COMMUNITY FOLKS

Identification and exploitation of user communities for efficiently handling large-scale folksonomies

 Coordinatore UNIVERSITY COLLEGE LONDON 

 Organization address address: GOWER STREET
city: LONDON
postcode: WC1E 6BT

contact info
Titolo: Ms.
Nome: Greta
Cognome: Borg-Carbott
Email: send email
Telefono: +44 20 3108 3033
Fax: +44 20 7813 2849

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 131˙427 €
 EC contributo 131˙427 €
 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-2009-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-09-15   -   2012-03-14

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON

 Organization address address: GOWER STREET
city: LONDON
postcode: WC1E 6BT

contact info
Titolo: Ms.
Nome: Greta
Cognome: Borg-Carbott
Email: send email
Telefono: +44 20 3108 3033
Fax: +44 20 7813 2849

UK (LONDON) coordinator 131˙427.40

Mappa


 Word cloud

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

techniques    tags    folksonomy    content    ict    taxonomy    folksonomies    named    personalised    classify   

 Obiettivo del progetto (Objective)

'For centuries, classification has been exploited by users to contextualize any aspect of human knowledge. An emerging way to classify objects is given by folksonomies. The term folksonomy is currently used to indicate a data structure that allows users to classify various kinds of resources by means of plain keywords freely chosen by them. Folksonomies are gaining wide popularity but, although they overcome important weak points affecting taxonomy systems, they generally imply a lack of precision. In order to face this drawback, it would be useful to define a system capable of interactively supporting users in the folksonomy surfing. This project is collocated just in this context and aims at building a system for effectively searching and browsing user-generated content that has been freely described using tags. For this purpose, in this project we will define new techniques able to organize tags in a flexible hierarchical manner in order to strengthen the advantages of folksonomies with those offered by taxonomies, but avoiding all the taxonomy drawbacks. Furthermore, the project aims at studying how to discover hidden social ties among folksonomy users. The goals of this project are fully compliant with that of the research theme named 'Information and Communication Technologies' (ICT) which has been recognized by European Commission as one of the main research areas in FP7. In particular, the project falls within the research fields named 'Digital Content Management' and 'Personalised ICT systems' described in FP7 factsheet. In fact, the research areas of this proposal are focused on the study of new techniques able to: (i) identify how folksonomy users generate contents and manage such knowledge in order to help them to search and browse it; (ii) produce personalised folksonomy views by exploiting the content generated by those users who share similar interests.'

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