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
发布时间：2018-08-15 15:38
【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。
[Abstract]:[objective / significance] Multi-dimensional dynamic evolution analysis based on AToT model can not only comprehensively understand the dynamic changes of technology themes, but also grasp the technological layout changes of different enterprises in different periods. It can also grasp the technological development status of each link of the industrial chain, and provide strong decision support for enterprise innovation. [method / process] first extracting nouns or noun phrases from the abstracts of patent documents, then using the AToT model to reveal the underlying thematic evolution and patentee's technical concerns in the patent literature. Finally, the industrial chain information grasp the development of each link of the industry. [results / conclusion] the experimental results show that this method can efficiently analyze the content of patent and reveal the dynamic evolution process of enterprise technology subject.
【作者单位】： 北京工业大学经济与管理学院;
【基金】：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) 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
【分类号】：G353.1;TQ127.11
，
本文编号：2184652
[Abstract]:[objective / significance] Multi-dimensional dynamic evolution analysis based on AToT model can not only comprehensively understand the dynamic changes of technology themes, but also grasp the technological layout changes of different enterprises in different periods. It can also grasp the technological development status of each link of the industrial chain, and provide strong decision support for enterprise innovation. [method / process] first extracting nouns or noun phrases from the abstracts of patent documents, then using the AToT model to reveal the underlying thematic evolution and patentee's technical concerns in the patent literature. Finally, the industrial chain information grasp the development of each link of the industry. [results / conclusion] the experimental results show that this method can efficiently analyze the content of patent and reveal the dynamic evolution process of enterprise technology subject.
【作者单位】： 北京工业大学经济与管理学院;
【基金】：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) 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
【分类号】：G353.1;TQ127.11
，
本文编号：2184652
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