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| 数智时代科技期刊知识服务平台建设研究——以中华医学会杂志社“知识中台”为例 |
| Research on the Construction of Knowledge Service Platforms for STM Journals in the Era of Intelligent Digitalization: A Case Study of the “Knowledge Middle Platform” of the Chinese Medical Association Publishing House |
| 投稿时间：2025-06-06 修订日期：2025-07-13 |
| DOI： |
| 中文关键词: 知识服务 科技期刊 知识中台 生成式人工智能 |
| 英文关键词: knowledge services scientific journals knowledge middle platform generative artificial intelligence |
| 基金项目:中国科技期刊卓越行动计划二期集群(集团)化试点项目 A2 |
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| 中文摘要: |
| 面对数智时代学术出版范式的深刻转型,中华医学会杂志社积极探索从传统出版平台向智能化知识服务平台的战略升级,启动“知识中台”建设,作为“数字中台”体系的重要组成部分。本文系统梳理了知识中台的建设背景、功能架构与技术路径,围绕检索增强生成(RAG)、知识图谱、智能体编排及大语言模型等核心技术,探讨其在科技期刊知识组织、语义推理与服务能力建设中的作用。平台采用“知识即服务”(KaaS)理念,通过标准化API接口赋能多类用户终端,面向科研、出版、临床与公众场景提供结构化、可调用、可持续的智能知识服务。同时,本文也探讨了建设及运营过程中可能面临的关键挑战,包括技术局限性、运营难度、模型精度、人才结构与成本投入等问题,旨在为我国科技期刊的智能化转型提供参考路径与实践借鉴。 |
| 英文摘要: |
In response to the profound transformation of academic publishing in the era of intelligent digitalization, the Chinese Medical Association Publishing House has proactively pursued a strategic upgrade from traditional publishing platforms to intelligent knowledge service platforms through the development of a "Knowledge Middle Platform" (KMP), a key component of its overarching "Digital Middle Platform" system. This paper systematically examines the background, functional architecture, and technical roadmap of the KMP, with a particular focus on core technologies such as Retrieval-Augmented Generation (RAG), knowledge graphs, agent orchestration, and large language models. Anchored in the Knowledge-as-a-Service (KaaS) paradigm, the platform delivers structured, callable, and sustainable intelligent knowledge services via standardized API interfaces, supporting diversified end-users across research, publishing, clinical, and public health domains. The study also identifies and analyzes key challenges encountered during the platform’s development, including technical limitations, operational complexity, model accuracy, talent structure, and cost considerations. The findings aim to provide practical insights and reference pathways for the intelligent transformation of scientific journals in China. |
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