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

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

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

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

Department of Information Systems

Research output: Contribution to journal › Conference article › peer-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 language	English
Journal	CEUR Workshop Proceedings
Volume	1388
State	Published - 2015
Event	23rd Conference on User Modeling, Adaptation, and Personalization, UMAP 2015 - Dublin, Ireland Duration: 29 Jun 2015 → 3 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

General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "Providing personalized cultural heritage information for the smart region - A proposed methodology",

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.",

keywords = "Linked open data, Personalization, Smart regions, User models",

author = "Bue, {Antonino Lo} and Wecker, {Alan J.} and Tsvi Kuflik and Alberto Mach{\`i} and Oliviero Stock",

note = "Publisher Copyright: {\textcopyright} 2015 CEUR-WS. All rights reserved.; 23rd Conference on User Modeling, Adaptation, and Personalization, UMAP 2015 ; Conference date: 29-06-2015 Through 03-07-2015",

year = "2015",

language = "English",

volume = "1388",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

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T1 - Providing personalized cultural heritage information for the smart region - A proposed methodology

AU - Bue, Antonino Lo

AU - Wecker, Alan J.

AU - Kuflik, Tsvi

AU - Machì, Alberto

AU - Stock, Oliviero

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Linked open data

KW - Personalization

KW - Smart regions

KW - User models

UR - http://www.scopus.com/inward/record.url?scp=85071305086&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85071305086

SN - 1613-0073

VL - 1388

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 23rd Conference on User Modeling, Adaptation, and Personalization, UMAP 2015

Y2 - 29 June 2015 through 3 July 2015

ER -

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this