources

Coordinatore	UNIVERSITY OF IOANNINA    more  Organization address address: "LEOFOROS STAVROS S NIARCHOS, PANEPISTIMIOUPOLI IOANNINON" city: IOANNINA postcode: 45110 contact info Titolo: Prof. Nome: Evaggelia Cognome: Pitoura Email: send email Telefono: 302651000000
Nazionalità Coordinatore	Greece [EL]
Totale costo	100˙000 €
EC contributo	100˙000 €
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-2012-CIG
Funding Scheme	MC-CIG
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-10-01   -   2016-09-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITY OF IOANNINA  Organization address address: "LEOFOROS STAVROS S NIARCHOS, PANEPISTIMIOUPOLI IOANNINON" city: IOANNINA postcode: 45110 contact info Titolo: Prof. Nome: Evaggelia Cognome: Pitoura Email: send email Telefono: 302651000000	EL (IOANNINA)	coordinator	100˙000.00

Mappa

 Word cloud

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 Obiettivo del progetto (Objective)

'The advent of web 2.0 empowered users to actively interact with the Web instead of passively consuming web content. Today, Web users contribute content to blogs, wiki sites, review portals, and organize themselves into online social networks where they form relationships post their thoughts and activities, and interact with each other. Individuals can now have a “presence” on the web that goes well beyond creating a home page and some documents. This kind of data is a goldmine for scientific research with an unlimited number of practical applications. In this proposed research we are interested in jointly mining user-generated content with other sources of data, in order to enhance our understanding of data, and improve the knowledge extraction process. We consider two settings: jointly mining two different sources of user-generated content, and jointly mining user-generated content with structured data. We propose problems within these two settings, focusing on ranking, and translation of user-generated attributes.'