图书情报工作 ›› 2020, Vol. 64 ›› Issue (12): 118-126.DOI: 10.13266/j.issn.0252-3116.2020.12.013

• 知识组织 • 上一篇    下一篇

多级需求分析视域下高校专利转移对象识别研究——以石墨烯为例

伊惠芳1,2, 吴红3   

  1. 1. 中国科学院文献情报中心 北京 100190;
    2. 中国科学院大学经济与管理学院图书情报与档案管理系 北京 100190;
    3. 山东理工大学科技信息研究所 淄博 255049
  • 收稿日期:2019-11-15 修回日期:2020-02-08 出版日期:2020-06-20 发布日期:2020-06-20
  • 通讯作者: 吴红(ORCID:0000-0002-1708-7638),研究馆员,硕士,硕士生导师,通讯作者,E-mail:wuhong0256@163.com
  • 作者简介:伊惠芳(ORCID:0000-0003-0094-7993),博士研究生。
  • 基金资助:
    本文系国家社会科学基金项目"高校图书馆深度嵌入专利运营研究"(项目编号:16BTQ029)研究成果之一。

A Study on University Patent Transfer Object Recognition Based on Multi-level Requirements Analysis——Graphene as a Case Study

Yi Huifang1,2, Wu Hong3   

  1. 1. National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2. Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    3. Science and Technology Information Research Institute, Shandong University of Technology, Zibo 255049
  • Received:2019-11-15 Revised:2020-02-08 Online:2020-06-20 Published:2020-06-20

摘要: [目的/意义] 高校专利技术转移对象识别对提高专利转移转化率、有效促进科技与经济紧密结合、实现创新驱动发展具有积极意义。[方法/过程] 研究用企业技术需求表征市场需求,首先基于改进的技术树方法构建领域多维信息技术树,然后在对技术需求分类的基础上,分析技术需求文档的文本特征和需求内容特征,确定需求提取规则和需求类型,最后构建不同场景下的需求-技术匹配模型。[结果/结论] 以石墨烯领域专利数据对创建模型的有效性进行实证分析,结果表明基于技术需求去匹配能够满足条件的高校专利,以此来挖掘高校专利运营客户,是有的放矢推销高校专利、促进专利转化的有效手段。

关键词: 需求分析, 专利技术转移对象, 多维技术树, 高校专利

Abstract: [Purpose/significance] The identification of university patent transfer objects has positive significance for improving patent transfer conversion rate, effectively promoting the close integration of technology and economy, and achieving innovation-driven development.[Method/process] This paper used the technical requirements of enterprises to represent the market demand. Firstly, the domain multi-dimensional information technology tree was constructed based on the improved technology tree method, and then this paper analyzed the text characteristics and requirements content characteristics of the technical requirements document to determine the extraction rules and demand types based on the classification of technical requirements, and finally constructed the demand-technology matching model in different scenarios according to the demand type.[Result/conclusion] The feasibility of the method is verified by the patent data of graphene, and the results show that it is an effective means to strategically market college patents and promote patent conversion by matching the patents of colleges based on technical requirements to search for university patent operation customers.

Key words: demand analysis, patent transfer object, multi-dimensional technology tree, university patent

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