A Generative Artificial Intelligence-Driven Knowledge Service Model for Art Resources in Higher Vocational Libraries

Cheng Zhang

doi:10.47297/wspiedWSP2516-250011.20261006

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A Generative Artificial Intelligence-Driven Knowledge Service Model for Art Resources in Higher Vocational Libraries

Volume 10, Issue 6

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A Generative Artificial Intelligence-Driven Knowledge Service Model for Art Resources in Higher Vocational Libraries
A Generative Artificial Intelligence-Driven Knowledge Service Model for Art Resources in Higher Vocational Libraries
Library of Nanchong Vocational and Technical College, Nanchong Vocational and Technical College, Nanchong, Sichuan, 637131, China
Vol. 10, Issue 6, Pages: 47-52(2026)
Online First：11 August 2026，

Published：30 June 2026
DOI：10.47297/wspiedWSP2516-250011.20261006
Accepted：

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Cheng Zhang.A Generative Artificial Intelligence-Driven Knowledge Service Model for Art Resources in Higher Vocational Libraries[J].Journal of International Education and Development,2026,10(06):47-52.
DOI：

Cheng Zhang.A Generative Artificial Intelligence-Driven Knowledge Service Model for Art Resources in Higher Vocational Libraries[J].Journal of International Education and Development,2026,10(06):47-52. DOI： 10.47297/wspiedWSP2516-250011.20261006.

摘要

Abstract

Generative Artificial Intelligence (GAI) is transforming library knowledge services toward intelligent and personalized models. Focusing on art resources in higher vocational libraries

this study examines existing challenges and explores a GAI-driven knowledge service framework. Using literature analysis and theoretical construction methods

the study identifies key issues

including limited resource discovery

weak knowledge association

insufficient innovation support

and inadequate personalized services. To address these challenges

a GAI-enabled model integrating resource organization

knowledge association

and innovation support is proposed. The findings suggest that GAI can enhance knowledge discovery

semantic linkage

and intelligent service capabilities

promoting the transformation of libraries from resource management institutions into intelligent knowledge service and innovation support platforms. This study provides a theoretical reference for smart library development and art resource knowledge services.

关键词

Keywords

references

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