DocumentCode :
625882
Title :
Using Geo-business Intelligence and Social Integration for Smart Tourism Cultural Heritage Platforms
Author :
Angelaccio, Michele ; Basili, Alessandra ; Buttarazzi, Berta
Author_Institution :
Dept. of Enterprise Eng., Univ. of Rome Tor Vergata, Rome, Italy
fYear :
2013
fDate :
17-20 June 2013
Firstpage :
196
Lastpage :
199
Abstract :
The Geo-Business Intelligence or Localization Intelligence is a collection of technologies that combines Geographic Information Systems (GIS) and Business Intelligence (BI). Thanks to the application of these technologies to the field of Cultural Heritage it is possible developing Smart Tourism applications to engage travelers with their social networks. In this paper we describe a model architecture for Smart Tourism Systems (STS) tailored for Cultural Heritage and territorial data. The proposed architecture prompts a rethinking of the key paradigms: interactive travel, tourist gaze, hospitality, authenticity and social networking data. This approach can contribute significantly to improve tourism web platforms yielding new business opportunities.
Keywords :
Internet; competitive intelligence; geographic information systems; history; social networking (online); travel industry; BI; GIS; STS; geo-business intelligence; geographic information systems; interactive travel; localization intelligence; model architecture; smart tourism cultural heritage platforms; smart tourism systems; social integration; social networking data; territorial data; tourism Web platforms; tourist gaze; Artificial intelligence; Bismuth; Business; Communities; Cultural differences; Geographic information systems; Social network services; Business Intelligence (BI); Cultural Heritage; Smart Data Location (SDL); Smart Tourism; component; Globalization; social network.;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2013 IEEE 22nd International Workshop on
Conference_Location :
Hammamet
ISSN :
1524-4547
Print_ISBN :
978-1-4799-0405-1
Type :
conf
DOI :
10.1109/WETICE.2013.87
Filename :
6570611
Link To Document :
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