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Sake Selection Support Application for Countryside Tourism

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Book cover Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII

Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 9860))

Abstract

For the upcoming Tokyo Olympic Paralympic Games in 2020, the number of foreign tourists coming to Japan is expected to rise. However, there has been a problem with tourists becoming less likely to visit places outside of the urban areas. In order to solve this issue, a commitment has been made by the government to use “Sake Brewery Tour” to draw tourists to less populated areas. The purpose of this study is to find a way to encourage foreign interest to sake and sake brewers, and participant in “Sake Brewery Tours”. We developed an application for the foreign tourists who are not much interested in sake. The approach of the study involved the presentation of sake selection in connection with wines, which have surprising similarities to the sakes, and encourage the tourists access sake brewer sites. 20 test users used the application, and the average screen residence time was 55 (sec) including the sake brewer sites, which was longer than the application for comparison, which shows the sake information alone. Therefore, we confirmed that the users come to have an interest in sake and sake brewers by showing the surprising connections with wine.

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Notes

  1. 1.

    https://github.com/tesseract-ocr.

  2. 2.

    http://rdf4j.org.

  3. 3.

    http://www.w3.org/DesignIssues/LinkedData.html.

  4. 4.

    http://www.rakuten.co.jp.

  5. 5.

    http://mecab.googlecode.com/svn/trunk/mecab/doc/index.html.

  6. 6.

    http://wiki.dbpedia.org.

  7. 7.

    http://www.ohsuga.is.uec.ac.jp/sake/property/wiki.

  8. 8.

    http://www.clair.or.jp/j/exchange/shimai/data150831.xlsx.

  9. 9.

    http://cheese-factory.info.

  10. 10.

    https://developers.google.com/analytics/devguides/collection/android/v4/.

  11. 11.

    http://www.sakenomy.jp.

  12. 12.

    http://sakecompetition.com.

References

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Acknowledgments

This work was supported by JSPS KAKENHI Grant Numbers 24300005, 26330081, 26870201.

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Authors and Affiliations

  1. Graduate School of Information Systems, University of Electro-Communications, Tokyo, Japan

    Teruyuki Iijima, Takahiro Kawamura, Yuichi Sei, Yasuyuki Tahara & Akihiko Ohsuga

Authors
  1. Teruyuki Iijima
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  2. Takahiro Kawamura
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  3. Yuichi Sei
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  4. Yasuyuki Tahara
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  5. Akihiko Ohsuga
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Corresponding author

Correspondence to Teruyuki Iijima .

Editor information

Editors and Affiliations

  1. IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  2. FAW, University of Linz, Linz, Austria

    Josef Küng

  3. FAW, University of Linz, Linz, Austria

    Roland Wagner

  4. MIT SENSEable City Lab, Cambridge, Massachusetts, USA

    Amin Anjomshoaa

  5. Faculty of Business and Information Technology, University of Ontario Institute of Technology (UOIT), Oshawa, Ontario, Canada

    Patrick C. K. Hung

  6. Trinity University, Plainview, Texas, USA

    Dominik Kalisch

  7. New York University, Brooklyn, New York, USA

    Stanislav Sobolevsky

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Iijima, T., Kawamura, T., Sei, Y., Tahara, Y., Ohsuga, A. (2016). Sake Selection Support Application for Countryside Tourism. In: Hameurlain, A., et al. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII. Lecture Notes in Computer Science(), vol 9860. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53416-8_2

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  • DOI: https://doi.org/10.1007/978-3-662-53416-8_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-53415-1

  • Online ISBN: 978-3-662-53416-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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