4.5 Article

Analyzing patent topical information to identify technology pathways and potential opportunities

Journal

SCIENTOMETRICS
Volume 102, Issue 1, Pages 811-827

Publisher

SPRINGER
DOI: 10.1007/s11192-014-1392-6

Keywords

Patent analysis; Text mining; Tech mining; Technology pathways; Technology opportunities analysis; Nano-enabled drug delivery

Funding

  1. US National Science Foundation, Science of Science & Innovation Policy (SciSIP) Program [1064146]
  2. SBE Off Of Multidisciplinary Activities
  3. Direct For Social, Behav & Economic Scie [1064146] Funding Source: National Science Foundation

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As a basic knowledge resource, patents play an important role in identifying technology development trends and opportunities, especially for emerging technologies. However patent mining is restricted and even incomplete, because of the obscure descriptions provided in patent text. In this paper, we conduct an empirical study to try out alternative methods with Derwent Innovation Index data. Our case study focuses on nano-enabled drug delivery (NEDD) which is a very active emerging biomedical technology, encompassing several distinct technology spaces. We explore different ways to enhance topical intelligence from patent compilations. We further analyze extracted topical terms to identify potential innovation pathways and technology opportunities in NEDD. As a basic knowledge resource, patents play an important role in identifying technology development trends and opportunities, especially for emerging technologies. However patent mining is restricted and even incomplete, because of the obscure descriptions provided in patent text. In this paper, we conduct an empirical study to try out alternative methods with Derwent Innovation Index data. Our case study focuses on nano-enabled drug delivery (NEDD) which is a very active emerging biomedical technology, encompassing several distinct technology spaces. We explore different ways to enhance topical intelligence from patent compilations. We further analyze extracted topical terms to identify potential innovation pathways and technology opportunities in NEDD.

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