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Identification and Analysis of Converging Technology Based on Patent Co-Classification Relationship

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Published:23 May 2018Publication History

ABSTRACT

Patent documents are an ample source for technical knowledge, and increased dramatically in recent years. This paper aims at identifying and analyzing converging technology based on patent analysis. The identification method of Converging technology is through cluster analysis based on USPC co-occurrence matrix calculated by the cross USPC class patents of five parties during the 2005-2015 years. Finally, 161 converging technologies are identified. Converging technology is mainly distributed in the new generation of information technology, new material industry. High end equipment manufacturing industry is the most active industry in technological convergence.

References

  1. Rosenberg N. Technological Change in the Machine Tool Industry, 1840--1910{J}. Journal of Economic History, 1963, 23(4):414--443.Google ScholarGoogle ScholarCross RefCross Ref
  2. Geum Y, Kim C, Lee S, et al. Technological Convergence of IT and BT: Evidence from Patent Analysis{J}. ETRI Journal, 2012, 34(3):439--449Google ScholarGoogle ScholarCross RefCross Ref
  3. Tijssen R J W. A quantitative assessment of interdisciplinary structures in science and technology: Co-classification analysis of energy research {J}. Research Policy, 1992, 21(1):27--44Google ScholarGoogle ScholarCross RefCross Ref

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  1. Identification and Analysis of Converging Technology Based on Patent Co-Classification Relationship

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    • Published in

      cover image ACM Conferences
      JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
      May 2018
      453 pages
      ISBN:9781450351782
      DOI:10.1145/3197026

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 23 May 2018

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      Acceptance Rates

      JCDL '18 Paper Acceptance Rate26of71submissions,37%Overall Acceptance Rate415of1,482submissions,28%

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