图书情报工作 ›› 2017, Vol. 61 ›› Issue (5): 95-102.DOI: 10.13266/j.issn.0252-3116.2017.05.013

• 情报研究 • 上一篇    下一篇

基于AToT模型的技术主题多维动态演化分析——以石墨烯技术为例

吴菲菲, 张亚茹, 黄鲁成, 李欣, 栾静静   

  1. 北京工业大学经济与管理学院 北京 100124
  • 收稿日期:2016-10-27 修回日期:2017-02-22 出版日期:2017-03-05 发布日期:2017-03-05
  • 通讯作者: 张亚茹(ORCID:0000-0001-9866-0071),硕士研究生,通讯作者,E-mail:zhangyaru@emails.bjut.edu.cn
  • 作者简介:吴菲菲(ORCID:0000-0002-6869-7751),教授,博士;黄鲁成(ORCID:0000-0001-9255-0226),教授,博士生导师;李欣,副教授,博士后;栾静静(ORCID:0000-0001-5509-3097),硕士研究生。
  • 基金资助:

    本文系国家社会科学基金重大项目"新兴技术未来分析理论方法与产业创新研究"(项目编号:11&ZD140)和国家自然科学基金面上项目"基于多源异构数据的新兴技术形成机理研究"(项目编号:71673018)研究成果之一。

Multi-dimension Dynamic Evolution Analysis of Technology Topics Based on AToT by Taking Grapheme Technology as an Example

Wu Feifei, Zhang Yaru, Huang Lucheng, Li Xin, Luan Jingjing   

  1. School of Economics and Management, Beijing University of Technology, Beijing 100124
  • Received:2016-10-27 Revised:2017-02-22 Online:2017-03-05 Published:2017-03-05

摘要:

[目的/意义] 基于AToT模型的多维动态演化分析,不仅可以全面地了解技术主题的动态变化,把握不同时期不同企业的技术布局变化,还可以掌握产业链各环节的技术发展状态,为企业创新提供强有力的决策支持。[方法/过程] 首先提取专利文献摘要中的名词或者名词短语,然后利用AToT模型揭示专利文献中隐含的主题演化及专利权人的技术关注点,最后结合产业链信息把握产业各个环节的发展状况。[结果/结论] 实验结果证明,该方法能够高效地分析专利的内容,揭示企业技术主题的动态演化过程。

关键词: AToT, 主题演化, 石墨烯

Abstract:

[Purpose/significance] Multi-dimension evolution analysis based on the AToT model could not only provide thorough insights into the evolution process of technology topics, mastering technological composition trends among industries in different periods, but have advantages in analyzing the technological development process in each tache of the industry chain, laying solid foundation for industrial innovation. [Method/process] This paper revealed the latent technology topics and technological attention of patent-owners through keywords and phrases which were extracted from abstracts in each patent document, and showed deep insight into the technological development status with industry chain information. [Result/conclusion] The experiment turns out that the method provided in this paper could not only analyze the content of patents effectively, but reveal the dynamic evolution process of enterprise technological topics.

Key words: AToT, topic evolution, grapheme

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