Analyzing patent topical information to identify technology pathways and potential opportunities

Jing Ma () and Alan L. Porter ()
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Jing Ma: Beijing Institute of Technology
Alan L. Porter: Georgia Institute of Technology

Scientometrics, 2015, vol. 102, issue 1, No 41, 827 pages

Abstract: Abstract 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.

Keywords: Patent analysis; Text mining; Tech mining; Technology pathways; Technology opportunities analysis; Nano-enabled drug delivery (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (14)

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DOI: 10.1007/s11192-014-1392-6

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