| 面向语义信息分析的多层次技术演化轨迹识别方法研究 |
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| 引用本文： | 马铭,王超,许海云,龚兵营,周勇.面向语义信息分析的多层次技术演化轨迹识别方法研究[J].图书情报工作,2022,66(4):103-117. |
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| 作者姓名： | 马铭 王超 许海云 龚兵营 周勇 |
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| 作者单位： | 1. 齐鲁工业大学(山东省科学院)科技发展战略研究所 济南 250014;2. 齐鲁工业大学(山东省科学院)情报研究所 济南 250014;3. 山东理工大学管理学院 淄博 255000 |
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| 基金项目： | 本文系山东省科学院青年基金项目"医药领域中突破性技术创新的识别研究"（项目编号：2020QN0012）研究成果之一。 |
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| 摘 要： | 目的 /意义]面向语义信息以层次渐进的方式识别技术演化轨迹,有助于加强对技术细节的理解并提升轨迹识别的准确性.方法/过程]首先,提取专利和科技论文的SAO结构,依据语义信息确定研究主题,并利用S曲线分析技术生命周期.其次,借助机器学习算法与社会网络分析指标,分不同周期,通过多层次提取,筛选技术演化轨迹.最后,以造血...
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| 关 键 词： | 技术演化 演化轨迹 文本分析 语义信息 社会网络分析 |
| 收稿时间： | 2021-06-15 |
| 修稿时间： | 2021-10-03 |
Research on Multi-Level Technology Evolution Trajectory Recognition Method Facing Semantic Information Analysis |
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| Ma Ming,Wang Chao,Xu Haiyun,Gong Bingying,Zhou Yong.Research on Multi-Level Technology Evolution Trajectory Recognition Method Facing Semantic Information Analysis[J].Library and Information Service,2022,66(4):103-117. |
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| Authors: | Ma Ming Wang Chao Xu Haiyun Gong Bingying Zhou Yong |
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| Institution: | 1. Institute of Science and Technology for Development, Qilu University of Technology(Shandong Academy of Sciences), Jinan 250014;2. Information Research Institute, Qilu University of Technology(Shandong Academy of Sciences), Jinan 250014;3. School of Management, Shandong University of Technology, Zibo 255000 |
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| Abstract: | Purpose/significance] Based on semantic information, identifying the technological evolution trajectory in a hierarchical and gradual manner is helpful to strengthen the understanding of technical details and improve the accuracy of trajectory recognition.Method/process] Firstly, this paper extracted the SAO structure of patents and scientific papers, determined the research topic based on semantic information, and used the S curve to determine the technology life cycle. Secondly, with the help of the machine learning algorithms and social network analysis indicators, the technology evolution trajectory was extracted and filtered in different cycles and at multiple levels. Taking the field of hematopoietic stem cells as the object of empirical analysis, this study found that there was a significant difference between the research focus of patents and scientific papers related to the subject of genetic etiology in this field. The topic had not yet developed a unified evolutionary path, and the researches on immune system diseases and diabetes were a potential evolutionary trend in the future.Result/conclusion] The method proposed in this paper gradually realizes the extraction and condensing of complex technological evolution path through objective numerical calculation results. While revealing the main technological development process, method proposed in this paper can objectively predict the technological evolution trend. |
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| Keywords: | technology evolution evolution trajectory text analysis semantic information social network analysis |
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