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SMARTMUSEUM

Acronym of the case:

Smartmuseum

Web address of the case:

Country of the case:

Bulgaria , Estonia , Finland , France , Italy , Malta , Sweden

City/region:

Europe

digital content | personalisation | cultural heritage access


Posting Date: 8 February 2010
Last Edited Date: 09 February 2010

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Author:

Alar Kuusik (ELIKO Competence Centre)Estonia
Type of initiative
  • Project or service
Case Abstract

The objective of the SMARTMUSEUM project is the development of an IT mobile platform for users enabling personalised access to existing digital content. The platform understands the users’ preferences and identifies and recommends points of interests in outdoor environments and most relevant artefacts during museum visits. The content is therefore customised on the users’ specific needs and it is accessible through a personal smartphone. At the same time, SMARTMUSEUM allows a simple reuse of existing digital content with detailed users’ feedback information.

Description of the case
January 2008 to February 2010
Date operational
October 2009
Target Users
Citizen
Target Users Description

Smartmuseum targets all kinds of museum visitors and in general tourists in outdoor cultural heritage areas; the default interface is in English.

Scope
International
Status
Pilot
Language(s)
English
Policy Context and Legal Framework

Project Size and Implementation
Type of initiative
IT infrastructures and products
Overall Implementation approach
Partnerships between administration and/or private sector and/or non-profit sector
Technology choice
Mainly (or only) open standards
Funding source
Public funding EU
Project size
Implementation: €1,000,000-5,000,000
Yearly cost:
€500-999,000
Technology solution

The developed personalized recommendation system for cultural heritage content is based on widely accepted Dublin Core metadata representation and Getty anthologies.

Impact, innovation and results
Impact

A pilot cultural heritage recommendation system for tourists was set up in two museums in Florence and Valletta, giving personalised recommendations for museum visitors and to tourist in external environments. The system supports RFID and GPS based positioning, text-to-speech synthesis and user preference learning; the system has obtained a very positive feedback from the users concerning its functionality and usability.

Lessons learnt

  • It is necessary to reply on selected partners, as is hard to invite remote partners to do things outside their traditional topics, even if they initially agreed.
  • Early integration and deployment of the simplified system proved to be essential to end up with stable working demonstrator. 
  • Technological infrastructure has to be customisable even for prototypes; otherwise it would not meet the users’ needs.

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