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International Conference on Asian Digital Libraries

ICADL 2020: Digital Libraries at Times of Massive Societal Transition pp 255–261Cite as

Artwork Information Embedding Framework for Multi-source Ukiyo-e Record Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12504))

Abstract

Ukiyo-e culture has endured throughout Japanese art history to this day. With its high artistic value, ukiyo-e remains an important part of art history. Possibly more than one million ukiyo-e prints have been collected by institutions and individuals worldwide. Many public ukiyo-e databases of various scales have been created in different languages. The sharing of ukiyo-e culture could advance to a new stage if the information from all the databases could be shared without differences in information. However, understanding different languages in different databases, redundant data, missing data, uncertain data, and inconsistent data are all barriers to knowledge discovery in each database. Therefore, this paper uses Ukiyo-e Portal Database [1] prints that were released from the Art Research Center (ARC) of Ritsumeikan University as examples, explains the challenges that are currently solvable, and proposes a multi-source artwork information embedding framework for multimodal and multilingual retrieval.

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Notes

  1. 1.

    Google, The Ukiyo-e Artists You Need To Know, https://artsandculture.google.com/story/the-ukiyo-e-artists-you-need-to-know/BQKC6o0k2oBRLA.

  2. 2.

    Github: https://github.com/timcanby/Japanese_word2vec_pretrain_model.

  3. 3.

    Github: https://github.com/timcanby/simple_demoForMAWukiyoeSys.

References

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  2. ARC Japanese Woodblocks Prints. https://www.dh-jac.net/db/nishikie/search.php?enter=default&lang=en. Accessed 25 June 2020

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Author information

Authors and Affiliations

  1. Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan

    Kangying Li

  2. Kinugasa Research Organization, Ritsumeikan University, Kyoto, Japan

    Biligsaikhan Batjargal

  3. College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan

    Akira Maeda

  4. College of Letters, Ritsumeikan University, Kyoto, Japan

    Ryo Akama

Authors
  1. Kangying Li
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  2. Biligsaikhan Batjargal
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  3. Akira Maeda
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  4. Ryo Akama
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Corresponding author

Correspondence to Kangying Li .

Editor information

Editors and Affiliations

  1. Kyushu University, Fukuoka, Japan

    Emi Ishita

  2. National University of Singapore, Singapore, Singapore

    Natalie Lee San Pang

  3. Wuhan University, Wuhan, China

    Lihong Zhou

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Cite this paper

Li, K., Batjargal, B., Maeda, A., Akama, R. (2020). Artwork Information Embedding Framework for Multi-source Ukiyo-e Record Retrieval. In: Ishita, E., Pang, N.L.S., Zhou, L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science(), vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_23

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  • DOI: https://doi.org/10.1007/978-3-030-64452-9_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64451-2

  • Online ISBN: 978-3-030-64452-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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