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| Identifying Key Technologies in Controlled Games Based on Control Paths in Commerce Control List |
| Guo Hongmei1, Chen Xingyu1, Chen Yubei1, Zhao Qing1, Li Guangjian2 |
1.Institute of Scientific and Technical Information of China, Beijing 100038 2.Department of Information Management, Peking University, Beijing 100871 |
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Abstract The identification of key and core technologies is crucial to national technological security and industrial development. We utilized the U.S. Commerce Control List (CCL) as the core data source. This study designed a technical element extraction agent and inspection evaluation agent to accurately extract technical concepts, attribute features, and various relational patterns such as hierarchical structures, associated control relationships, and technical dependencies from complex texts. The main-path analysis method was employed to identify critical control paths within the control network while considering the key nodes along them as game-controlled critical technologies. An empirical analysis of quantum computer controls provides a novel perspective on the logic behind external controls and key technological focuses, and offers informational references for building an autonomous and controllable technology system in China.
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Received: 24 September 2025
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1 马永红, 孔令凯, 林超然, 等. 基于专利挖掘的关键共性技术识别研究[J]. 情报学报, 2020, 39(10): 1093-1103. 2 陈英武, 郑江淮, 孙冬卿, 等. 基于进出口数据和专利数据的关键核心技术识别——以江苏为例[J]. 中国科技论坛, 2024(11): 91-103, 113. 3 韦景竹, 张桐瑞, 马芷晴. 基于科技报告的关键共性技术识别[J]. 情报杂志, 2025, 44(4): 153-159, 199. 4 胡川, 陈昊. 基于xDeepFM模型的关键核心技术识别及竞争态势分析[J]. 情报杂志, 2024, 43(9): 101-111. 5 滕飞, 张奇, 曲建升, 等. 基于专利竞争力指数和Doc-LDA主题模型的关键核心技术识别研究——以新能源汽车为例[J]. 数据分析与知识发现, 2024, 8(11): 33-46. 6 陈升, 杨恒, 张楠. 基于Guided BERTopic模型的产业链关键核心技术识别与发展趋势研判——以未来工业互联网为例[J]. 科学管理研究, 2024, 42(3): 35-44. 7 Momeni A, Rost K. Identification and monitoring of possible disruptive technologies by patent-development paths and topic modeling[J]. Technological Forecasting and Social Change, 2016, 104: 16-29. 8 陶治宇, 刘小平, 梁爽, 等. 基于主路径分析和引文文本挖掘的关键核心技术基础研究结构识别[J]. 情报杂志, 2025, 44(2): 72-81. 9 吕鲲, 罗星雨, 靖继鹏. 融合CFDP和CPM分析的关键核心技术识别及其路径分析[J]. 图书情报工作, 2024, 68(16): 75-89. 10 袁钺, 庞娜, 李广建. 美国《商业管制清单》中技术指标自动抽取研究[J]. 数据分析与知识发现, 2023, 7(1): 35-48. 11 李勃慧, 曾建勋. 基于管制清单的领域技术知识库构建研究[J]. 情报理论与实践, 2023, 46(7): 132-139. 12 韩爽. 美国出口管制从关键技术到新兴和基础技术的演变分析[J]. 情报杂志, 2020, 39(12): 33-39. 13 贺德方, 李广建, 汤富强, 等. 国外技术出口管制演进分析与应对策略研究[J]. 中国科学院院刊, 2024, 39(1): 79-94. 14 李广建, 王锴, 张庆芝. 基于多源数据的美国出口管制分析框架及其实证研究[J]. 数据分析与知识发现, 2020, 4(9): 26-40. 15 吕璐成, 韩涛, 陈芳, 等. 美国商业管制清单与专利自动映射方法及实证研究[J]. 情报学报, 2022, 41(1): 50-61. 16 朱宇婧, 陈芳, 赵萍, 等. 融合美国商业管制清单和专利的技术链关键路径识别研究——以EDA软件领域为例[J]. 图书情报工作, 2023, 67(21): 89-99. 责任编辑 王克平) |
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