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Automatic Composition of Personalized Appreciation Route Based on Semantic Relationship between Exhibits in Museum

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6279))

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.

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References

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© 2010 Springer-Verlag Berlin Heidelberg

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Maehara, C., Yatsugi, K., Kim, D., Ushiama, T. (2010). Automatic Composition of Personalized Appreciation Route Based on Semantic Relationship between Exhibits in Museum. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15384-6_28

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  • DOI: https://doi.org/10.1007/978-3-642-15384-6_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15383-9

  • Online ISBN: 978-3-642-15384-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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