In this paper we present a methodology to provide visitors, in smart regions, additional cultural heritage attractions based on prior museum visits us- ing user models and Linked Open Data. Visitor preferences and behavior are tracked via a museum mobile guide and used to create a visitor model. Seman- tic models and Linked Open Data support the representation of regional assets as Cultural Objects. The visitor model preferences are exploited using a graph similarity approach in order to identify personalized opportunities for visitors by filtering relevant Cultural Objects.
Providing Personalized Cultural Heritage Information for the Smart Region - A Proposed methodology.
Antonino Lo Bue;
2015
Abstract
In this paper we present a methodology to provide visitors, in smart regions, additional cultural heritage attractions based on prior museum visits us- ing user models and Linked Open Data. Visitor preferences and behavior are tracked via a museum mobile guide and used to create a visitor model. Seman- tic models and Linked Open Data support the representation of regional assets as Cultural Objects. The visitor model preferences are exploited using a graph similarity approach in order to identify personalized opportunities for visitors by filtering relevant Cultural Objects.File in questo prodotto:
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