Innovation Topic Analysis of Technology: The Case of Augmented Reality Patents
- Authors
- Choi, Hayoung; Oh, Seunghyun; Choi, Sungchul; Yoon, Janghyeok
- Issue Date
- 2018
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Patent mining; topic modeling; network analysis; opportunity analysis; augmented reality technology
- Citation
- IEEE ACCESS, v.6, pp.16119 - 16137
- Journal Title
- IEEE ACCESS
- Volume
- 6
- Start Page
- 16119
- End Page
- 16137
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/5309
- DOI
- 10.1109/ACCESS.2018.2807622
- ISSN
- 2169-3536
- Abstract
- Innovation topics within a technology can be defined as generalized technical subjects that the technology desires to develop or improve. Since innovation topics act as a driving force for technical innovation, monitoring such concepts is necessary for understanding the current technology and directing further R&D. However, little attention has been paid to identifying latent innovation topics within a technology, and analyzing their relationships and potential for opportunity. Therefore, this paper proposes a multi-step approach to technological innovation topic analysis, on the basis of patents. The steps consist of: 1) structuring patent-keyword vectors; 2) identifying innovation topics based on semantic patent analysis; 3) constructing an innovation topic network; and 4) generating an opportunity-focused innovation topic map. The process of our approach is illustrated using patents that are related to augmented reality. This method can contribute to the systematic monitoring of a technology system's innovation topics and their potential.
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Collections - 공과대학 > 산업경영공학과 > 1. Journal Articles
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