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一种基于专利文本的技术系统构成识别方法 被引量:6

Method of Recognizing Technological Architecture Component Based on Patent Documents
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摘要 基于专利中术语共现关系,采用同质块建模方法对连续时间段术语共现网络的变化情况进行聚类,以识别技术演化过程中的新兴技术系统构成,并且以硬盘驱动器领域磁头技术为例进行实证分析。实证结果表明,该方法能够对技术系统构成进行有效识别。 Based on terminologies' cooccurrence among patent documents, this paper clusters difference between terminologies' cooccurrence network of sequential phrases via homogeneity block modeling on purpose of getting upand coming technological architecture component during technological evolution process. After that we employ head techniques of hard disk drive to execute our empirical analysis, the result shows that our method can recognize technological architecture component effectively.
作者 陈亮 张志强
出处 《图书情报工作》 CSSCI 北大核心 2014年第10期134-137,144,共5页 Library and Information Service
基金 科学技术部项目"面向科技创新的专利信息加工与服务关键技术研究与应用规范"(项目编号:2013BAH21B00)研究成果之一
关键词 技术系统构成 专利分析 同质块建模 术语共现网络 硬盘驱动器 technological architecture component patent analysis homogeneity block modeling terminology cooccurrence network hard disk drive
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参考文献9

  • 1Christensenc.创新者的窘境[M].胡建桥,泽.北京:中信出版社.2010.
  • 2Yoon B. A text-mining-based patent network:Analytical tool for high-technology trend[J].The Journal of High Technology Management Research, 2004, 15(1):37-50.
  • 3Chang Paolong, Wu Chaochan, Leu Hoang-Jyh. Using patent analyses to monitor the technological trends in an emerging field of technology:A case of carbon nanotube field emission display[J].Scientometrics, 2010(82): 5-19.
  • 4Kim Y G.Visualization of patent analysis for emerging technology[J].Expert System with Application, 2008, 34(3):1804-1812.
  • 5Frantzi K, Ananiadou S, Mima H.Automatic recognition of multi-word terms[J].International Journal of Digital Libraries, 2000, 3(2):117-132.
  • 6Ales Z.Generalized blockmodeling of valued networks[J].Social Networks, 2007, 29(1):105-126.
  • 7Package ‘blockmodeling'[EB/OL].[2014-04-05].http://cran.r-project.org/web/packages/blockmodeling/blockmodeling.pdf.
  • 8GMR[EB/OL].[2013-08-05]. http://www.webopedia.com/TERM/G/GMR.html.
  • 9Keiichi N, Arata J, Takahiro I, et al.CPP-GMR technology for future high-density magnetic recording[EB/OL].[2013-08-05].http://www.fujitsu.com/downloads/MAG/vol42-1/paper17.pdf.

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