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New Indicator of Science and Technology Inter-Relationship by Using Text Information of Research Articles and Patents in Japan

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  • MOTOHASHI Kazuyuki
  • KOSHIBA Hitoshi
  • IKEUCHI Kenta

Abstract

In this study, the text information of academic papers (about 2.3 million) published by Japanese authors and patents filed with the Japan Patent Office (about 12 million) since 1990 are used for analyzing the relationship between science and technology. Specifically, a distributed representation vector using the title and abstract of each document is created, then neighboring documents to each are extracted using cosine similarity. A time trend and sector specific linkage of science and technology are identified by using the count of neighbor patents (papers) for each paper (patent). It is found that the number of patents with similar technical contents of paper decreased over time while the number of papers with similar contents of patent increased. This can be interpreted as meaning that first scientific papers advance the frontiers of science, and then technological progress (in the form of patents) follows, in fields where substantial scientific knowledge already existed. This paper proposes a new methodology of measuring science and technology linkage by using text information as a complement to traditional indicators based on non-patent literature citations of patents.

Suggested Citation

  • MOTOHASHI Kazuyuki & KOSHIBA Hitoshi & IKEUCHI Kenta, 2021. "New Indicator of Science and Technology Inter-Relationship by Using Text Information of Research Articles and Patents in Japan," Discussion papers 21025, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:21025
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    References listed on IDEAS

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    1. IKEUCHI Kenta & MOTOHASHI Kazuyuki & TAMURA Ryuichi & TSUKADA Naotoshi, 2017. "Measuring Science Intensity of Industry using Linked Dataset of Science, Technology and Industry," Discussion papers 17056, Research Institute of Economy, Trade and Industry (RIETI).
    2. Magerman, Tom & Looy, Bart Van & Debackere, Koenraad, 2015. "Does involvement in patenting jeopardize one’s academic footprint? An analysis of patent-paper pairs in biotechnology," Research Policy, Elsevier, vol. 44(9), pages 1702-1713.
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    Cited by:

    1. Lee, Gyumin & Lee, Sungjun & Lee, Changyong, 2023. "Inventor–licensee matchmaking for university technology licensing: A fastText approach," Technovation, Elsevier, vol. 125(C).

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