In this paper we present a methodology to provide visitors, in smart regions, additional cultural heritage attractions based on their prior museum visits using: 1) user models and 2) Linked Open Data. Visitor preferences and behavior are tracked via a museum mobile guide and used to create a visitor model. Semantic 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. The visitor personality characteristics are used to determine number and type of relevant Cultural Objects.
|State||Published - 1 Jan 2015|
|Event||TourS15 workshop - |
Duration: 1 Jan 2015 → …
|Period||1/01/15 → …|