Next Article in Journal
Aquaculture Land-Use Policy: The Case of Clam Farming in Thaibinh Province, Vietnam
Previous Article in Journal
Does the Central Government’s Environmental Policy Work? Evidence from the Provincial-Level Environment Efficiency in China
Article Menu

Export Article

Open AccessArticle
Sustainability 2016, 8(12), 1252; doi:10.3390/su8121252

Technology Clusters Exploration for Patent Portfolio through Patent Abstract Analysis

1
Korea Intellectual Property Strategy Agency, Seoul 06132, Korea
2
Department of Industrial Management Engineering, Korea University, Seoul 02841, Korea
3
Graduate School of Management of Technology, Korea University, Seoul 02841, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Yongrok Choi
Received: 30 June 2016 / Revised: 19 October 2016 / Accepted: 28 November 2016 / Published: 1 December 2016
View Full-Text   |   Download PDF [1109 KB, uploaded 1 December 2016]   |  

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. View Full-Text
Keywords: technology clusters; patent analysis; sustainable R&D; affinity propagation clustering; TF-IDF weight technology clusters; patent analysis; sustainable R&D; affinity propagation clustering; TF-IDF weight
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Kim, G.; Lee, J.; Jang, D.; Park, S. Technology Clusters Exploration for Patent Portfolio through Patent Abstract Analysis. Sustainability 2016, 8, 1252.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top