Automatic composition of personalized appreciation route based on semantic relationship between exhibits in museum

Chihiro Maehara, Kotaro Yatsugi, Daewoong Kim, Taketoshi Ushiama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, many studies have been reported on ranking and recommendation of a variety of digital contents on the Internet. On the other hand, exhibitions in museums can be considered as actual contents in the real world, so we think that some techniques of ranking and recommendation can be applicable to appreciate exhibitions in a museum effectively and efficiently for a visitor based on his/her interests. Today, information devices as exhibition guide systems to support visitor's appreciation are introduced in many museums. In this paper, we propose an approach for composing personalized appreciation route matched to user's interest and situation, using the information device. Our system supports a user to appreciate an exhibition well, and arouses user's interest by composing a route based on semantic relationship between exhibits.

Original languageEnglish
Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings
Pages261-270
Number of pages10
EditionPART 4
DOIs
Publication statusPublished - Nov 29 2010
Event14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 - Cardiff, United Kingdom
Duration: Sep 8 2010Sep 10 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume6279 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
CountryUnited Kingdom
CityCardiff
Period9/8/109/10/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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