DeepSeek Empowers Smart Services for Internal Network Libraries

XU Cheng, JIN Ming

High-Technology and Commercialization ›› 2025, Vol. 31 ›› Issue (10) : 44.

主管:中国科学院
主办:中国科学院文献情报中心、中国高科技产业化研究会
ISSN:1006-222X
CN:11-3556/N
High-Technology and Commercialization ›› 2025, Vol. 31 ›› Issue (10) : 44.

DeepSeek Empowers Smart Services for Internal Network Libraries

  • XU Cheng,JIN Ming
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Abstract

This paper systematically explores the application scenarios of DeepSeek technology in the intelligent services of school intranet libraries. By constructing a three-dimensional analytical framework of “technology empowerment-scenario innovation-risk prevention and control,” it reveals the technical implementation pathways in areas such as intelligent retrieval, knowledge recommendation, and resource management. Combining school characteristics, the study investigates how to establish a localized deployment security architecture based on “data closed-loop-permission hierarchy-dynamic desensitization,” and proposes a collaborative governance mechanism of “technical verification-human intervention-institutional constraints” to address risks such as AI hallucination and information cocoons.

Key words

DeepSeek / intelligent retrieval / knowledge graph / resource evaluation / AI governance

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XU Cheng, JIN Ming. DeepSeek Empowers Smart Services for Internal Network Libraries[J]. High-Technology and Commercialization. 2025, 31(10): 44

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