Cultural Heritage represents in Italy a resource of inestimable value. This value gains more and more importance when embedded into the digital ecosystem of a Smart City, where several aspects must be considered: logistics, economy, tourism, entertainment and so on. This work presents a project, developed within DATABENC (a High Technology District for Cultural Heritage Management recently funded by Regione Campania) that aims at designing and developing a system based on a Service Oriented Architecture providing a set of context-aware applications for assisting users (e.g. Tourists, citizens, etc.) in the exploration and management of Single Smart Spaces (e.g. Indoor museum, archaeological site, historical archive, etc.). In particular, we propose several techniques for designing context aware applications by tailoring useful data and services in a given environment. In particular, a Slow Intelligence System approach is adopted for the tailoring of the services and contents. A case study for a real single smart space and some preliminary experimental results are presented and discussed.
A context-aware framework for cultural heritage applications
COLACE, Francesco;DE SANTO, Massimo;GRECO, LUCA;LEMMA, SAVERIO ROMANO;LOMBARDI, MARCO;
2014-01-01
Abstract
Cultural Heritage represents in Italy a resource of inestimable value. This value gains more and more importance when embedded into the digital ecosystem of a Smart City, where several aspects must be considered: logistics, economy, tourism, entertainment and so on. This work presents a project, developed within DATABENC (a High Technology District for Cultural Heritage Management recently funded by Regione Campania) that aims at designing and developing a system based on a Service Oriented Architecture providing a set of context-aware applications for assisting users (e.g. Tourists, citizens, etc.) in the exploration and management of Single Smart Spaces (e.g. Indoor museum, archaeological site, historical archive, etc.). In particular, we propose several techniques for designing context aware applications by tailoring useful data and services in a given environment. In particular, a Slow Intelligence System approach is adopted for the tailoring of the services and contents. A case study for a real single smart space and some preliminary experimental results are presented and discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
