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Published in:
2020 | OriginalPaper | Chapter
Artwork Information Embedding Framework for Multi-source Ukiyo-e Record Retrieval
Authors : Kangying Li, Biligsaikhan Batjargal, Akira Maeda, Ryo Akama
Published in: Digital Libraries at Times of Massive Societal Transition
Publisher: Springer International Publishing
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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.