A Study on Data Mining for Type of Korean Painting Poetry

Haeyoung Park; Younghoon An; Hwayoung Jeong

doi:10.1007/978-981-99-2092-1_1

A Study on Data Mining for Type of Korean Painting Poetry

Haeyoung Park, Younghoon An, Hwayoung Jeong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This study introduced the work of analyzing the meaning by using the computer information processing method. We extracted the painting poetry of Mukjukdo (Bamboo Paintings) in the early Joseon Dynasty from the Hanguk Munjip Chonggan (Korean Literary Collections in Classical Chinese) of Hanguk Gojeon Jonghap DB (Korea Classics DB). Through the data mining method, we divided the types by extracting and cataloging the painting poetry from the Korean classical literature. Then, the scope was narrowed down to painting poetry of Mukjukdo in the early Joseon Dynasty, and the text was analyzed in units of syllable corpus.

Original language	English
Title of host publication	Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence - Proceedings of IC 2023
Editors	Jason C. Hung, Jia-Wei Chang, Yan Pei
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	3-9
Number of pages	7
ISBN (Print)	9789819920914
DOIs	https://doi.org/10.1007/978-981-99-2092-1_1
Publication status	Published - 2023
Event	6th International Conference on Innovative Computing, IC 2023 - Hawaii, United States Duration: 9 Jan 2023 → 12 Jan 2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1044 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	6th International Conference on Innovative Computing, IC 2023
Country/Territory	United States
City	Hawaii
Period	9/01/23 → 12/01/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Bamboo paintings
Cataloguing
Data mining
Extracting
Painting poetry
Type Classification

Access to Document

10.1007/978-981-99-2092-1_1

Cite this

Park, H., An, Y., & Jeong, H. (2023). A Study on Data Mining for Type of Korean Painting Poetry. In J. C. Hung, J.-W. Chang, & Y. Pei (Eds.), Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence - Proceedings of IC 2023 (pp. 3-9). (Lecture Notes in Electrical Engineering; Vol. 1044 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-2092-1_1

Park, Haeyoung ; An, Younghoon ; Jeong, Hwayoung. / A Study on Data Mining for Type of Korean Painting Poetry. Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence - Proceedings of IC 2023. editor / Jason C. Hung ; Jia-Wei Chang ; Yan Pei. Springer Science and Business Media Deutschland GmbH, 2023. pp. 3-9 (Lecture Notes in Electrical Engineering).

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title = "A Study on Data Mining for Type of Korean Painting Poetry",

abstract = "This study introduced the work of analyzing the meaning by using the computer information processing method. We extracted the painting poetry of Mukjukdo (Bamboo Paintings) in the early Joseon Dynasty from the Hanguk Munjip Chonggan (Korean Literary Collections in Classical Chinese) of Hanguk Gojeon Jonghap DB (Korea Classics DB). Through the data mining method, we divided the types by extracting and cataloging the painting poetry from the Korean classical literature. Then, the scope was narrowed down to painting poetry of Mukjukdo in the early Joseon Dynasty, and the text was analyzed in units of syllable corpus.",

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author = "Haeyoung Park and Younghoon An and Hwayoung Jeong",

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Park, H, An, Y & Jeong, H 2023, A Study on Data Mining for Type of Korean Painting Poetry. in JC Hung, J-W Chang & Y Pei (eds), Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence - Proceedings of IC 2023. Lecture Notes in Electrical Engineering, vol. 1044 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 3-9, 6th International Conference on Innovative Computing, IC 2023, Hawaii, United States, 9/01/23. https://doi.org/10.1007/978-981-99-2092-1_1

A Study on Data Mining for Type of Korean Painting Poetry. / Park, Haeyoung; An, Younghoon; Jeong, Hwayoung.
Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence - Proceedings of IC 2023. ed. / Jason C. Hung; Jia-Wei Chang; Yan Pei. Springer Science and Business Media Deutschland GmbH, 2023. p. 3-9 (Lecture Notes in Electrical Engineering; Vol. 1044 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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A Study on Data Mining for Type of Korean Painting Poetry

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Bibliographical note

Keywords

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