Exploring research trends and hotspots in AI and art integration: ROST text mining analysis of China and South Korea.
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| Title: | Exploring research trends and hotspots in AI and art integration: ROST text mining analysis of China and South Korea. |
|---|---|
| Authors: | Yuan, Hailong1 (AUTHOR), Kim, Yanggi2 (AUTHOR) yanggikim@163.com, Zhang, Jiaxu3 (AUTHOR), Li, Lanli2 (AUTHOR) |
| Source: | Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.). Sep2025, Vol. 25 Issue 5, p3961-3972. 12p. |
| Subjects: | Content mining, Digital transformation, Artistic creation, Copyright, Paper arts |
| Geographic Terms: | South Korea, China |
| Abstract: | As AI technology continues to advance, the integration of AI and arts has become increasingly significant for countries aiming to become cultural powerhouses and develop robust digital strategies. Modern AI enhances artistic creation, personalized experiences, and accessibility. Therefore, it is necessary to study how AI and arts are currently being integrated. Utilizing text mining techniques, we analyze research papers on AI and art integration in China and Korea using ROST CM 6.0, identifying key trends and differences. Our findings reveal that China focuses on the digital inheritance and transformation of traditional culture in the context of modern AI technology, striving to establish cultural power. In contrast, Korea emphasizes legal rights and standardization in the integration of AI and art, with a strong focus on copyright protection. Future research should prioritize interdisciplinary approaches, examine AI art applications from a macroscopic perspective, and develop strategies for AI to inherit traditional art based on successful global examples. Additionally, ongoing discussions and research on copyright issues arising from AI art integration are essential. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 186643421 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exploring research trends and hotspots in AI and art integration: ROST text mining analysis of China and South Korea. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yuan%2C+Hailong%22">Yuan, Hailong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Yanggi%22">Kim, Yanggi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> yanggikim@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jiaxu%22">Zhang, Jiaxu</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Lanli%22">Li, Lanli</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+Methods+in+Sciences+%26+Engineering+%28Sage+Publications+Inc%2E%29%22">Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.)</searchLink>. Sep2025, Vol. 25 Issue 5, p3961-3972. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Content+mining%22">Content mining</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+transformation%22">Digital transformation</searchLink><br /><searchLink fieldCode="DE" term="%22Artistic+creation%22">Artistic creation</searchLink><br /><searchLink fieldCode="DE" term="%22Copyright%22">Copyright</searchLink><br /><searchLink fieldCode="DE" term="%22Paper+arts%22">Paper arts</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22South+Korea%22">South Korea</searchLink><br /><searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: As AI technology continues to advance, the integration of AI and arts has become increasingly significant for countries aiming to become cultural powerhouses and develop robust digital strategies. Modern AI enhances artistic creation, personalized experiences, and accessibility. Therefore, it is necessary to study how AI and arts are currently being integrated. Utilizing text mining techniques, we analyze research papers on AI and art integration in China and Korea using ROST CM 6.0, identifying key trends and differences. Our findings reveal that China focuses on the digital inheritance and transformation of traditional culture in the context of modern AI technology, striving to establish cultural power. In contrast, Korea emphasizes legal rights and standardization in the integration of AI and art, with a strong focus on copyright protection. Future research should prioritize interdisciplinary approaches, examine AI art applications from a macroscopic perspective, and develop strategies for AI to inherit traditional art based on successful global examples. Additionally, ongoing discussions and research on copyright issues arising from AI art integration are essential. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/14727978251337903 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 3961 Subjects: – SubjectFull: Content mining Type: general – SubjectFull: Digital transformation Type: general – SubjectFull: Artistic creation Type: general – SubjectFull: Copyright Type: general – SubjectFull: Paper arts Type: general – SubjectFull: South Korea Type: general – SubjectFull: China Type: general Titles: – TitleFull: Exploring research trends and hotspots in AI and art integration: ROST text mining analysis of China and South Korea. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yuan, Hailong – PersonEntity: Name: NameFull: Kim, Yanggi – PersonEntity: Name: NameFull: Zhang, Jiaxu – PersonEntity: Name: NameFull: Li, Lanli IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 14727978 Numbering: – Type: volume Value: 25 – Type: issue Value: 5 Titles: – TitleFull: Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.) Type: main |
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