Providing personalized cultural heritage information for the smart region - A proposed methodology

Antonino Lo Bue, Alan J. Wecker, Tsvi Kuflik, Alberto Machì, Oliviero Stock

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1388
StatePublished - 2015
Externally publishedYes
Event23rd Conference on User Modeling, Adaptation, and Personalization, UMAP 2015 - Dublin, Ireland
Duration: 29 Jun 20153 Jul 2015

Bibliographical note

Publisher Copyright:
© 2015 CEUR-WS. All rights reserved.

Keywords

  • Linked open data
  • Personalization
  • Smart regions
  • User models

ASJC Scopus subject areas

  • Computer Science (all)

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