Technology Clusters Exploration for Patent Portfolio through Patent Abstract Analysis

Gabjo Kim, Joonhyuck Lee, Dongsik Jang and Sangsung Park
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Gabjo Kim: Korea Intellectual Property Strategy Agency, Seoul 06132, Korea
Joonhyuck Lee: Department of Industrial Management Engineering, Korea University, Seoul 02841, Korea
Dongsik Jang: Department of Industrial Management Engineering, Korea University, Seoul 02841, Korea
Sangsung Park: Graduate School of Management of Technology, Korea University, Seoul 02841, Korea

Sustainability, 2016, vol. 8, issue 12, 1-13

Abstract: This study explores technology clusters through patent analysis. The aim of exploring technology clusters is to grasp competitors’ levels of sustainable research and development (R&D) and establish a sustainable strategy for entering an industry. To achieve this, we first grouped the patent documents with similar technologies by applying affinity propagation (AP) clustering, which is effective while grouping large amounts of data. Next, in order to define the technology clusters, we adopted the term frequency-inverse document frequency (TF-IDF) weight, which lists the terms in order of importance. We collected the patent data of Korean electric car companies from the United States Patent and Trademark Office (USPTO) to verify our proposed methodology. As a result, our proposed methodology presents more detailed information on the Korean electric car industry than previous studies.

Keywords: technology clusters; patent analysis; sustainable R&D; affinity propagation clustering; TF-IDF weight (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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