| 秦媛1, 2 王浩 2 张家林 2 江海深 3 马朝阳 4 胡建军 4 杨闿文 4.基于文本挖掘的国家质量基础重点专项科技成果分析[J].中国科技资源导刊,2026,(4):11~18 |
| 基于文本挖掘的国家质量基础重点专项科技成果分析 |
| Analysis of Scientific and Technical Achievements of the National Quality Infrastructure Key Special Project Based on Text Mining |
| 投稿时间：2026-02-10 |
| DOI： |
| 中文关键词: 国家质量基础;文本挖掘;科技成果;统计分析;可视化 |
| 英文关键词: national quality infrastructure, text mining, scientific and technical achievements, statistical analysis, visualization |
| 基金项目: |
| 作者 | 单位 | | 秦媛1, 2 王浩 2 张家林 2 江海深 3 马朝阳 4 胡建军 4 杨闿文 4 | (1. 北京工业大学环境科学与工程学院，北京 100124
2. 中国 21 世纪议程管理中心，北京 100038
3. 中国矿业大学化工学院，江苏徐州 221116
4. 矿冶科技集团有限公司，北京 100160) |
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| 摘要点击次数: 30 |
| 全文下载次数: 23 |
| 中文摘要: |
| 针对“国家质量基础的共性技术研究与应用”重点专项(简称“国家质量基础重点专项”)，以2016—2019年的项目信息为样本，从成果形式、所属产业类型、成果主题等维度，利用文本挖掘、共词分析等方法，对15961项科技成果进行统计分析、可视化展示、语义网络分析与网络中心性分析。分析结果显示:专项任务以重大共性关键技术为主导，占比为88.48%;知识产权等软性科技成果较多，国家标准物质、检测仪器设备等硬性成果较少;语义网络中“技术”“标准”“评价”“规范”等词汇处于核心节点。研究揭示了该领域的研究重点与成果分布规律，为国家质量基础多要素综合应用示范及体系架构演进研究提供了数据支撑。 |
| 英文摘要: |
| To scientifically evaluate the scientific and technical achievements of the Key Special Project “Research and Application of Generic Technologies for National Quality Infrastructure”, this paper takes project data from 2016 to 2019 as research samples. From the dimensions of output form, industrial affiliation, and output themes, text mining, co-word analysis, and other methods are employed to conduct statistical analysis, visual analysis, semantic network analysis, and network centrality analysis on 15, 961 technical achievements. The results indicate that: the deployment is dominated by major generic key technologies, accounting for 88.48%; soft technological achievements such as intellectual property are relatively numerous, while hard achievements such as national reference materials, testing equipment or instruments are fewer; keywords including “technology, ” “standards, ” “evaluation, ” and “specifications” are the core nodes in the semantic network. This study identifies research priorities and output deployment focuses in the field, providing a quantitative data foundation for research on multi-factor integrated application demonstrations and the evolution of system architecture within the national quality infrastructure framework. |
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