Technological cognitive diagnosis model for patent keyword analysis
Technological cognitive diagnosis model for patent keyword analysis
박상성(청주대학교); Sunghae Jun(Cheongju University)
6권 1호, 57~61쪽
초록
Patent analysis has been performed in various areas of technology management to understand technology such as research and development planning, new product development, technology innovation, sustainable technology etc. In the patent analysis, the analysis of patent keywords with technological information is very popular and meaningful. So we study on a method for patent keyword analysis, and use the cognitive diagnosis model (CDM) to construct the proposed method. We call our method technological cognitive diagnosis model (TCDM), this provides significant technology structure for understanding target technology using the result of patent keyword analysis by TCDM. We illustrate the performance of the TCDM by the experiments using the patent documents related to artificial intelligence (AI) technology. The final goal of these experiments is to find the relationship between core technologies for AI.
Abstract
Patent analysis has been performed in various areas of technology management to understand technology such as research and development planning, new product development, technology innovation, sustainable technology etc. In the patent analysis, the analysis of patent keywords with technological information is very popular and meaningful. So we study on a method for patent keyword analysis, and use the cognitive diagnosis model (CDM) to construct the proposed method. We call our method technological cognitive diagnosis model (TCDM), this provides significant technology structure for understanding target technology using the result of patent keyword analysis by TCDM. We illustrate the performance of the TCDM by the experiments using the patent documents related to artificial intelligence (AI) technology. The final goal of these experiments is to find the relationship between core technologies for AI.
- 발행기관:
- 한국통신학회
- 분류:
- 정보통신