In this paper we present a methodology to provide visitors, in smart regions, additional cultural heritage attractions based on prior museum visits using user models and 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.
|Journal||CEUR Workshop Proceedings|
|State||Published - 2015|
|Event||23rd Conference on User Modeling, Adaptation, and Personalization, UMAP 2015 - Dublin, Ireland|
Duration: 29 Jun 2015 → 3 Jul 2015
Bibliographical notePublisher Copyright:
© 2015 CEUR-WS. All rights reserved.
- Linked open data
- Smart regions
- User models
ASJC Scopus subject areas
- Computer Science (all)