DocumentCode :
2303016
Title :
A hybrid Semantic driven recommender for services in the eGovernment domain
Author :
Sabucedo, Luis Álvarez ; Barreiros, Roberto Soto ; Gago, Juan M Santos ; Iglesias, Manuel Fernández
fYear :
2012
fDate :
16-18 May 2012
Firstpage :
409
Lastpage :
414
Abstract :
In its way towards the maturity of eGovernment solutions a number of paths are being explored. Among them, one of the not fully explored mechanisms are the use of social features for a better provisioning of domain services. This paper explores how to provide support for the discovery of services from Public Administrations using folksonomies. Taking advantage of these, authors develop a social site and they provide a complete mechanism to recommend new services to users using techniques from CF and CBF recommenders. Also, some conclusions are presented to enlighten future practitioners and researchers.
Keywords :
public administration; recommender systems; semantic Web; CBF recommenders; eGovernment domain services; folksonomies; hybrid semantic driven recommender; public administrations; social features; social site; Context; Law; Mathematical model; OWL; Ontologies; Semantics; Social network services; Semantics; eGovernment; folksonomy; recommender;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Information and Communication Technology and it's Applications (DICTAP), 2012 Second International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4673-0733-8
Type :
conf
DOI :
10.1109/DICTAP.2012.6215392
Filename :
6215392
Link To Document :
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